메뉴 건너뛰기




Volumn 46, Issue 5, 2008, Pages 1457-1466

Classifying multilevel imagery from SAR and optical sensors by decision fusion

Author keywords

Data fusion; Multilevel classification; Multisensor data; Random forests (RF); Support vector machines (SVM); Synthetic aperture radar (SAR)

Indexed keywords

AGGLOMERATION; FUSION REACTIONS; IMAGE SEGMENTATION; IMAGING SYSTEMS; OPTICAL SENSORS; RADAR; SENSOR DATA FUSION; SENSOR NETWORKS; SENSORS; SYNTHETIC APERTURE RADAR; SYNTHETIC APERTURES; TARGET DRONES; VECTORS;

EID: 45849101525     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2008.916089     Document Type: Article
Times cited : (185)

References (49)
  • 1
    • 14644399190 scopus 로고    scopus 로고
    • Analysis of remotely sensed data: The formative decades and the future
    • Mar
    • J. A. Richards, "Analysis of remotely sensed data: The formative decades and the future," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 3, pp. 422-432, Mar. 2005.
    • (2005) IEEE Trans. Geosci. Remote Sens , vol.43 , Issue.3 , pp. 422-432
    • Richards, J.A.1
  • 3
    • 34249804195 scopus 로고    scopus 로고
    • Multisource data fusion for landslide classification using generalized positive Boolean functions
    • Jun
    • Y.-L. Chang, L.-S. Liang, C.-C. Han, J.-P. Fang, W.-Y. Liang, and K.-S. Chen, "Multisource data fusion for landslide classification using generalized positive Boolean functions," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 6, pp. 1697-1708, Jun. 2007.
    • (2007) IEEE Trans. Geosci. Remote Sens , vol.45 , Issue.6 , pp. 1697-1708
    • Chang, Y.-L.1    Liang, L.-S.2    Han, C.-C.3    Fang, J.-P.4    Liang, W.-Y.5    Chen, K.-S.6
  • 4
    • 33845611024 scopus 로고    scopus 로고
    • Estimation of the number of decomposition levels for a wavelet-based multiresolution multisensor image fusion
    • Dec
    • P. S. Pradhan, R. L. King, N. H. Younan, and D. W. Holcomb, "Estimation of the number of decomposition levels for a wavelet-based multiresolution multisensor image fusion," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 12, pp. 3674-3686, Dec. 2006.
    • (2006) IEEE Trans. Geosci. Remote Sens , vol.44 , Issue.12 , pp. 3674-3686
    • Pradhan, P.S.1    King, R.L.2    Younan, N.H.3    Holcomb, D.W.4
  • 5
    • 34247510752 scopus 로고    scopus 로고
    • Data fusion for reconstruction of a DTM, under a woodland canopy, from airborne L-band InSAR
    • May
    • C. S. Rowland and H. Balzter, "Data fusion for reconstruction of a DTM, under a woodland canopy, from airborne L-band InSAR," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 5, pp. 1154-1163, May 2007.
    • (2007) IEEE Trans. Geosci. Remote Sens , vol.45 , Issue.5 , pp. 1154-1163
    • Rowland, C.S.1    Balzter, H.2
  • 6
    • 0032681212 scopus 로고    scopus 로고
    • Fuzzy fusion techniques for linear features detection in multitemporal SAR images
    • May
    • J. Chanussot, G. Mauris, and P. Lambert, "Fuzzy fusion techniques for linear features detection in multitemporal SAR images," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 3, pp. 1292-1305, May 1999.
    • (1999) IEEE Trans. Geosci. Remote Sens , vol.37 , Issue.3 , pp. 1292-1305
    • Chanussot, J.1    Mauris, G.2    Lambert, P.3
  • 7
    • 0028983453 scopus 로고
    • Multidate SAR/TM synergism, for crop classification in western Canada
    • B. Brisco and R. J. Brown, "Multidate SAR/TM synergism, for crop classification in western Canada," Photogramm. Eng. Remote Sens., vol. 61, no. 8, pp. 1009-1014, 1995.
    • (1995) Photogramm. Eng. Remote Sens , vol.61 , Issue.8 , pp. 1009-1014
    • Brisco, B.1    Brown, R.J.2
  • 8
    • 3843123477 scopus 로고    scopus 로고
    • Land cover discrimination potential of radar multitemporal series and optical multispectral images in a Mediterranean cultural landscape
    • Sep
    • G. Chust, D. Ducrot, and J. L. Pretus, "Land cover discrimination potential of radar multitemporal series and optical multispectral images in a Mediterranean cultural landscape," Int. J. Remote Sens., vol. 25, no. 17, pp. 3513-3528, Sep. 2004.
    • (2004) Int. J. Remote Sens , vol.25 , Issue.17 , pp. 3513-3528
    • Chust, G.1    Ducrot, D.2    Pretus, J.L.3
  • 9
    • 33845980234 scopus 로고    scopus 로고
    • Land-cover classification using Radarsat and Landsat imagery for St. Louis, Missouri
    • Jan
    • H. Huang, J. Legarsky, and M. Othman, "Land-cover classification using Radarsat and Landsat imagery for St. Louis, Missouri," Photogramm. Eng. Remote Sens., vol. 73, no. 1, pp. 37-43, Jan. 2007.
    • (2007) Photogramm. Eng. Remote Sens , vol.73 , Issue.1 , pp. 37-43
    • Huang, H.1    Legarsky, J.2    Othman, M.3
  • 10
    • 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
  • 11
    • 0033987880 scopus 로고    scopus 로고
    • Comparison of algorithms for classifying Swedish landcover using Landsat TM and ERS-1 SAR data
    • Jan
    • D. B. Michelson, B. M. Liljeberg, and P. Pilesjö, "Comparison of algorithms for classifying Swedish landcover using Landsat TM and ERS-1 SAR data," Remote Sens. Environ., vol. 71, no. 1, pp. 1-15, Jan. 2000.
    • (2000) Remote Sens. Environ , vol.71 , Issue.1 , pp. 1-15
    • Michelson, D.B.1    Liljeberg, B.M.2    Pilesjö, P.3
  • 12
    • 36349007145 scopus 로고    scopus 로고
    • Fusion of support vector machines for classification of multisensor data
    • Dec
    • B. Waske and J. A. Benediktsson, "Fusion of support vector machines for classification of multisensor data," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 12, pp. 3858-3866, Dec. 2007.
    • (2007) IEEE Trans. Geosci. Remote Sens , vol.45 , Issue.12 , pp. 3858-3866
    • Waske, B.1    Benediktsson, J.A.2
  • 13
    • 0025453627 scopus 로고
    • Neural network approaches versus statistical methods in classification of multisource remote sensing data
    • Jul
    • J. A. Benediktsson, P. H. Swain, and O. K. Ersoy, "Neural network approaches versus statistical methods in classification of multisource remote sensing data," IEEE Trans. Geosci. Remote Sens., vol. 28, no. 4, pp. 540-552, Jul. 1990.
    • (1990) IEEE Trans. Geosci. Remote Sens , vol.28 , Issue.4 , pp. 540-552
    • Benediktsson, J.A.1    Swain, P.H.2    Ersoy, O.K.3
  • 14
    • 34249822423 scopus 로고    scopus 로고
    • Decision fusion for the classification of urban remote sensing images
    • Oct
    • M. Fauvel, J. Chanussot, and J. A. Benediktsson, "Decision fusion for the classification of urban remote sensing images," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 10, pp. 2828-2838, Oct. 2006.
    • (2006) IEEE Trans. Geosci. Remote Sens , vol.44 , Issue.10 , pp. 2828-2838
    • Fauvel, M.1    Chanussot, J.2    Benediktsson, J.A.3
  • 15
    • 0037138473 scopus 로고    scopus 로고
    • An assessment of support vector machines for land cover classification
    • Feb
    • C. Huang, L. S. Davis, and J. R. Townshend, "An assessment of support vector machines for land cover classification," Int. J. Remote Sens., vol. 23, no. 4, pp. 725-749, Feb. 2002.
    • (2002) Int. J. Remote Sens , vol.23 , Issue.4 , pp. 725-749
    • Huang, C.1    Davis, L.S.2    Townshend, J.R.3
  • 16
    • 3042654673 scopus 로고    scopus 로고
    • A relative evaluation of multiclass image classification by support vector machines
    • Jun
    • G. M. Foody and A. Mathur, "A relative evaluation of multiclass image classification by support vector machines," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 6, pp. 1335-1343, Jun. 2004.
    • (2004) IEEE Trans. Geosci. Remote Sens , vol.42 , Issue.6 , pp. 1335-1343
    • Foody, G.M.1    Mathur, A.2
  • 17
    • 4344614511 scopus 로고    scopus 로고
    • Classification of hyperspectral remote sensing images with support vector machines
    • Aug
    • F. Melgani and L. Bruzzone, "Classification of hyperspectral remote sensing images with support vector machines," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 8, pp. 1778-1790, Aug. 2004.
    • (2004) IEEE Trans. Geosci. Remote Sens , vol.42 , Issue.8 , pp. 1778-1790
    • Melgani, F.1    Bruzzone, L.2
  • 18
    • 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
  • 19
    • 34249810956 scopus 로고    scopus 로고
    • Semisupervised classification of hyperspectral images by SVM optimized in the primal
    • Jun
    • M. Chi and L. Bruzzone, "Semisupervised classification of hyperspectral images by SVM optimized in the primal," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 6, pp. 1870-1880, Jun. 2007.
    • (2007) IEEE Trans. Geosci. Remote Sens , vol.45 , Issue.6 , pp. 1870-1880
    • Chi, M.1    Bruzzone, L.2
  • 20
    • 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. 1, pp. 3374-3385, Nov. 2006.
    • (2006) IEEE Trans. Geosci. Remote Sens , vol.44 , Issue.1 , pp. 3374-3385
    • Bazi, Y.1    Melgani, F.2
  • 22
    • 16444382390 scopus 로고    scopus 로고
    • Automatic CRP mapping using nonparametric machine learning approaches
    • Apr
    • X. Song, F. Fan, and M. Rao, "Automatic CRP mapping using nonparametric machine learning approaches," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 4, pp. 888-897, Apr. 2005.
    • (2005) IEEE Trans. Geosci. Remote Sens , vol.43 , Issue.4 , pp. 888-897
    • Song, X.1    Fan, F.2    Rao, M.3
  • 23
    • 0036821351 scopus 로고    scopus 로고
    • Multiple classifiers applied to multisource remote sensing data
    • Oct
    • G. J. Briem, J. A. Benediktsson, and J. R. Sveinsson, "Multiple classifiers applied to multisource remote sensing data," IEEE Trans. Geosci. Remote Sens., vol. 40, no. 10, pp. 2291-2299, Oct. 2002.
    • (2002) IEEE Trans. Geosci. Remote Sens , vol.40 , Issue.10 , pp. 2291-2299
    • Briem, G.J.1    Benediktsson, J.A.2    Sveinsson, J.R.3
  • 24
    • 14644421528 scopus 로고    scopus 로고
    • Investigation of the random forest framework for classification of hyperspectral data
    • Mar
    • J. Ham, Y. Chen, and M. M. Crawford, "Investigation of the random forest framework for classification of hyperspectral data," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 3, pp. 492-501, Mar. 2005.
    • (2005) IEEE Trans. Geosci. Remote Sens , vol.43 , Issue.3 , pp. 492-501
    • Ham, J.1    Chen, Y.2    Crawford, M.M.3
  • 25
    • 34948881164 scopus 로고    scopus 로고
    • Random feature selection for decision tree classification of multi-temporal SAR data
    • Denver, CO
    • B. Waske, S. Schiefer, and M. Braun, "Random feature selection for decision tree classification of multi-temporal SAR data," in Proc. IGARSS, Denver, CO, 2006, pp. 168-171.
    • (2006) Proc. IGARSS , pp. 168-171
    • Waske, B.1    Schiefer, S.2    Braun, M.3
  • 27
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Oct
    • L. Breiman, "Random forests," Mach. Learn., vol. 45, no. 1, pp. 5-32, Oct. 2001.
    • (2001) Mach. Learn , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 28
    • 0032849318 scopus 로고    scopus 로고
    • Crop discrimination using multi-temporal SAR imagery
    • Aug
    • B. Tso and R. M. Mather, "Crop discrimination using multi-temporal SAR imagery," Int. J. Remote Sens., vol. 20, no. 12, pp. 2443-2460, Aug. 1999.
    • (1999) Int. J. Remote Sens , vol.20 , Issue.12 , pp. 2443-2460
    • Tso, B.1    Mather, R.M.2
  • 29
    • 0242292075 scopus 로고    scopus 로고
    • A combined fuzzy pixel-based and object-based approach for classification of high-resolution multispectral data over urban areas
    • Oct
    • A. K. Shackelford and C. H. Davis, "A combined fuzzy pixel-based and object-based approach for classification of high-resolution multispectral data over urban areas," IEEE Trans. Geosci. Remote Sens., vol. 41, no. 10, pp. 2354-2363, Oct. 2003.
    • (2003) IEEE Trans. Geosci. Remote Sens , vol.41 , Issue.10 , pp. 2354-2363
    • Shackelford, A.K.1    Davis, C.H.2
  • 30
    • 33745081013 scopus 로고    scopus 로고
    • A competitive pixel-object approach for land cover classification
    • Nov
    • M. Song, D. L. Civco, and J. D. Hurd, "A competitive pixel-object approach for land cover classification," Int. J. Remote Sens., vol. 26, no. 22, pp. 4982-4997, Nov. 2005.
    • (2005) Int. J. Remote Sens , vol.26 , Issue.22 , pp. 4982-4997
    • Song, M.1    Civco, D.L.2    Hurd, J.D.3
  • 31
    • 33748331356 scopus 로고    scopus 로고
    • A multilevel context-based system for classification of very high spatial resolution images
    • Sep
    • L. Bruzzone and L. Carlin, "A multilevel context-based system for classification of very high spatial resolution images," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 9, pp. 2587-2600, Sep. 2006.
    • (2006) IEEE Trans. Geosci. Remote Sens , vol.44 , Issue.9 , pp. 2587-2600
    • Bruzzone, L.1    Carlin, L.2
  • 32
    • 0030085913 scopus 로고    scopus 로고
    • Analysis of decision boundaries in linearly combined neural classifiers
    • Feb
    • K. Turmer and J. Gosh, "Analysis of decision boundaries in linearly combined neural classifiers," Pattern Recognit., vol. 29, no. 2, pp. 341-348, Feb. 1996.
    • (1996) Pattern Recognit , vol.29 , Issue.2 , pp. 341-348
    • Turmer, K.1    Gosh, J.2
  • 33
    • 22444454265 scopus 로고    scopus 로고
    • Combining classifiers: A theoretical framework
    • Mar
    • J. Kittler, "Combining classifiers: A theoretical framework," Pattern Anal. Appl., vol. 1, no. 1, pp. 18-27, Mar. 1998.
    • (1998) Pattern Anal. Appl , vol.1 , Issue.1 , pp. 18-27
    • Kittler, J.1
  • 34
    • 0141569007 scopus 로고    scopus 로고
    • An assessment of the effectiveness of decision tree methods for land cover classification
    • Aug
    • M. Pal and P. M. Mather, "An assessment of the effectiveness of decision tree methods for land cover classification," Remote Sens. Environ., vol. 86, no. 4, pp. 554-565, Aug. 2003.
    • (2003) Remote Sens. Environ , vol.86 , Issue.4 , pp. 554-565
    • Pal, M.1    Mather, P.M.2
  • 36
    • 30444439845 scopus 로고    scopus 로고
    • Effect of alternative splitting rules on image processing using classification tree analysis,'' Photogramm
    • M. Zambon, R. Lawrence, A. Bunn, and S. Powell, "Effect of alternative splitting rules on image processing using classification tree analysis,'' Photogramm. Eng. Remote Sens., vol. 72, no. 1, pp. 25-30, 2006.
    • (2006) Eng. Remote Sens , vol.72 , Issue.1 , pp. 25-30
    • Zambon, M.1    Lawrence, R.2    Bunn, A.3    Powell, S.4
  • 37
    • 33947659964 scopus 로고    scopus 로고
    • M. Fauvel, J. Chanussot, and J. A. Benediktsson, Evaluation of kernels for multiclass classification of hyperspectral remote sensing data, in Proc. IEEE ICASSP, Toulouse, France, 2006, pp. II-813-II-816.
    • M. Fauvel, J. Chanussot, and J. A. Benediktsson, "Evaluation of kernels for multiclass classification of hyperspectral remote sensing data," in Proc. IEEE ICASSP, Toulouse, France, 2006, pp. II-813-II-816.
  • 38
    • 33747086525 scopus 로고    scopus 로고
    • Some issues in the classification of DAIS hyperspectral data,'' Int
    • Jul
    • M. Pal and P. M. Mather, "Some issues in the classification of DAIS hyperspectral data,'' Int. J. Remote Sens., vol. 27, no. 14, pp. 2895-2916, Jul. 2006.
    • (2006) J. Remote Sens , vol.27 , Issue.14 , pp. 2895-2916
    • Pal, M.1    Mather, P.M.2
  • 39
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition,'' Data Mining Knowl
    • Jun
    • C. J. C. Burges, "A tutorial on support vector machines for pattern recognition,'' Data Mining Knowl. Discovery, vol. 2, no. 2, pp. 121-167, Jun. 1998.
    • (1998) Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.J.C.1
  • 41
    • 0036161011 scopus 로고    scopus 로고
    • Choosing multiple parameters for support vector machines
    • Jan
    • O. Chapelle, V. Vapnik, O. Bousquet, and S. Mukherjee, "Choosing multiple parameters for support vector machines," Mach. Learn., vol. 46, no. 1-3, pp. 131-159, Jan. 2001.
    • (2001) Mach. Learn , vol.46 , Issue.1-3 , pp. 131-159
    • Chapelle, O.1    Vapnik, V.2    Bousquet, O.3    Mukherjee, S.4
  • 42
    • 0141430928 scopus 로고    scopus 로고
    • Radius margin bounds for support vector machines with the RBF kernel
    • Nov
    • K.-M. Chung, W.-C. Kao, C.-L. Sun, L.-L. Wang, and C.-J. Lin, "Radius margin bounds for support vector machines with the RBF kernel," Neural Comput., vol. 15, no. 11, pp. 2643-2681, Nov. 2003.
    • (2003) Neural Comput , vol.15 , Issue.11 , pp. 2643-2681
    • Chung, K.-M.1    Kao, W.-C.2    Sun, C.-L.3    Wang, L.-L.4    Lin, C.-J.5
  • 43
    • 0036505670 scopus 로고    scopus 로고
    • A comparison of methods for multiclass support vector machines
    • Mar
    • C.-W. Hsu and C.-J. Lin, "A comparison of methods for multiclass support vector machines," IEEE Trans. Neural Netw., vol. 13, no. 2, pp. 415-425, Mar. 2002.
    • (2002) IEEE Trans. Neural Netw , vol.13 , Issue.2 , pp. 415-425
    • Hsu, C.-W.1    Lin, C.-J.2
  • 44
    • 0035503160 scopus 로고    scopus 로고
    • Support vector machines and the multiple hypothesis test problem
    • Nov
    • D.J. Sebald and J. A. Bucklew, "Support vector machines and the multiple hypothesis test problem," IEEE Trans. Signal Process., vol. 49, no. 11, pp. 2865-2872, Nov. 2001.
    • (2001) IEEE Trans. Signal Process , vol.49 , Issue.11 , pp. 2865-2872
    • Sebald, D.J.1    Bucklew, J.A.2
  • 45
    • 0036564129 scopus 로고    scopus 로고
    • Segmenting multispectral landsat TM images into field units
    • May
    • C. Evans, R. Jones, I. Svalbe, and M. Berman, "Segmenting multispectral landsat TM images into field units," IEEE Trans. Geosci. Remote Sens., vol. 40, no. 5, pp. 1054-1064, May 2002.
    • (2002) IEEE Trans. Geosci. Remote Sens , vol.40 , Issue.5 , pp. 1054-1064
    • Evans, C.1    Jones, R.2    Svalbe, I.3    Berman, M.4
  • 46
    • 0001812168 scopus 로고    scopus 로고
    • Multiresolution segmentation - An optimization approach for high quality multi-scale segmentation
    • J. Strobel et al, Ed. Karlsruhe, Germany: Wichmann
    • M. Baatz and A. Schäpe, "Multiresolution segmentation - An optimization approach for high quality multi-scale segmentation," in Angewandte Geogr. Informationsverarbeitung, J. Strobel et al., Ed. Karlsruhe, Germany: Wichmann, 2000, pp. 12-23.
    • (2000) Angewandte Geogr. Informationsverarbeitung , pp. 12-23
    • Baatz, M.1    Schäpe, A.2
  • 47
    • 0037822222 scopus 로고    scopus 로고
    • Asymptotic behaviors of support vector machines with Gaussian kernel
    • Jul
    • S. S. Keehrti and C.-J. Lin, "Asymptotic behaviors of support vector machines with Gaussian kernel," Neural Comput., vol. 15, no. 7, pp. 1667-1689, Jul. 2003.
    • (2003) Neural Comput , vol.15 , Issue.7 , pp. 1667-1689
    • Keehrti, S.S.1    Lin, C.-J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.