메뉴 건너뛰기




Volumn 5, Issue 1, 2017, Pages 33-52

Remote Sensing Image Classification: A survey of support-vector-machine-based advanced techniques

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DECISION SUPPORT SYSTEMS; IMAGE ANALYSIS; IMAGE CLASSIFICATION; REMOTE SENSING; SATELLITE IMAGERY; SURVEYS;

EID: 85016227813     PISSN: 24732397     EISSN: 21686831     Source Type: Journal    
DOI: 10.1109/MGRS.2016.2641240     Document Type: Review
Times cited : (164)

References (151)
  • 2
    • 33947591833 scopus 로고    scopus 로고
    • Survey of image classification methods and techniques for improving classification performance
    • Mar.
    • D. Lu and Q. Weng, "Survey of image classification methods and techniques for improving classification performance, " Int. J. Remote Sensing, vol. 28, no. 5, pp. 823-870, Mar. 2007.
    • (2007) Int. J. Remote Sensing , vol.28 , Issue.5 , pp. 823-870
    • Lu, D.1    Weng, Q.2
  • 3
    • 8844278616 scopus 로고    scopus 로고
    • Fuzzy partitioning using a real-coded variable-length genetic algorithm for pixel classification
    • June
    • U. Maulik and S. Bandyopadhyay, "Fuzzy partitioning using a real-coded variable-length genetic algorithm for pixel classification, " IEEE Trans. Geosci. Remote Sens., vol. 41, no. 5, pp. 1075-1081, June 2003.
    • (2003) IEEE Trans. Geosci. Remote Sens. , vol.41 , Issue.5 , pp. 1075-1081
    • Maulik, U.1    Bandyopadhyay, S.2
  • 4
    • 0036937614 scopus 로고    scopus 로고
    • Performance evaluation of some clustering algorithms and validity indices
    • Dec.
    • U. Maulik and S. Bandyopadhyay, "Performance evaluation of some clustering algorithms and validity indices, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 12, pp. 1650-1654, Dec. 2002.
    • (2002) IEEE Trans. Pattern Anal. Mach. Intell. , vol.24 , Issue.12 , pp. 1650-1654
    • Maulik, U.1    Bandyopadhyay, S.2
  • 5
    • 34548139403 scopus 로고    scopus 로고
    • Clustering using multi-objective genetic algorithm and its application to image segmentation
    • Nov.
    • A. Mukhopadhyay, S. Bandyopadhyay, and U. Maulik, "Clustering using multi-objective genetic algorithm and its application to image segmentation, " in Proc. IEEE Int. Conf. Syst., Man, Cybernetics, vol. 3, Nov. 2006, pp. 2678-2683.
    • (2006) Proc. IEEE Int. Conf. Syst., Man, Cybernetics , vol.3 , pp. 2678-2683
    • Mukhopadhyay, A.1    Bandyopadhyay, S.2    Maulik, U.3
  • 6
    • 63149099143 scopus 로고    scopus 로고
    • Multiobjective genetic clustering for pixel classification in remote sensing imagery
    • May
    • S. Bandyopadhyay, U. Maulik, and A. Mukhopadhyay, "Multiobjective genetic clustering for pixel classification in remote sensing imagery, " IEEE Trans. Geosci. Remote Sens., vol. 47, no. 4, pp. 1132-1138, May 2009.
    • (2009) IEEE Trans. Geosci. Remote Sens. , vol.47 , Issue.4 , pp. 1132-1138
    • Bandyopadhyay, S.1    Maulik, U.2    Mukhopadhyay, A.3
  • 7
    • 55749114213 scopus 로고    scopus 로고
    • Combining multiobjective fuzzy clustering and probabilistic ANN classifier for unsupervised pattern classification: Application to satellite image segmentation
    • June
    • A. Mukhopadhyay, S. Bandyopadhyay, and U. Maulik, "Combining multiobjective fuzzy clustering and probabilistic ANN classifier for unsupervised pattern classification: Application to satellite image segmentation, " in Proc. IEEE World Congr. Evolutionary Computation, June 2008, pp. 877-883.
    • (2008) Proc. IEEE World Congr. Evolutionary Computation , pp. 877-883
    • Mukhopadhyay, A.1    Bandyopadhyay, S.2    Maulik, U.3
  • 8
    • 84930656510 scopus 로고    scopus 로고
    • A survey of multiobjective evolutionary clustering
    • July
    • A. Mukhopadhyay, U. Maulik, and S. Bandyopadhyay, "A survey of multiobjective evolutionary clustering, " ACM Computing Surveys, vol. 47, no. 4, pp. 61:1-61:46, July 2015.
    • (2015) ACM Computing Surveys , vol.47 , Issue.4 , pp. 611-6146
    • Mukhopadhyay, A.1    Maulik, U.2    Bandyopadhyay, S.3
  • 16
    • 33744584654 scopus 로고
    • Induction and decision trees
    • J. R. Quinlan, "Induction and decision trees, " J. Mach. Learning, vol. 1, no. 1, pp. 81-106, 1986.
    • (1986) J. Mach. Learning , vol.1 , Issue.1 , pp. 81-106
    • Quinlan, J.R.1
  • 19
    • 33745456231 scopus 로고    scopus 로고
    • Semi-supervised learning literature survey
    • Univ. Wisconsin-Madison, WI, Tech. Rep. 1530
    • X. Zhu. (2005). Semi-supervised learning literature survey. Comput. Sci., Univ. Wisconsin-Madison, WI, Tech. Rep. 1530. [Online]. Available: http://www. cs. wisc. edu/jerryzhu/pub/ssl survey. pdf
    • (2005) Comput. Sci.
    • Zhu, X.1
  • 22
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the em algorithm
    • N. M. Dempster, A. P. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the EM algorithm, " J. Roy. Statistical Soc., Series B, vol. 39, no. 1, pp. 1-38, 1977.
    • (1977) J. Roy. Statistical Soc., Series B , vol.39 , Issue.1 , pp. 1-38
    • Dempster, N.M.1    Laird, A.P.2    Rubin, D.B.3
  • 23
    • 0035694667 scopus 로고    scopus 로고
    • An adaptive classifier design for high dimensional data analysis with a limited training set
    • Dec.
    • Q. Jackson and D. A. Landgrebe, "An adaptive classifier design for high dimensional data analysis with a limited training set, " IEEE Trans. Geosci. Remote Sens., vol. 39, no. 2, pp. 2664-2679, Dec. 2001.
    • (2001) IEEE Trans. Geosci. Remote Sens. , vol.39 , Issue.2 , pp. 2664-2679
    • Jackson, Q.1    Landgrebe, D.A.2
  • 26
    • 85027939240 scopus 로고    scopus 로고
    • Development and evaluation of cost-sensitive universum-SVM
    • Apr.
    • S. Dhar and V. Cherkassky, "Development and evaluation of cost-sensitive universum-SVM, " IEEE Trans. Cybern., vol. 45, no. 4, pp. 806-818, Apr. 2015.
    • (2015) IEEE Trans. Cybern. , vol.45 , Issue.4 , pp. 806-818
    • Dhar, S.1    Cherkassky, V.2
  • 27
    • 39049145967 scopus 로고    scopus 로고
    • Semi-supervised graph-based hyperspectral image classification
    • Sept.
    • G. Camps-Valls, T. Bandos, and D. Zhou, "Semi-supervised graph-based hyperspectral image classification, " IEEE Trans. Geosci. Remote Sens., vol. 45, no. 10, pp. 3044-3054, Sept. 2007.
    • (2007) IEEE Trans. Geosci. Remote Sens. , vol.45 , Issue.10 , pp. 3044-3054
    • Camps-Valls, G.1    Bandos, T.2    Zhou, D.3
  • 29
    • 33748126301 scopus 로고    scopus 로고
    • Confidence-based active learning
    • Aug.
    • M. Li and I. K. Sethi, "Confidence-based active learning, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, no. 8, pp. 1251-1261, Aug. 2006.
    • (2006) IEEE Trans. Pattern Anal. Mach. Intell. , vol.28 , Issue.8 , pp. 1251-1261
    • Li, M.1    Sethi, I.K.2
  • 31
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • June
    • C. J. C. Burges, "A tutorial on support vector machines for pattern recognition, " Knowledge Discovery and Data Mining, vol. 2, pp. 121-167, June 1998.
    • (1998) Knowledge Discovery and Data Mining , vol.2 , pp. 121-167
    • Burges, C.J.C.1
  • 33
    • 0036113847 scopus 로고    scopus 로고
    • Classification using ASTER data and SVM algorithms; The case study of Beer Sheva, Israel
    • May
    • G. Zhu and D. G. Blumberg, "Classification using ASTER data and SVM algorithms; the case study of Beer Sheva, Israel, " Remote Sensing Environment, vol. 80, no. 2, pp. 233-240, May 2002.
    • (2002) Remote Sensing Environment , vol.80 , Issue.2 , pp. 233-240
    • Zhu, G.1    Blumberg, D.G.2
  • 34
    • 34249753618 scopus 로고
    • Support-vector networks
    • Sept.
    • C. Cortes and V. Vapnik, "Support-vector networks, " Mach. Learning, vol. 20, pp. 273-297, Sept. 1995.
    • (1995) Mach. Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 37
    • 0028976638 scopus 로고
    • Status of remote sensing algorithms for estimation of land surface state parameters
    • Jan.
    • F. G. Hall, J. R. G. Townshend, and E. T. Engman, "Status of remote sensing algorithms for estimation of land surface state parameters, " Remote Sensing Environment, vol. 51, no. 1, pp. 138-156, Jan. 1995.
    • (1995) Remote Sensing Environment , vol.51 , Issue.1 , pp. 138-156
    • Hall, F.G.1    Townshend, J.R.G.2    Engman, E.T.3
  • 38
    • 0023331258 scopus 로고
    • An introduction to computing with neural nets
    • Apr.
    • R. P. Lippman, "An introduction to computing with neural nets, " IEEE ASSP Mag., vol. 4, pp. 2-22, Apr. 1987.
    • (1987) IEEE ASSP Mag. , vol.4 , pp. 2-22
    • Lippman, R.P.1
  • 39
    • 0029415649 scopus 로고
    • A review and analysis of backpropagation neural networks for classification of remotely sensed multi-spectral imagery
    • J. D. Paola and R. A. Schowengerdt, "A review and analysis of backpropagation neural networks for classification of remotely sensed multi-spectral imagery, " Int. J. Remote Sensing, vol. 16, no. 16, pp. 3033-3058, 1995.
    • (1995) Int. J. Remote Sensing , vol.16 , Issue.16 , pp. 3033-3058
    • Paola, J.D.1    Schowengerdt, R.A.2
  • 40
    • 0031105739 scopus 로고    scopus 로고
    • Neural networks in remote sensing
    • Feb.
    • P. M. Atkinson and A. R. L. Tatnall, "Neural networks in remote sensing, " Int. J. Remote Sensing, vol. 18, pp. 699-709, Feb. 1997.
    • (1997) Int. J. Remote Sensing , vol.18 , pp. 699-709
    • Atkinson, P.M.1    Tatnall, A.R.L.2
  • 41
    • 0026154509 scopus 로고
    • A survey of decision tree classifier methodology
    • May
    • S. R. Safavian and D. Landgrebe, "A survey of decision tree classifier methodology, " IEEE Trans. Syst., Man, Cybern., vol. 21, pp. 660-674, May 1991.
    • (1991) IEEE Trans. Syst., Man, Cybern. , vol.21 , pp. 660-674
    • Safavian, S.R.1    Landgrebe, D.2
  • 42
    • 0032216156 scopus 로고    scopus 로고
    • Global land cover classifications at 8 km spatial resolution: The use of training data derived from Landsat imagery in decision tree classifiers
    • Nov.
    • R. S. DeFries, M. Hansen, J. R. G. Townshend, and R. Sohlberg, "Global land cover classifications at 8 km spatial resolution: The use of training data derived from Landsat imagery in decision tree classifiers, " Int. J. Remote Sensing, vol. 19, pp. 3141-3168, Nov. 1998.
    • (1998) Int. J. Remote Sensing , vol.19 , pp. 3141-3168
    • DeFries, R.S.1    Hansen, M.2    Townshend, J.R.G.3    Sohlberg, R.4
  • 43
    • 0034655867 scopus 로고    scopus 로고
    • Global land cover classification at 1 km spatial resolution using a classification tree approach
    • Apr.
    • M. C. Hansen, R. S. DeFries, J. R. G. Townshend, and R. Sohlberg, "Global land cover classification at 1 km spatial resolution using a classification tree approach, " Int. J. Remote Sensing, vol. 21, no. 6/7, pp. 1331-1364, Apr. 2000.
    • (2000) Int. J. Remote Sensing , vol.21 , Issue.6-7 , pp. 1331-1364
    • Hansen, M.C.1    DeFries, R.S.2    Townshend, J.R.G.3    Sohlberg, R.4
  • 44
    • 0032638011 scopus 로고    scopus 로고
    • A neural-statistical approach to multitemporal and multisource remote-sensing image classification
    • May
    • L. Bruzzone, D. F. Prieto, and S. B. Serpico, "A neural-statistical approach to multitemporal and multisource remote-sensing image classification, " IEEE Trans. Geosci. Remote Sens., vol. 37, no. 3, pp. 1350-1359, May 1999.
    • (1999) IEEE Trans. Geosci. Remote Sens. , vol.37 , Issue.3 , pp. 1350-1359
    • Bruzzone, L.1    Prieto, D.F.2    Serpico, S.B.3
  • 45
    • 0032635034 scopus 로고    scopus 로고
    • Classification of multisource and hyperspectral data based on decision fusion
    • May
    • J. A. Benediktsson and I. Kanellopoulos, "Classification of multisource and hyperspectral data based on decision fusion, " IEEE Trans. Geosci. Remote Sens., vol. 37, no. 3, pp. 1367-1377, May 1999.
    • (1999) IEEE Trans. Geosci. Remote Sens. , vol.37 , Issue.3 , pp. 1367-1377
    • Benediktsson, J.A.1    Kanellopoulos, I.2
  • 46
    • 0032654452 scopus 로고    scopus 로고
    • Classification of hyperdimensional data based on feature and decision fusion approaches using projection pursuit, majority voting and neural networks
    • May
    • L. O. Jimenez, A. Morales-Morell, and A. Creus, "Classification of hyperdimensional data based on feature and decision fusion approaches using projection pursuit, majority voting and neural networks, " IEEE Trans. Geosci. Remote Sens., vol. 37, no. 3, pp. 1360-1366, May 1999.
    • (1999) IEEE Trans. Geosci. Remote Sens. , vol.37 , Issue.3 , pp. 1360-1366
    • Jimenez, L.O.1    Morales-Morell, A.2    Creus, A.3
  • 47
    • 0037138473 scopus 로고    scopus 로고
    • An assessment of support vector machines for land cover classification
    • C. Huang, L. S. Davis, and J. R. G. Townshend, "An assessment of support vector machines for land cover classification, " Int. J. Remote Sensing, vol. 23, no. 4, pp. 725-749, 2002.
    • (2002) Int. J. Remote Sensing , vol.23 , Issue.4 , pp. 725-749
    • Huang, C.1    Davis, L.S.2    Townshend, J.R.G.3
  • 48
    • 79951950272 scopus 로고    scopus 로고
    • Support vector machines in remote sensing: A review
    • May
    • G. Mountrakis, J. Im, and C. Ogole, "Support vector machines in remote sensing: A review, " ISPRS J. Photogrammetry Remote Sensing, vol. 66, no. 3, pp. 247-259, May 2011.
    • (2011) ISPRS J. Photogrammetry Remote Sensing , vol.66 , Issue.3 , pp. 247-259
    • Mountrakis, G.1    Im, J.2    Ogole, C.3
  • 50
    • 77957741951 scopus 로고
    • On the mean accuracy of statistical pattern recognition
    • Jan.
    • G. F. Hughes, "On the mean accuracy of statistical pattern recognition, " IEEE Trans. Inform. Theory, vol. IT-14, no. 1, pp. 55-63, Jan. 1968.
    • (1968) IEEE Trans. Inform. Theory , vol.IT-14 , Issue.1 , pp. 55-63
    • Hughes, G.F.1
  • 51
    • 84902080705 scopus 로고    scopus 로고
    • Active and semisupervised learning for the classification of remote sensing images
    • Oct.
    • C. Persello and L. Bruzzone, "Active and semisupervised learning for the classification of remote sensing images, " IEEE Trans. Geosci. Remote Sens., vol. 52, no. 11, pp. 6937-6956, Oct. 2014.
    • (2014) IEEE Trans. Geosci. Remote Sens. , vol.52 , Issue.11 , pp. 6937-6956
    • Persello, C.1    Bruzzone, L.2
  • 52
    • 84979916810 scopus 로고    scopus 로고
    • A review of modern approaches to classification of remote sensing data
    • I. Manakos, M. Braun, Eds. New York: Springer-Verlag, Chapter 9
    • L. Bruzzone and B. Demir, "A review of modern approaches to classification of remote sensing data, " in Land Use and Land Cover Mapping Europe, Practices and Trends, I. Manakos, M. Braun, Eds. New York: Springer-Verlag, Chapter 9, 2014, pp. 127-143.
    • (2014) Land Use and Land Cover Mapping Europe, Practices and Trends , pp. 127-143
    • Bruzzone, L.1    Demir, B.2
  • 54
    • 79957456032 scopus 로고    scopus 로고
    • A survey of active learning algorithms for supervised remote sensing image classification
    • July
    • D. Tuia, M. Volpi, L. Copa, M. Kanevski, and J. Munoz-Mari, "A survey of active learning algorithms for supervised remote sensing image classification, " IEEE J. Sel. Topics Signal Process, vol. 5, no. 3, pp. 606-617, July 2011.
    • (2011) IEEE J. Sel. Topics Signal Process , vol.5 , Issue.3 , pp. 606-617
    • Tuia, D.1    Volpi, M.2    Copa, L.3    Kanevski, M.4    Munoz-Mari, J.5
  • 55
    • 2942558578 scopus 로고    scopus 로고
    • Segmentation of multispectral remote sensing images using active support vector machines
    • July
    • P. Mitra, B. U. Sankar, and S. K. Pal, "Segmentation of multispectral remote sensing images using active support vector machines, " Pattern Recognition Letters, vol. 25, no. 9, pp. 1067-1074, July 2004.
    • (2004) Pattern Recognition Letters , vol.25 , Issue.9 , pp. 1067-1074
    • Mitra, P.1    Sankar, B.U.2    Pal, S.K.3
  • 56
    • 9944254253 scopus 로고    scopus 로고
    • Detection of buried targets via active selection of labeled data: Application to sensing subsurface UXO
    • Dec.
    • Y. Zhang, X. Liao, and L. Carin, "Detection of buried targets via active selection of labeled data: Application to sensing subsurface UXO, " IEEE Trans. Geosci. Remote Sens., vol. 42, no. 11, pp. 2535-2543, Dec. 2004.
    • (2004) IEEE Trans. Geosci. Remote Sens. , vol.42 , Issue.11 , pp. 2535-2543
    • Zhang, Y.1    Liao, X.2    Carin, L.3
  • 57
    • 33947617297 scopus 로고    scopus 로고
    • Interactive remote-sensing image retrieval using active relevance feedback
    • Apr.
    • M. Ferecatu and N. Boujemaa, "Interactive remote-sensing image retrieval using active relevance feedback, " IEEE Trans. Geosci. Remote Sens., vol. 45, no. 4, pp. 818-826, Apr. 2007.
    • (2007) IEEE Trans. Geosci. Remote Sens. , vol.45 , Issue.4 , pp. 818-826
    • Ferecatu, M.1    Boujemaa, N.2
  • 58
    • 0007696417 scopus 로고    scopus 로고
    • Less is more: Active learning with support vectors machines
    • Stanford, CA
    • G. Schohn and D. Cohn, "Less is more: Active learning with support vectors machines, " in Proc. 17th Int. Conf. Mach. Learning, Stanford, CA, 2000, pp. 839-846.
    • (2000) Proc. 17th Int. Conf. Mach. Learning , pp. 839-846
    • Schohn, G.1    Cohn, D.2
  • 60
    • 52749091847 scopus 로고    scopus 로고
    • Enhanced duckweed detection using bootstrapped SVM classification on medium resolution RGB MODIS imagery
    • Sept.
    • C. Castillo, I. Chollett, and E. Klein, "Enhanced duckweed detection using bootstrapped SVM classification on medium resolution RGB MODIS imagery, " Int. J. Remote Sensing, vol. 29, no. 19, pp. 5595-5604, Sept. 2008.
    • (2008) Int. J. Remote Sensing , vol.29 , Issue.19 , pp. 5595-5604
    • Castillo, C.1    Chollett, I.2    Klein, E.3
  • 62
    • 0001025146 scopus 로고    scopus 로고
    • Query learning strategies using boosting and bagging
    • Madison, WI
    • N. Abe and H. Mamitsuka, "Query learning strategies using boosting and bagging, " in Proc. 15th Int. Conf. Mach. Learning, Madison, WI, 1998, pp. 1-9.
    • (1998) Proc. 15th Int. Conf. Mach. Learning , pp. 1-9
    • Abe, N.1    Mamitsuka, H.2
  • 63
    • 79952041537 scopus 로고    scopus 로고
    • Batch-mode active learning methods for the interactive classification of remote sensing images
    • Mar.
    • B. Demir, C. Persello, and L. Bruzzone, "Batch-mode active learning methods for the interactive classification of remote sensing images, " IEEE Trans. Geosci. Remote Sens., vol. 49, no. 3, pp. 1014-1031, Mar. 2011.
    • (2011) IEEE Trans. Geosci. Remote Sens. , vol.49 , Issue.3 , pp. 1014-1031
    • Demir, B.1    Persello, C.2    Bruzzone, L.3
  • 64
    • 84859302340 scopus 로고    scopus 로고
    • A cluster-assumption based batch mode active learning
    • June
    • S. Patra and L. Bruzzone, "A cluster-assumption based batch mode active learning, " Pattern Recognition Lett., vol. 33, no. 9, pp. 1042-1048, June 2012.
    • (2012) Pattern Recognition Lett. , vol.33 , Issue.9 , pp. 1042-1048
    • Patra, S.1    Bruzzone, L.2
  • 65
    • 84870901798 scopus 로고    scopus 로고
    • Interactive domain adaptation for the classification of remote sensing images using active learning
    • June
    • C. Persello, "Interactive domain adaptation for the classification of remote sensing images using active learning, " IEEE Geosci. Remote Sens. Lett., vol. 10, no. 4, pp. 736-740, June 2013.
    • (2013) IEEE Geosci. Remote Sens. Lett. , vol.10 , Issue.4 , pp. 736-740
    • Persello, C.1
  • 66
    • 67649763976 scopus 로고    scopus 로고
    • An efficient active learning algorithm with knowledge transfer for hyperspectral data analysis
    • July
    • G. Jun and J. Ghosh, "An efficient active learning algorithm with knowledge transfer for hyperspectral data analysis, " in Proc. IEEE Int. Geosci. Remote Sens. Symp., vol. 1, July 2008, pp. I-52-I-55.
    • (2008) Proc. IEEE Int. Geosci. Remote Sens. Symp. , vol.1 , pp. I52-I55
    • Jun, G.1    Ghosh, J.2
  • 67
    • 84869490360 scopus 로고    scopus 로고
    • Active learning for domain adaptation in the supervised classification of remote sensing images
    • Oct.
    • C. Persello and L. Bruzzone, "Active learning for domain adaptation in the supervised classification of remote sensing images, " IEEE Trans. Geosci. Remote Sens., vol. 50, no. 11, pp. 4468-4483, Oct. 2012.
    • (2012) IEEE Trans. Geosci. Remote Sens. , vol.50 , Issue.11 , pp. 4468-4483
    • Persello, C.1    Bruzzone, L.2
  • 68
    • 84860318734 scopus 로고    scopus 로고
    • View generation for multiview maximum disagreement based active learning for hyperspectral image classification
    • Apr.
    • W. Di and M. M. Crawford, "View generation for multiview maximum disagreement based active learning for hyperspectral image classification, " IEEE Trans. Geosci. Remote Sens., vol. 50, no. 5, pp. 1942-1954, Apr. 2012.
    • (2012) IEEE Trans. Geosci. Remote Sens. , vol.50 , Issue.5 , pp. 1942-1954
    • Di, W.1    Crawford, M.M.2
  • 69
    • 79957458331 scopus 로고    scopus 로고
    • Active learning via multi-view and local proximity co-regularization for hyperspectral image classification
    • June
    • W. Di and M. M. Crawford, "Active learning via multi-view and local proximity co-regularization for hyperspectral image classification, " IEEE J. Sel. Topics Signal Process., vol. 5, no. 3, pp. 618-628, June 2011.
    • (2011) IEEE J. Sel. Topics Signal Process. , vol.5 , Issue.3 , pp. 618-628
    • Di, W.1    Crawford, M.M.2
  • 70
    • 84892437309 scopus 로고    scopus 로고
    • SVM active learning approach for image classification using spatial information
    • Mar.
    • E. Pasolli, F. Melgani, D. Tuia, F. Pacifici, and W. J. Emery, "SVM active learning approach for image classification using spatial information, " IEEE Trans. Geosci. Remote Sens., vol. 52, no. 4, pp. 2217-2233, Mar. 2014.
    • (2014) IEEE Trans. Geosci. Remote Sens. , vol.52 , Issue.4 , pp. 2217-2233
    • Pasolli, E.1    Melgani, F.2    Tuia, D.3    Pacifici, F.4    Emery, W.J.5
  • 71
    • 26944494511 scopus 로고    scopus 로고
    • Partially supervised classification based on weighted unlabeled samples support vector machine
    • Aug.
    • Z. Liu, W. Shi, D. Li, and Q. Qin, "Partially supervised classification based on weighted unlabeled samples support vector machine, " Advanced Data Mining and Applicat., vol. 3584, pp. 118-129, Aug. 2005.
    • (2005) Advanced Data Mining and Applicat. , vol.3584 , pp. 118-129
    • Liu, Z.1    Shi, W.2    Li, D.3    Qin, Q.4
  • 75
    • 33745699894 scopus 로고    scopus 로고
    • Transductive SVM for semisupervised classification of hyperspectral data
    • Seoul, Korea, July
    • L. Bruzzone, M. Chi, and M. Marconcini, "Transductive SVM for semisupervised classification of hyperspectral data, " in IEEE Int. Geosci. Remote Sens. Symp., Seoul, Korea, July 2005.
    • (2005) IEEE Int. Geosci. Remote Sens. Symp.
    • Bruzzone, L.1    Chi, M.2    Marconcini, M.3
  • 76
    • 33750819329 scopus 로고    scopus 로고
    • A novel transductive SVM for semisupervised classification of remote-sensing images
    • Nov.
    • L. Bruzzone, M. Chi, and M. Marconcini, "A novel transductive SVM for semisupervised classification of remote-sensing images, " IEEE Trans. Geosci. Remote Sens., vol. 44, no. 11, pp. 3363-3373, Nov. 2006.
    • (2006) IEEE Trans. Geosci. Remote Sens. , vol.44 , Issue.11 , pp. 3363-3373
    • Bruzzone, L.1    Chi, M.2    Marconcini, M.3
  • 77
    • 42449121174 scopus 로고    scopus 로고
    • Semisupervised support vector machines for classification of hyperspectral remote sensing images
    • C.-I. Chang, Ed. Hoboken, NJ: Wiley
    • L. Bruzzone, M. Chi, and M. Marconcini, "Semisupervised support vector machines for classification of hyperspectral remote sensing images, " in Hyperspectral Data Exploration: Theory and Applications, C.-I. Chang, Ed. Hoboken, NJ: Wiley, 2007, pp. 275-311.
    • (2007) Hyperspectral Data Exploration: Theory and Applications , pp. 275-311
    • Bruzzone, L.1    Chi, M.2    Marconcini, M.3
  • 78
    • 35348821947 scopus 로고    scopus 로고
    • Hyperspectral image classification using relevance vector machines
    • Oct.
    • B. Demir and S. Erturk, "Hyperspectral image classification using relevance vector machines, " IEEE Geosci. Remote Sens. Lett, vol. 4, no. 4, pp. 586-590, Oct. 2007.
    • (2007) IEEE Geosci. Remote Sens. Lett , vol.4 , Issue.4 , pp. 586-590
    • Demir, B.1    Erturk, S.2
  • 79
    • 40349100592 scopus 로고    scopus 로고
    • RVM-based multi-class classification of remotely sensed data
    • Mar.
    • G. M. Foody, "RVM-based multi-class classification of remotely sensed data, " Int. J. Remote Sens, vol. 29, no. 6, pp. 1817-1823, Mar. 2008.
    • (2008) Int. J. Remote Sens , vol.29 , Issue.6 , pp. 1817-1823
    • Foody, G.M.1
  • 80
    • 52649173882 scopus 로고    scopus 로고
    • An improved SVM method P-SVM for classification of remotely sensed data
    • Oct.
    • R. Zhang and J. Ma, "An improved SVM method P-SVM for classification of remotely sensed data, " Int. J. Remote Sens, vol. 29, no. 20, pp. 6029-6036, Oct. 2008.
    • (2008) Int. J. Remote Sens , vol.29 , Issue.20 , pp. 6029-6036
    • Zhang, R.1    Ma, J.2
  • 81
    • 1242308803 scopus 로고    scopus 로고
    • A cost effective semisupervised classifier approach with kernels
    • Jan.
    • M. M. Dunder and D. A. Landgrebe, "A cost effective semisupervised classifier approach with kernels, " IEEE Trans. Geosci. Remote Sens., vol. 42, no. 1, pp. 264-270, Jan. 2004.
    • (2004) IEEE Trans. Geosci. Remote Sens. , vol.42 , Issue.1 , pp. 264-270
    • Dunder, M.M.1    Landgrebe, D.A.2
  • 83
    • 42749086766 scopus 로고    scopus 로고
    • Classification of hyperspectral remote-sensing data with primal SVM for small-sized training dataset problem
    • Dec.
    • M. Chi, R. Feng, and L. Bruzzone, "Classification of hyperspectral remote-sensing data with primal SVM for small-sized training dataset problem, " Advances in Space Research, vol. 41, pp. 1793-1799, Dec. 2008.
    • (2008) Advances in Space Research , vol.41 , pp. 1793-1799
    • Chi, M.1    Feng, R.2    Bruzzone, L.3
  • 84
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Sept.
    • L. Breiman, "Random forests, " Machine Learning, vol. 45, no. 1, pp. 5-32, Sept. 2001.
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 86
    • 15944382343 scopus 로고    scopus 로고
    • Integrating support vector machines in a hierarchical output space decomposition framework
    • Alaska
    • Y. Chen, M. Crawford, and J. Ghosh, "Integrating support vector machines in a hierarchical output space decomposition framework, " in Proc. IEEE Int. Geoscience Remote Sensing Symp., Alaska, 2004.
    • (2004) Proc. IEEE Int. Geoscience Remote Sensing Symp.
    • Chen, Y.1    Crawford, M.2    Ghosh, J.3
  • 87
    • 34249810956 scopus 로고    scopus 로고
    • Semisupervised classification of hyperspectral images by SVMs optimized in the primal
    • June
    • M. Chi and L. Bruzzone, "Semisupervised classification of hyperspectral images by SVMs optimized in the primal, " IEEE Trans. Geosci. Remote Sens., vol. 45, no. 6, pp. 1870-1880, June 2007.
    • (2007) IEEE Trans. Geosci. Remote Sens. , vol.45 , Issue.6 , pp. 1870-1880
    • Chi, M.1    Bruzzone, L.2
  • 90
    • 33750729556 scopus 로고    scopus 로고
    • Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
    • Oct.
    • M. Belkin, P. Niyogi, and V. Sindhwani, "Manifold regularization: A geometric framework for learning from labeled and unlabeled examples, " J. Machine Learning Res., vol. 7, pp. 2399-2434, Oct. 2006.
    • (2006) J. Machine Learning Res. , vol.7 , pp. 2399-2434
    • Belkin, M.1    Niyogi, P.2    Sindhwani, V.3
  • 92
    • 47849095828 scopus 로고    scopus 로고
    • Semisupervised image classification with Laplacian support vector machines
    • July
    • L. Gomez-Chova, G. Camps-Valls, J. Munoz-Mari, and J. Calpe, "Semisupervised image classification with Laplacian support vector machines, " IEEE Geosci. Remote Sens. Lett., vol. 5, no. 3, pp. 336-340, July 2008.
    • (2008) IEEE Geosci. Remote Sens. Lett. , vol.5 , Issue.3 , pp. 336-340
    • Gomez-Chova, L.1    Camps-Valls, G.2    Munoz-Mari, J.3    Calpe, J.4
  • 93
    • 84880301480 scopus 로고    scopus 로고
    • Optimized Laplacian SVM with distance metric learning for hyperspectral image classification
    • May
    • Y. Gu and K. Feng, "Optimized Laplacian SVM with distance metric learning for hyperspectral image classification, " IEEE J. Sel. Topics Appl. Earth Observ. in Remote Sens., vol. 6, no. 3, pp. 1109-1117, May 2013.
    • (2013) IEEE J. Sel. Topics Appl. Earth Observ. in Remote Sens. , vol.6 , Issue.3 , pp. 1109-1117
    • Gu, Y.1    Feng, K.2
  • 96
    • 65049090023 scopus 로고    scopus 로고
    • A composite semisupervised SVM for classification of hyperspectral images
    • Mar.
    • M. Marconcini, G. Camps-Valls, and L. Bruzzone, "A composite semisupervised SVM for classification of hyperspectral images, " IEEE Geosci. Remote Sens. Lett., vol. 6, no. 2, pp. 234-238, Mar. 2009.
    • (2009) IEEE Geosci. Remote Sens. Lett. , vol.6 , Issue.2 , pp. 234-238
    • Marconcini, M.1    Camps-Valls, G.2    Bruzzone, L.3
  • 97
    • 67651166635 scopus 로고    scopus 로고
    • A novel context-sensitive semisupervised SVM classifier robust to mislabeled training samples
    • July
    • L. Bruzzone and C. Persello, "A novel context-sensitive semisupervised SVM classifier robust to mislabeled training samples, " IEEE Trans. Geosci. Remote Sens., vol. 47, no. 7, pp. 2142-2154, July 2009.
    • (2009) IEEE Trans. Geosci. Remote Sens. , vol.47 , Issue.7 , pp. 2142-2154
    • Bruzzone, L.1    Persello, C.2
  • 98
    • 65049084094 scopus 로고    scopus 로고
    • Semisupervised remote sensing image classification with cluster kernels
    • Apr.
    • D. Tuia and G. Camps-Valls, "Semisupervised remote sensing image classification with cluster kernels, " IEEE Geosci. Remote Sens. Lett., vol. 6, no. 2, pp. 224-228, Apr. 2009.
    • (2009) IEEE Geosci. Remote Sens. Lett. , vol.6 , Issue.2 , pp. 224-228
    • Tuia, D.1    Camps-Valls, G.2
  • 99
    • 79953094686 scopus 로고    scopus 로고
    • Urban image classification with semisupervised multiscale cluster kernels
    • Mar.
    • D. Tuia and G. Camps-Valls, "Urban image classification with semisupervised multiscale cluster kernels, " IEEE J. Sel. Topics Appl. Earth Observ. in Remote Sens., vol. 4, no. 1, pp. 65-74, Mar. 2011.
    • (2011) IEEE J. Sel. Topics Appl. Earth Observ. in Remote Sens. , vol.4 , Issue.1 , pp. 65-74
    • Tuia, D.1    Camps-Valls, G.2
  • 100
    • 84906780083 scopus 로고    scopus 로고
    • Semisupervised classification of remote sensing images with hierarchical spatial similarity
    • Dec.
    • L. Huo, P. Tang, Z. Zhang, and D. Tuia, "Semisupervised classification of remote sensing images with hierarchical spatial similarity, " IEEE Trans. Geosci. Remote Sens. Lett., vol. 12, no. 1, pp. 150-154, Dec. 2015.
    • (2015) IEEE Trans. Geosci. Remote Sens. Lett. , vol.12 , Issue.1 , pp. 150-154
    • Huo, L.1    Tang, P.2    Zhang, Z.3    Tuia, D.4
  • 101
  • 102
    • 63149099144 scopus 로고    scopus 로고
    • Toward the automatic updating of land-cover maps by a domain-adaptation SVM classifier and a circular validation strategy
    • Apr.
    • L. Bruzzone and M. Marconcini, "Toward the automatic updating of land-cover maps by a domain-adaptation SVM classifier and a circular validation strategy, " IEEE Trans. Geosci. Remote Sens., vol. 47, no. 4, pp. 1108-1122, Apr. 2009.
    • (2009) IEEE Trans. Geosci. Remote Sens. , vol.47 , Issue.4 , pp. 1108-1122
    • Bruzzone, L.1    Marconcini, M.2
  • 103
    • 34547490449 scopus 로고    scopus 로고
    • Partially supervised oilslick detection by SAR imagery using kernel expansion
    • Oct.
    • G. Mercier and F. Girard-Ardhuin, "Partially supervised oilslick detection by SAR imagery using kernel expansion, " IEEE Trans. Geosci. Remote Sens., vol. 44, no. 10, pp. 2839-2846, Oct. 2006.
    • (2006) IEEE Trans. Geosci. Remote Sens. , vol.44 , Issue.10 , pp. 2839-2846
    • Mercier, G.1    Girard-Ardhuin, F.2
  • 105
    • 33746715536 scopus 로고    scopus 로고
    • Oil slick detection by SAR imager y using support vector machines
    • Brest, France, June 20-23
    • G. Mercier and F. Girard-Ardhuin, "Oil slick detection by SAR imager y using support vector machines, " in Proc. IEEE OceansEurope, Brest, France, June 20-23, 2005, pp. 90-95.
    • (2005) Proc. IEEE OceansEurope , pp. 90-95
    • Mercier, G.1    Girard-Ardhuin, F.2
  • 106
    • 33746885881 scopus 로고    scopus 로고
    • A support vector method for anomaly detection in hyperspectral imagery
    • Aug.
    • A. Banerjee, P. Burlina, and C. Diehl, "A support vector method for anomaly detection in hyperspectral imagery, " IEEE Trans. Geosci. Remote Sens., vol. 44, no. 8, pp. 2282-2291, Aug. 2006.
    • (2006) IEEE Trans. Geosci. Remote Sens. , vol.44 , Issue.8 , pp. 2282-2291
    • Banerjee, A.1    Burlina, P.2    Diehl, C.3
  • 107
    • 34547399927 scopus 로고    scopus 로고
    • A support vector domain description approach to supervised classification of remote sensing images
    • Aug.
    • J. Munoz-Mari, L. Bruzzone, and G. Camps-Valls, "A support vector domain description approach to supervised classification of remote sensing images, " IEEE Trans. Geosci. Remote Sens., vol. 45, no. 8, pp. 2683-2692, Aug. 2007.
    • (2007) IEEE Trans. Geosci. Remote Sens. , vol.45 , Issue.8 , pp. 2683-2692
    • Munoz-Mari, J.1    Bruzzone, L.2    Camps-Valls, G.3
  • 108
    • 44049084715 scopus 로고    scopus 로고
    • Kernel-based framework for multi-temporal and multi-source remote sensing data classification and change detection
    • June
    • G. Camps-Valls, L. Gomez-Chova, J. Munoz-Mari, J. L. Rojo-Alvarez, and M. Martinez-Ramon, "Kernel-based framework for multi-temporal and multi-source remote sensing data classification and change detection, " IEEE Trans. Geosci. Remote Sens., vol. 46, no. 6, pp. 1822-1835, June 2008.
    • (2008) IEEE Trans. Geosci. Remote Sens. , vol.46 , Issue.6 , pp. 1822-1835
    • Camps-Valls, G.1    Gomez-Chova, L.2    Munoz-Mari, J.3    Rojo-Alvarez, J.L.4    Martinez-Ramon, M.5
  • 109
    • 58149180961 scopus 로고    scopus 로고
    • Learning classifiers from only positive and unlabeled data
    • Las Vegas, NV, Aug. 24-27
    • C. Elkan and K. Noto, "Learning classifiers from only positive and unlabeled data, " in Proc. Int. Conf. Knowledge Discovery Data Mining, Las Vegas, NV, Aug. 24-27, 2008, pp. 213-220.
    • (2008) Proc. Int. Conf. Knowledge Discovery Data Mining , pp. 213-220
    • Elkan, C.1    Noto, K.2
  • 110
    • 77954757586 scopus 로고    scopus 로고
    • Semisupervised one-class support vector machines for classification of remote sensing data
    • Aug.
    • J. Munoz-Mari, F. Bovolo, L. Gomez-Chova, and L. Bruzzone, "Semisupervised one-class support vector machines for classification of remote sensing data, " IEEE Trans. Geosci. Remote Sens., vol. 48, no. 8, pp. 3188-3197, Aug. 2010.
    • (2010) IEEE Trans. Geosci. Remote Sens. , vol.48 , Issue.8 , pp. 3188-3197
    • Munoz-Mari, J.1    Bovolo, F.2    Gomez-Chova, L.3    Bruzzone, L.4
  • 117
  • 118
    • 33645988196 scopus 로고    scopus 로고
    • From sample similarity to ensemble similarity: Probabilistic distance measures in reproducing kernel Hilbert space
    • June
    • S. Zhou and R. Chellappa, "From sample similarity to ensemble similarity: Probabilistic distance measures in reproducing kernel Hilbert space, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, no. 6, pp. 917-929, June 2006.
    • (2006) IEEE Trans. Pattern Anal. Mach. Intell. , vol.28 , Issue.6 , pp. 917-929
    • Zhou, S.1    Chellappa, R.2
  • 120
    • 84879901809 scopus 로고    scopus 로고
    • Learn multiple kernel SVMs for domain adaptation in hyperspectral data
    • Sept.
    • Z. Sun, C. Wang, H. Wang, and J. Li, "Learn multiple kernel SVMs for domain adaptation in hyperspectral data, " IEEE Geosci. Remote Sens. Lett., vol. 10, no. 5, pp. 1224-1228, Sept. 2013.
    • (2013) IEEE Geosci. Remote Sens. Lett. , vol.10 , Issue.5 , pp. 1224-1228
    • Sun, Z.1    Wang, C.2    Wang, H.3    Li, J.4
  • 121
    • 84901839033 scopus 로고    scopus 로고
    • Semisupervised classification for hyperspectral imagery with transductive multiple-kernel learning
    • Oct.
    • Z. Sun, C. Wang, D. Li, and J. Li, "Semisupervised classification for hyperspectral imagery with transductive multiple-kernel learning, " IEEE Geosci. Remote Sens. Lett., vol. 11, no. 11, pp. 1991-1995, Oct. 2014.
    • (2014) IEEE Geosci. Remote Sens. Lett. , vol.11 , Issue.11 , pp. 1991-1995
    • Sun, Z.1    Wang, C.2    Li, D.3    Li, J.4
  • 122
    • 84860231071 scopus 로고    scopus 로고
    • A multiple kernel framework for inductive semi-supervised SVM learning
    • Aug.
    • X. Tian, G. Gasso, and S. Canu, "A multiple kernel framework for inductive semi-supervised SVM learning, " Neurocomputing, vol. 90, pp. 46-58, Aug. 2012.
    • (2012) Neurocomputing , vol.90 , pp. 46-58
    • Tian, X.1    Gasso, G.2    Canu, S.3
  • 124
    • 33745964865 scopus 로고    scopus 로고
    • One-against-all multi-class SVM classification using reliability measures
    • Dec.
    • Y. Liu and Y. F. Zheng, "One-against-all multi-class SVM classification using reliability measures, " in Proc. IEEE Int. Joint Conf. Neural Networks, vol. 2, Dec. 2004, pp. 849-854.
    • (2004) Proc. IEEE Int. Joint Conf. Neural Networks , vol.2 , pp. 849-854
    • Liu, Y.1    Zheng, Y.F.2
  • 125
    • 84865766722 scopus 로고    scopus 로고
    • A novel semisupervised SVM for pixel classification of remote sensing imagery
    • Aug.
    • U. Maulik and D. Chakraborty, "A novel semisupervised SVM for pixel classification of remote sensing imagery, " Int. J. Mach. Learning Cybern., vol. 3, no. 3, pp. 247-258, Aug. 2011.
    • (2011) Int. J. Mach. Learning Cybern. , vol.3 , Issue.3 , pp. 247-258
    • Maulik, U.1    Chakraborty, D.2
  • 126
    • 84873130855 scopus 로고    scopus 로고
    • Learning with transductive SVM for semisupervised pixel classification of remote sensing imagery
    • Feb.
    • U. Maulik and D. Chakraborty, "Learning with transductive SVM for semisupervised pixel classification of remote sensing imagery, " ISPRS J. Photogrammetry Remote Sensing, vol. 77, pp. 66-78, Feb. 2013.
    • (2013) ISPRS J. Photogrammetry Remote Sensing , vol.77 , pp. 66-78
    • Maulik, U.1    Chakraborty, D.2
  • 127
    • 84907184537 scopus 로고    scopus 로고
    • An efficient semi-supervised classification approach for hyperspectral imagery
    • Oct.
    • K. Tan, E. Li, Q. Du, and P. Du, "An efficient semi-supervised classification approach for hyperspectral imagery, " ISPRS J. Photogrammetry Remote Sensing, vol. 97, pp. 36-45, Oct. 2014.
    • (2014) ISPRS J. Photogrammetry Remote Sensing , vol.97 , pp. 36-45
    • Tan, K.1    Li, E.2    Du, Q.3    Du, P.4
  • 128
    • 70350336222 scopus 로고    scopus 로고
    • Clustering-based extraction of border training patterns for accurate SVM classification of hyperspectral images
    • Oct.
    • B. Demir and S. Erturk, "Clustering-based extraction of border training patterns for accurate SVM classification of hyperspectral images, " IEEE Geosci. Remote Sens. Lett., vol. 6, no. 4, pp. 840-844, Oct. 2009.
    • (2009) IEEE Geosci. Remote Sens. Lett. , vol.6 , Issue.4 , pp. 840-844
    • Demir, B.1    Erturk, S.2
  • 129
    • 14644402381 scopus 로고    scopus 로고
    • Partially supervised classification of remote sensing images through SVM-based probability density estimation
    • Mar.
    • P. Mantero, G. Moser, and S. B. Serpico, "Partially supervised classification of remote sensing images through SVM-based probability density estimation, " IEEE Trans. Geosci. Remote Sensing, vol. 43, no. 3, pp. 559-570, Mar. 2005.
    • (2005) IEEE Trans. Geosci. Remote Sensing , vol.43 , Issue.3 , pp. 559-570
    • Mantero, P.1    Moser, G.2    Serpico, S.B.3
  • 133
    • 33750798496 scopus 로고    scopus 로고
    • Toward an optimal SVM classification system for hyperspectral remote sensing images
    • Nov.
    • Y. Bazi and F. Melgani, "Toward an optimal SVM classification system for hyperspectral remote sensing images, " IEEE Trans. Geosci. Remote Sens., vol. 44, no. 11, pp. 3374-3385, Nov. 2006.
    • (2006) IEEE Trans. Geosci. Remote Sens. , vol.44 , Issue.11 , pp. 3374-3385
    • Bazi, Y.1    Melgani, F.2
  • 134
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • Jan.
    • I. Guyon, J. Weston, S. Barnhill, and V. Vapnik, "Gene selection for cancer classification using support vector machines, " Machine Learning, vol. 46, no. 1-3, pp. 389-422, Jan. 2002.
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 136
    • 0035391615 scopus 로고    scopus 로고
    • A new search algorithm for feature selection in hyperspectral remote sensing images
    • July
    • S. B. Serpico and L. Bruzzone, "A new search algorithm for feature selection in hyperspectral remote sensing images, " IEEE Trans. Geosci. Remote Sens., vol. 39, no. 7, pp. 1360-1367, July 2001.
    • (2001) IEEE Trans. Geosci. Remote Sens. , vol.39 , Issue.7 , pp. 1360-1367
    • Serpico, S.B.1    Bruzzone, L.2
  • 137
    • 34249816831 scopus 로고    scopus 로고
    • Semisupervised PSO-SVM regression for biophysical parameter estimation
    • June
    • Y. Bazi and F. Melgani, "Semisupervised PSO-SVM regression for biophysical parameter estimation, " IEEE Trans. Geosci. Remote Sensing, vol. 45, no. 6, pp. 1887-1895, June 2007.
    • (2007) IEEE Trans. Geosci. Remote Sensing , vol.45 , Issue.6 , pp. 1887-1895
    • Bazi, Y.1    Melgani, F.2
  • 139
    • 57649135391 scopus 로고    scopus 로고
    • Genetic SVM approach to semisupervised multitemporal classification
    • Apr.
    • N. Ghoggali and F. Melgani, "Genetic SVM approach to semisupervised multitemporal classification, " IEEE Geosci. Remote Sens. Lett., vol. 5, no. 2, pp. 212-216, Apr. 2008.
    • (2008) IEEE Geosci. Remote Sens. Lett. , vol.5 , Issue.2 , pp. 212-216
    • Ghoggali, N.1    Melgani, F.2
  • 140
    • 67349269946 scopus 로고    scopus 로고
    • A multiobjective genetic SVM approach for classification problems with limited training samples
    • June
    • N. Ghoggali, F. Melgani, and Y. Bazi, "A multiobjective genetic SVM approach for classification problems with limited training samples, " IEEE Trans. Geosci. Remote Sens., vol. 47, no. 6, pp. 1707-1718, June 2009.
    • (2009) IEEE Trans. Geosci. Remote Sens. , vol.47 , Issue.6 , pp. 1707-1718
    • Ghoggali, N.1    Melgani, F.2    Bazi, Y.3
  • 141
    • 63149099143 scopus 로고    scopus 로고
    • Unsupervised pixel classification in satellite imagery using multiobjective fuzzy clustering combined with SVM classifier
    • Apr.
    • A. Mukhopadhyay and U. Maulik, "Unsupervised pixel classification in satellite imagery using multiobjective fuzzy clustering combined with SVM classifier, " IEEE Trans. Geosci. Remote Sens., vol. 47, no. 4, pp. 1132-1138, Apr. 2009.
    • (2009) IEEE Trans. Geosci. Remote Sens. , vol.47 , Issue.4 , pp. 1132-1138
    • Mukhopadhyay, A.1    Maulik, U.2
  • 142
    • 45849126857 scopus 로고    scopus 로고
    • A novel approach to unsupervised change detection based on semisupervised SVM and similarity measure
    • June
    • F. Bovolo, L. Bruzzone, and M. Marconcini, "A novel approach to unsupervised change detection based on semisupervised SVM and similarity measure, " IEEE Trans. Geosci. Remote Sens., vol. 46, no. 7, pp. 2070-2082, June 2008.
    • (2008) IEEE Trans. Geosci. Remote Sens. , vol.46 , Issue.7 , pp. 2070-2082
    • Bovolo, F.1    Bruzzone, L.2    Marconcini, M.3
  • 143
    • 67649779171 scopus 로고    scopus 로고
    • Cluster-based ensemble classification for hyperspectral remote sensing images
    • Dec.
    • M. Chi, Q. Qian, and J. A. Benediktsson, "Cluster-based ensemble classification for hyperspectral remote sensing images, " IEEE Geosci. Remote Sens. Symp., vol. 1, pp. 209-212, Dec. 2007.
    • (2007) IEEE Geosci. Remote Sens. Symp. , vol.1 , pp. 209-212
    • Chi, M.1    Qian, Q.2    Benediktsson, J.A.3
  • 146
    • 70350294122 scopus 로고    scopus 로고
    • Ensemble classification algorithm for hyperspectral remote sensing data
    • Oct.
    • M. Chi, Q. Kun, and J. A. Benedictsson, "Ensemble classification algorithm for hyperspectral remote sensing data, " IEEE Geosci. Remote Sens. Lett., vol. 6, no. 4, pp. 762-766, Oct. 2009.
    • (2009) IEEE Geosci. Remote Sens. Lett. , vol.6 , Issue.4 , pp. 762-766
    • Chi, M.1    Kun, Q.2    Benedictsson, J.A.3
  • 147
    • 78649321657 scopus 로고    scopus 로고
    • A self-trained ensemble with semisupervised SVM: An application to pixel classification of remote sensing imagery
    • Feb.
    • U. Maulik and D. Chakraborty, "A self-trained ensemble with semisupervised SVM: An application to pixel classification of remote sensing imagery, " Pattern Recognition, vol. 44, no. 3, pp. 615-623, Feb. 2011.
    • (2011) Pattern Recognition , vol.44 , Issue.3 , pp. 615-623
    • Maulik, U.1    Chakraborty, D.2
  • 148
    • 84880362774 scopus 로고    scopus 로고
    • A self-trained semisupervised SVM approach to the remote sensing land cover classification
    • Aug.
    • Y. Liu, B. Zhang, L. Wang, and N. Wang, "A self-trained semisupervised SVM approach to the remote sensing land cover classification, " Computers Geosciences, vol. 59, pp. 98-107, Aug. 2013.
    • (2013) Computers Geosciences , vol.59 , pp. 98-107
    • Liu, Y.1    Zhang, B.2    Wang, L.3    Wang, N.4
  • 149
    • 77952585968 scopus 로고    scopus 로고
    • A fuzzy-statistics-based affinity propagation technique for clustering in multispectral images
    • June
    • C. Yang, L. Bruzzone, F. Sun, L. Lu, R. Guan, and Y. Liang, "A fuzzy-statistics-based affinity propagation technique for clustering in multispectral images, " IEEE Trans. Geosci. Remote Sens., vol. 48, no. 6, pp. 2647-2659, June 2010.
    • (2010) IEEE Trans. Geosci. Remote Sens. , vol.48 , Issue.6 , pp. 2647-2659
    • Yang, C.1    Bruzzone, L.2    Sun, F.3    Lu, L.4    Guan, R.5    Liang, Y.6
  • 150
    • 80053340804 scopus 로고    scopus 로고
    • Fuzzy-topology-integrated support vector machine for remotely sensed image classification
    • Feb.
    • H. Zhang, W. Shi, and K. Liu, "Fuzzy-topology-integrated support vector machine for remotely sensed image classification, " IEEE Trans. Geosci. Remote Sens., vol. 50, no. 3, pp. 850-862, Feb. 2012.
    • (2012) IEEE Trans. Geosci. Remote Sens. , vol.50 , Issue.3 , pp. 850-862
    • Zhang, H.1    Shi, W.2    Liu, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.