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Volumn 52, Issue 5, 2014, Pages 2492-2507

Active learning in the spatial domain for remote sensing image classification

Author keywords

Active learning (AL); batch mode; class imbalance; ground truth uncertainty; image classification; landslide inventory mapping; spatial information

Indexed keywords

ALGORITHMS; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; LANDSLIDES; REMOTE SENSING;

EID: 84898598578     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2013.2262052     Document Type: Article
Times cited : (96)

References (65)
  • 3
    • 20444432773 scopus 로고    scopus 로고
    • Kernel-based methods for hyperspectral image classification
    • DOI 10.1109/TGRS.2005.846154
    • G. Camps-Valls and L. Bruzzone, "Kernel-based methods for hyperspectral image classification," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 6, pp. 1351-1362, Jun. 2005. (Pubitemid 40811944)
    • (2005) IEEE Transactions on Geoscience and Remote Sensing , vol.43 , Issue.6 , pp. 1351-1362
    • Camps-Valls, G.1    Bruzzone, L.2
  • 4
    • 12844286965 scopus 로고    scopus 로고
    • Robust multiple estimator systems for the analysis of biophysical parameters from remotely sensed data
    • Jan.
    • L. Bruzzone and F. Melgani, "Robust multiple estimator systems for the analysis of biophysical parameters from remotely sensed data," IEEE Trans. Geosci. Remote Sens., vol. 43, pp. 159-174, Jan. 2005.
    • (2005) IEEE Trans. Geosci. Remote Sens. , vol.43 , pp. 159-174
    • Bruzzone, L.1    Melgani, F.2
  • 5
    • 33746606930 scopus 로고    scopus 로고
    • Robust support vector regression for biophysical variable estimation from remotely sensed images
    • DOI 10.1109/LGRS.2006.871748, 1658001
    • G. Camps-Valls, L. Bruzzone, J. L. Rojo-Alvarez, and F. Melgani, "Robust support vector regression for biophysical variable estimation from remotely sensed images," IEEE Geosci. Remote Sens. Lett., vol. 3, no. 3, pp. 339-343, Jul. 2006. (Pubitemid 44150320)
    • (2006) IEEE Geoscience and Remote Sensing Letters , vol.3 , Issue.3 , pp. 339-343
    • Camps-Valls, G.1    Bruzzone, L.2    Rojo-Alvarez, J.L.3    Melgani, F.4
  • 7
    • 33746885881 scopus 로고    scopus 로고
    • A support vector method for anomaly detection in hyperspectral imagery
    • DOI 10.1109/TGRS.2006.873019, 1661816
    • 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. (Pubitemid 44192167)
    • (2006) IEEE Transactions on Geoscience and Remote Sensing , vol.44 , Issue.8 , pp. 2282-2291
    • Banerjee, A.1    Burlina, P.2    Diehl, C.3
  • 8
    • 57049102289 scopus 로고    scopus 로고
    • Benchmarking classifiers to optimally integrate terrain analysis and multispectral remote sensing in automatic rock glacier detection
    • Jan.
    • A. Brenning, "Benchmarking classifiers to optimally integrate terrain analysis and multispectral remote sensing in automatic rock glacier detection," Remote Sens. Environ., vol. 113, no. 1, pp. 239-247, Jan. 2009.
    • (2009) Remote Sens. Environ. , vol.113 , Issue.1 , pp. 239-247
    • Brenning, A.1
  • 9
    • 79960743609 scopus 로고    scopus 로고
    • Object-oriented mapping of landslides using Random Forests
    • Oct.
    • A. Stumpf and N. Kerle, "Object-oriented mapping of landslides using Random Forests," Remote Sens. Environ., vol. 115, no. 10, pp. 2564-2577, Oct. 2011.
    • (2011) Remote Sens. Environ. , vol.115 , Issue.10 , pp. 2564-2577
    • Stumpf, A.1    Kerle, N.2
  • 10
    • 84898598691 scopus 로고    scopus 로고
    • Active Learning
    • C. Sammut and G. Webb, Eds. New York, NY, USA: Springer-Verlag
    • D. Cohn, "Active Learning," in Encyclopedia of Machine Learning, C. Sammut and G. Webb, Eds. New York, NY, USA: Springer-Verlag, 2011, pp. 10-14.
    • (2011) Encyclopedia of Machine Learning , pp. 10-14
    • Cohn, D.1
  • 11
    • 68949137209 scopus 로고    scopus 로고
    • Univ. Wisconsin-Madison,Wisconsin,MI, USA, Computer SciencesTech.Rep.
    • B. Settles, "Active Learning Literature Survey," Univ. Wisconsin-Madison,Wisconsin,MI, USA, Computer SciencesTech.Rep. 1648, 2010.
    • (2010) Active Learning Literature Survey , pp. 1648
    • Settles, B.1
  • 15
    • 79957456032 scopus 로고    scopus 로고
    • A survey of active learning algorithms for supervised remote sensing image classification
    • Jun.
    • 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. Select. Topics Signal Process., vol. 5, no. 3, pp. 606-616, Jun. 2011.
    • (2011) IEEE J. Select. Topics Signal Process. , vol.5 , Issue.3 , pp. 606-616
    • Tuia, D.1    Volpi, M.2    Copa, L.3    Kanevski, M.4    Munoz-Mari, J.5
  • 16
    • 41549147912 scopus 로고    scopus 로고
    • An active learning approach to hyperspectral data classification
    • DOI 10.1109/TGRS.2007.910220, 4469868
    • S. Rajan, J. Ghosh, and M. M. Crawford, "An active learning approach to hyperspectral data classification," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 4, pp. 1231-1242, Apr. 2008. (Pubitemid 351459470)
    • (2008) IEEE Transactions on Geoscience and Remote Sensing , vol.46 , Issue.4 , pp. 1231-1242
    • Rajan, S.1    Ghosh, J.2    Crawford, M.M.3
  • 18
    • 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
  • 19
    • 84864278874 scopus 로고    scopus 로고
    • Memory-based cluster sampling for remote sensing image classification
    • Aug.
    • M. Volpi, D. Tuia, andM. Kanevski, "Memory-based cluster sampling for remote sensing image classification," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 8, pp. 3096-3106, Aug. 2012.
    • (2012) IEEE Trans. Geosci. Remote Sens. , vol.50 , Issue.8 , pp. 3096-3106
    • Volpi, M.1    Tuia, D.2    Kanevski, M.3
  • 20
    • 84873124152 scopus 로고    scopus 로고
    • From theories to queries
    • Sardinia, Italy
    • B. Settles, "From theories to queries," in Proc. JMLR: Workshop Conf., Sardinia, Italy, 2011, pp. 1-8.
    • (2011) Proc. JMLR: Workshop Conf. , pp. 1-8
    • Settles, B.1
  • 23
    • 80955125287 scopus 로고    scopus 로고
    • Improving active learning methods using spatial information
    • E. Pasolli, F. Melgani, D. Tuia, F. Pacifici, and W. J. Emery, "Improving active learning methods using spatial information," in IEEE IGARSS, 2011, pp. 3923-3926.
    • (2011) IEEE IGARSS , pp. 3923-3926
    • Pasolli, E.1    Melgani, F.2    Tuia, D.3    Pacifici, F.4    Emery, W.J.5
  • 27
    • 84898426416 scopus 로고    scopus 로고
    • Active learning using Dirichlet processes for rare class discovery and classification
    • Dundee, U.K.
    • T. S. F. Haines and T. Xiang, "Active learning using Dirichlet processes for rare class discovery and classification," in British Machine Vision Conf. Univ. Dundee, Dundee, U.K., 2011.
    • (2011) British Machine Vision Conf. Univ. Dundee
    • Haines, T.S.F.1    Xiang, T.2
  • 28
    • 78650906363 scopus 로고    scopus 로고
    • Lazy yet efficient land-cover map generation for HR optical images
    • J. Michel, J. Malik, and J. Inglada, "Lazy yet efficient land-cover map generation for HR optical images," in Proc. IEEE IGARSS, 2010, pp. 1863-1866.
    • (2010) Proc. IEEE IGARSS , pp. 1863-1866
    • Michel, J.1    Malik, J.2    Inglada, J.3
  • 30
    • 84867060971 scopus 로고    scopus 로고
    • Semisupervised classification of remote sensing images with active queries
    • Oct.
    • J. Muñoz-Mar?á, D. Tuia, and G. Camps-Valls, "Semisupervised classification of remote sensing images with active queries," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 10, pp. 3751-3763, Oct. 2012.
    • (2012) IEEE Trans. Geosci. Remote Sens. , vol.50 , Issue.10 , pp. 3751-3763
    • Muñoz-Mará, J.1    Tuia, D.2    Camps-Valls, G.3
  • 31
    • 84857046663 scopus 로고    scopus 로고
    • Remote sensing image segmentation by active queries
    • Jun.
    • D. Tuia, J. Muñoz-Marí, and G. Camps-Valls, "Remote sensing image segmentation by active queries," Pattern Recognit., vol. 45, no. 6, pp. 2180-2192, Jun. 2012.
    • (2012) Pattern Recognit. , vol.45 , Issue.6 , pp. 2180-2192
    • Tuia, D.1    Muñoz-Marí, J.2    Camps-Valls, G.3
  • 32
    • 84873177815 scopus 로고    scopus 로고
    • A cost-sensitive active learning technique for the definition of effective training sets for supervised classifiers
    • B. Demir, L. Minello, and L. Bruzzone, "A cost-sensitive active learning technique for the definition of effective training sets for supervised classifiers," in Proc. IEEE IGARSS, 2012, pp. 1781-1784.
    • (2012) Proc. IEEE IGARSS , pp. 1781-1784
    • Demir, B.1    Minello, L.2    Bruzzone, L.3
  • 33
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • DOI 10.1023/A:1010933404324
    • L. Breiman, "Random forests," Mach. Learn., vol. 45, no. 1, pp. 5-32, Oct. 2001. (Pubitemid 32933532)
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 35
    • 35248825961 scopus 로고    scopus 로고
    • Representative sampling for text classification using support vector machines
    • Pisa, Italy
    • Z. Xu, K. Yu, V. Tresp, X. Xu, and J. Wang, "Representative sampling for text classification using support vector machines," in Proc. 25th Eur. Conf. Inf. Retrieval Res., Pisa, Italy, 2003, pp. 393-407.
    • (2003) Proc. 25th Eur. Conf. Inf. Retrieval Res. , pp. 393-407
    • Xu, Z.1    Yu, K.2    Tresp, V.3    Xu, X.4    Wang, J.5
  • 36
    • 46749133557 scopus 로고    scopus 로고
    • KNN-based high-dimensional Kullback-Leibler distance for tracking
    • S. Boltz, E. Debreuve, and M. Barlaud, "kNN-based high-dimensional Kullback-Leibler distance for tracking," in Proc. 8th Int. WIAMIS, 2007, p. 16.
    • (2007) In Proc. 8th Int. WIAMIS , pp. 16
    • Boltz, S.1    Debreuve, E.2    Barlaud, M.3
  • 37
    • 84898600403 scopus 로고    scopus 로고
    • FNN: Fast nearest neighbor search algorithms and applications 2012
    • R package version 0.6-3
    • R package version 0.6-3 S. Li, FNN: Fast nearest neighbor search algorithms and applications 2012, R package version 0.6-3.
    • R Package Version 0.6-3
    • Li, S.1
  • 38
    • 33847096395 scopus 로고    scopus 로고
    • Bias in random forest variable importance measures: Illustrations, sources and a solution
    • Jan.
    • C. Strobl, A.-L. Boulesteix, A. Zeileis, and T. Hothorn, "Bias in random forest variable importance measures: Illustrations, sources and a solution," BMC Bioinformat., vol. 8, p. 25, Jan. 2007.
    • (2007) BMC Bioinformat. , vol.8 , pp. 25
    • Strobl, C.1    Boulesteix, A.-L.2    Zeileis, A.3    Hothorn, T.4
  • 39
    • 77949388276 scopus 로고    scopus 로고
    • The behaviour of random forest permutation-based variable importance measures under predictor correlation
    • Feb.
    • K. Nicodemus, J. Malley, C. Strobl, and A. Ziegler, "The behaviour of random forest permutation-based variable importance measures under predictor correlation," BMC Bioinformat., vol. 11, p. 110, Feb. 2010.
    • (2010) BMC Bioinformat. , vol.11 , pp. 110
    • Nicodemus, K.1    Malley, J.2    Strobl, C.3    Ziegler, A.4
  • 40
    • 77958064179 scopus 로고    scopus 로고
    • Mining data with random forests: A survey and results of new tests
    • Feb.
    • A. Verikas, A. Gelzinis, and M. Bacauskiene, "Mining data with random forests: A survey and results of new tests," Pattern Recognit., vol. 44, no. 2, pp. 330-349, Feb. 2011.
    • (2011) Pattern Recognit. , vol.44 , Issue.2 , pp. 330-349
    • Verikas, A.1    Gelzinis, A.2    Bacauskiene, M.3
  • 41
    • 82255174148 scopus 로고    scopus 로고
    • Letter to the Editor: On the stability and ranking of predictors from random forest variable importance measures
    • Jul. 1
    • K. K. Nicodemus, "Letter to the Editor: On the stability and ranking of predictors from random forest variable importance measures," Briefings Bioinformat., vol. 12, no. 4, pp. 369-373, Jul. 1, 2011.
    • (2011) Briefings Bioinformat. , vol.12 , Issue.4 , pp. 369-373
    • Nicodemus, K.K.1
  • 43
    • 77956741729 scopus 로고    scopus 로고
    • An R package for spatial coverage sampling and random sampling from compact geographical strata by k-means
    • Oct.
    • D. J. J. Walvoort, D. J. Brus, and J. J. de Gruijter, "An R package for spatial coverage sampling and random sampling from compact geographical strata by k-means," Comput. Geosci., vol. 36, no. 10, pp. 1261-1267, Oct. 2010.
    • (2010) Comput. Geosci. , vol.36 , Issue.10 , pp. 1261-1267
    • Walvoort, D.J.J.1    Brus, D.J.2    De Gruijter, J.J.3
  • 44
    • 0001025146 scopus 로고    scopus 로고
    • Query learning strategies using boosting and bagging
    • Madison, WI, USA
    • N. Abe and H. Mamitsuka, "Query learning strategies using boosting and bagging," in Proc. 15th Int. Conf. Mach. Learn., Madison, WI, USA, 1998, pp. 1-9.
    • (1998) Proc. 15th Int. Conf. Mach. Learn. , pp. 1-9
    • Abe, N.1    Mamitsuka, H.2
  • 45
    • 84898600404 scopus 로고    scopus 로고
    • M.B.
    • Brazil Janeiro De Rio Of Range Mountainous The In Landslides Catastrophic Recent The Of Mechanisms Mendonça,Rome, Italy
    • A. S. Avelar, A. L. C. Netto, W. A. Lacerda, L. B. Becker, and M. B. Mendonça, "Mechanisms of the recent catastrophic landslides in the mountainous range of Rio de Janeiro, Brazil," presented at the 2nd World Landslide Forum, Rome, Italy, 2011.
    • (2011) 2nd World Landslide Forum
    • Avelar, A.S.1    Netto, A.L.C.2    Lacerda, W.A.3    Becker, L.B.4
  • 46
    • 80052489984 scopus 로고    scopus 로고
    • Distribution pattern of earthquake-induced landslides triggered by the 12 May 2008 Wenchuan earthquake
    • Oct.
    • T. Gorum, X. Fan, C. J. van Westen, R. Q. Huang, Q. Xu, C. Tang, and G.Wang, "Distribution pattern of earthquake-induced landslides triggered by the 12 May 2008 Wenchuan earthquake," Geomorphology, vol. 133, no. 3/4, pp. 152-167, Oct. 2011.
    • (2011) Geomorphology , vol.133 , Issue.3-4 , pp. 152-167
    • Gorum, T.1    Fan, X.2    Van Westen, C.J.3    Huang, R.Q.4    Xu, Q.5    Tang, C.6    Wang, G.7
  • 48
    • 84898602430 scopus 로고    scopus 로고
    • ASTER-GDEM-VALIDATION-TEAM, ASTER global digital elevation model version2-Summaryof validation results, METI/ERSDAC, NASA/LPDAAC, USGS/EROS2011
    • ASTER-GDEM-VALIDATION-TEAM, ASTER global digital elevation model version2-Summaryof validation results,METI/ERSDAC, NASA/LPDAAC, USGS/EROS2011.
  • 49
    • 3342878970 scopus 로고    scopus 로고
    • Multivariable geostatistics in S: The gstat package
    • DOI 10.1016/j.cageo.2004.03.012, PII S0098300404000676
    • E. J. Pebesma, "Multivariable geostatistics in S: The gstat package," Comput. Geosci., vol. 30, no. 7, pp. 683-691, Aug. 2004. (Pubitemid 38994762)
    • (2004) Computers and Geosciences , vol.30 , Issue.7 , pp. 683-691
    • Pebesma, E.J.1
  • 52
    • 0030262498 scopus 로고    scopus 로고
    • Bounds on the mean classification error rate of multiple experts
    • DOI 10.1016/0167-8655(96)00105-5, PII S0167865596001055
    • P. Smyth, "Bounds on the mean classification error rate of multiple experts," Pattern Recognit. Lett., vol. 17, no. 12, pp. 1253-1257, Oct. 1996. (Pubitemid 126384221)
    • (1996) Pattern Recognition Letters , vol.17 , Issue.12 , pp. 1253-1257
    • Smyth, P.1
  • 54
    • 68549133155 scopus 로고    scopus 로고
    • Learning from imbalanced data
    • Sep.
    • H. He and E. A. Garcia, "Learning from imbalanced data," IEEE Trans. Know. Data Eng., vol. 21, no. 9, pp. 1263-1284, Sep. 2009.
    • (2009) IEEE Trans. Know. Data Eng. , vol.21 , Issue.9 , pp. 1263-1284
    • He, H.1    Garcia, E.A.2
  • 56
    • 0001812168 scopus 로고    scopus 로고
    • Multiresolution Segmentation-An optimization approach for high quality multi-scale image segmentation
    • Salzburg, Austria
    • M. Baatz and A. Schäpe, "Multiresolution Segmentation-An optimization approach for high quality multi-scale image segmentation," presented at the Angewandte Geographische Informationsverarbeitung XII, Salzburg, Austria, 2000.
    • (2000) Angewandte Geographische Informationsverarbeitung , vol.12
    • Baatz, M.1    Schäpe, A.2
  • 57
    • 82155192323 scopus 로고    scopus 로고
    • Segment optimization and data-driven thresholding for knowledge-based landslide detection by object-based image analysis
    • Dec.
    • T. R. Martha, N. Kerle, C. J. van Westen, V. Jetten, and K. V. Kumar, "Segment optimization and data-driven thresholding for knowledge-based landslide detection by object-based image analysis," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 12, pp. 4928-4943, Dec. 2011.
    • (2011) IEEE Trans. Geosci. Remote Sens. , vol.49 , Issue.12 , pp. 4928-4943
    • Martha, T.R.1    Kerle, N.2    Van Westen, C.J.3    Jetten, V.4    Kumar, K.V.5
  • 58
    • 75749106964 scopus 로고    scopus 로고
    • Characterising spectral, spatial and morphometric properties of landslides for semiautomatic detection using object-oriented methods
    • Mar.
    • T. Martha, N. Kerle, C. J. van Westen, and K. Kumar, "Characterising spectral, spatial and morphometric properties of landslides for semiautomatic detection using object-oriented methods," Geomorphology, vol. 116, no. 1/2, pp. 24-36, Mar. 2010.
    • (2010) Geomorphology , vol.116 , Issue.1-2 , pp. 24-36
    • Martha, T.1    Kerle, N.2    Van Westen, C.J.3    Kumar, K.4
  • 59
    • 0024105735 scopus 로고
    • Extracting topographic structure from digital elevation data for geographic information system analysis
    • S. K. Jenson and J. O. Domingue, "Extracting topographic structure from digital elevation data for geographic information system analysis," Photgramm. Eng. Remote Sens., vol. 54, no. 11, pp. 1593-1600, 1988.
    • (1988) Photgramm. Eng. Remote Sens. , vol.54 , Issue.11 , pp. 1593-1600
    • Jenson, S.K.1    Domingue, J.O.2
  • 61
  • 62
    • 1542442242 scopus 로고    scopus 로고
    • An assessment of Landsat TM based band 6 thermal data for analysing land cover in tropical dry forest regions
    • J. Southworth, "An assessment of Landsat TM band 6 thermal data for analysing land cover in tropical dry forest regions," Int. J. Remote Sens., vol. 25, no. 4, pp. 689-706, Feb. 2004. (Pubitemid 38329661)
    • (2004) International Journal of Remote Sensing , vol.25 , Issue.4 , pp. 689-706
    • Southworth, J.1
  • 63
    • 20444392475 scopus 로고    scopus 로고
    • Using random forest to learn imbalanced data
    • Unive. California, Berkeley, CA, USA
    • C. Chen, A. Liaw, and L. Breiman, "Using random forest to learn imbalanced data," Dept. Statistics, Unive. California, Berkeley, CA, USA, 2004.
    • (2004) Dept. Statistics
    • Chen, C.1    Liaw, A.2    Breiman, L.3
  • 65
    • 77955275042 scopus 로고    scopus 로고
    • Assessing the accuracy of land cover change with imperfect ground reference data
    • Oct.
    • G. M. Foody, "Assessing the accuracy of land cover change with imperfect ground reference data," Remote Sens. Environ., vol. 114, no. 10, pp. 2271-2285, Oct. 2010.
    • (2010) Remote Sens. Environ. , vol.114 , Issue.10 , pp. 2271-2285
    • Foody, G.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.