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Volumn 54, Issue 3, 2016, Pages 1623-1634

Shapelet-based sparse representation for landcover classification of hyperspectral images

Author keywords

Dictionary construction; Hyperspectral; Shapelets; Sparse coding; Sparse representation

Indexed keywords

IMAGE CLASSIFICATION; IMAGE CODING;

EID: 84945371093     PISSN: 01962892     EISSN: 15580644     Source Type: Journal    
DOI: 10.1109/TGRS.2015.2484619     Document Type: Article
Times cited : (31)

References (52)
  • 1
    • 85032751634 scopus 로고    scopus 로고
    • Advances in hyperspectral image classification: Earth monitoring with statistical learning methods
    • Jan.
    • G. Camps-Valls, D. Tuia, L. Bruzzone, and J. A. Benediktsson, "Advances in hyperspectral image classification: Earth monitoring with statistical learning methods," IEEE Signal Process. Mag., vol. 31, no. 1, pp. 45-54, Jan. 2014.
    • (2014) IEEE Signal Process. Mag. , vol.31 , Issue.1 , pp. 45-54
    • Camps-Valls, G.1    Tuia, D.2    Bruzzone, L.3    Benediktsson, J.A.4
  • 2
    • 84888349041 scopus 로고    scopus 로고
    • Hyperspectral remote sensing data analysis and future challenges
    • Jun.
    • J. M. Bioucas-Dias et al., "Hyperspectral remote sensing data analysis and future challenges," IEEE Geosci. Remote Sens. Mag., vol. 1, no. 2, pp. 6-36, Jun. 2013.
    • (2013) IEEE Geosci. Remote Sens. Mag. , vol.1 , Issue.2 , pp. 6-36
    • Bioucas-Dias, J.M.1
  • 3
    • 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. Photogramm. Remote Sens., vol. 66, no. 3, pp. 247-259, May 2011.
    • (2011) ISPRS J. Photogramm. Remote Sens. , vol.66 , Issue.3 , pp. 247-259
    • Mountrakis, G.1    Im, J.2    Ogole, C.3
  • 4
    • 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
  • 5
    • 77953871614 scopus 로고    scopus 로고
    • Sensitivity of support vector machines to random feature selection in classification of hyperspectral data
    • Jul.
    • B. Waske, S. van der Linden, J. A. Benediktsson, A. Rabe, and P. Hostert, "Sensitivity of support vector machines to random feature selection in classification of hyperspectral data," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 7, pp. 2880-2889, Jul. 2010.
    • (2010) IEEE Trans. Geosci. Remote Sens. , vol.48 , Issue.7 , pp. 2880-2889
    • Waske, B.1    Van der Linden, S.2    Benediktsson, J.A.3    Rabe, A.4    Hostert, P.5
  • 6
    • 77953005976 scopus 로고    scopus 로고
    • Mapping of hyperspectral AVIRIS data using machine-learning algorithms
    • Jan.
    • B. Waske, J. A. Benediktsson, K. Rnason, and J. R. Sveinsson, "Mapping of hyperspectral AVIRIS data using machine-learning algorithms," Can. J. Remote Sens., vol. 35, pp. S106-S116, Jan. 2009.
    • (2009) Can. J. Remote Sens. , vol.35 , pp. S106-S116
    • Waske, B.1    Benediktsson, J.A.2    Rnason, K.3    Sveinsson, J.R.4
  • 7
    • 84865698912 scopus 로고    scopus 로고
    • Incremental import vector machines for classifying hyperspectral data
    • Sep.
    • R. Roscher, B. Waske, and W. Förstner, "Incremental import vector machines for classifying hyperspectral data," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 9, pp. 3463-3473, Sep. 2012.
    • (2012) IEEE Trans. Geosci. Remote Sens. , vol.50 , Issue.9 , pp. 3463-3473
    • Roscher, R.1    Waske, B.2    Förstner, W.3
  • 8
    • 78049282844 scopus 로고    scopus 로고
    • Semisupervised hyper-spectral image segmentation using multinomial logistic regression with active learning
    • Nov.
    • J. Li, J. M. Bioucas-Dias, and A. Plaza, "Semisupervised hyper-spectral image segmentation using multinomial logistic regression with active learning," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 11, pp. 4085-4098, Nov. 2010.
    • (2010) IEEE Trans. Geosci. Remote Sens. , vol.48 , Issue.11 , pp. 4085-4098
    • Li, J.1    Bioucas-Dias, J.M.2    Plaza, A.3
  • 9
    • 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
  • 10
    • 84869491579 scopus 로고    scopus 로고
    • An overview and comparison of smooth labeling methods for land-cover classification
    • Nov.
    • K. Schindler, "An overview and comparison of smooth labeling methods for land-cover classification," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 11, pp. 4534-4545, Nov. 2012.
    • (2012) IEEE Trans. Geosci. Remote Sens. , vol.50 , Issue.11 , pp. 4534-4545
    • Schindler, K.1
  • 11
    • 84899967600 scopus 로고    scopus 로고
    • Advances in spectral-spatial classification of hyperspectral images
    • Mar.
    • M. Fauvel, Y. Tarabalka, J. A. Benediktsson, J. Chanussot, and J. C. Tilton, "Advances in spectral-spatial classification of hyperspectral images," Proc. IEEE, vol. 101, no. 3, pp. 652-675, Mar. 2013.
    • (2013) Proc. IEEE , vol.101 , Issue.3 , pp. 652-675
    • Fauvel, M.1    Tarabalka, Y.2    Benediktsson, J.A.3    Chanussot, J.4    Tilton, J.C.5
  • 14
    • 14644412366 scopus 로고    scopus 로고
    • Classification of hyperspectral data from urban areas based on extended morphological profiles
    • Mar.
    • J. A. Benediktsson, J. A. Palmason, and J. R. Sveinsson, "Classification of hyperspectral data from urban areas based on extended morphological profiles," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 3, pp. 480-491, Mar. 2005.
    • (2005) IEEE Trans. Geosci. Remote Sens. , vol.43 , Issue.3 , pp. 480-491
    • Benediktsson, J.A.1    Palmason, J.A.2    Sveinsson, J.R.3
  • 15
    • 56849127860 scopus 로고    scopus 로고
    • Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles
    • Nov.
    • M. Fauvel, J. A. Benediktsson, J. Chanussot, and J. R. Sveinsson, "Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 11, pp. 3804-3814, Nov. 2008.
    • (2008) IEEE Trans. Geosci. Remote Sens. , vol.46 , Issue.11 , pp. 3804-3814
    • Fauvel, M.1    Benediktsson, J.A.2    Chanussot, J.3    Sveinsson, J.R.4
  • 16
    • 77957007028 scopus 로고    scopus 로고
    • Morphological attribute profiles for the analysis of very high resolution images
    • Oct.
    • M. Dalla Mura, J. A. Benediktsson, B. Waske, and L. Bruzzone, "Morphological attribute profiles for the analysis of very high resolution images," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 10, pp. 3747-3762, Oct. 2010.
    • (2010) IEEE Trans. Geosci. Remote Sens. , vol.48 , Issue.10 , pp. 3747-3762
    • Dalla Mura, M.1    Benediktsson, J.A.2    Waske, B.3    Bruzzone, L.4
  • 18
    • 73249139477 scopus 로고    scopus 로고
    • Object based image analysis for remote sensing
    • T. Blaschke, "Object based image analysis for remote sensing," ISPRS J. Photogram. Remote Sens., vol. 65, no. 1, pp. 2-16, 2010.
    • (2010) ISPRS J. Photogram. Remote Sens. , vol.65 , Issue.1 , pp. 2-16
    • Blaschke, T.1
  • 19
    • 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
  • 20
    • 0016882368 scopus 로고
    • Classification of multispec-tral image data by extraction and classification of homogeneous objects
    • Jan.
    • R. L. Kettig and D. A. Landgrebe, "Classification of multispec-tral image data by extraction and classification of homogeneous objects," IEEE Trans. Geosci. Electron., vol. GE-14, no. 1, pp. 19-26, Jan. 1976.
    • (1976) IEEE Trans. Geosci. Electron. , vol.GE-14 , Issue.1 , pp. 19-26
    • Kettig, R.L.1    Landgrebe, D.A.2
  • 21
    • 84888305489 scopus 로고    scopus 로고
    • Hyperspectral image classification using Gaussian mixture models and Markov random fields
    • Jan.
    • W. Li, S. Prasad, and J. E. Fowler, "Hyperspectral image classification using Gaussian mixture models and Markov random fields," IEEE Geosci. Remote Sens. Lett., vol. 11, no. 1, pp. 153-157, Jan. 2014.
    • (2014) IEEE Geosci. Remote Sens. Lett. , vol.11 , Issue.1 , pp. 153-157
    • Li, W.1    Prasad, S.2    Fowler, J.E.3
  • 22
    • 77958017904 scopus 로고    scopus 로고
    • SVM-and MRF-based method for accurate classification of hyperspectral images
    • Oct.
    • Y. Tarabalka, M. Fauvel, J. Chanussot, and J. A. Benediktsson, "SVM-and MRF-based method for accurate classification of hyperspectral images," IEEE Geosci. Remote Sens. Lett., vol. 7, no. 4, pp. 736-740, Oct. 2010.
    • (2010) IEEE Geosci. Remote Sens. Lett. , vol.7 , Issue.4 , pp. 736-740
    • Tarabalka, Y.1    Fauvel, M.2    Chanussot, J.3    Benediktsson, J.A.4
  • 24
    • 80053571096 scopus 로고    scopus 로고
    • Hyperspectral image classification using dictionary-based sparse representation
    • Oct.
    • Y. Chen, N. M. Nasrabadi, and T. D. Tran, "Hyperspectral image classification using dictionary-based sparse representation," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 10, pp. 3973-3985, Oct. 2011.
    • (2011) IEEE Trans. Geosci. Remote Sens. , vol.49 , Issue.10 , pp. 3973-3985
    • Chen, Y.1    Nasrabadi, N.M.2    Tran, T.D.3
  • 25
    • 84896402578 scopus 로고    scopus 로고
    • Data-driven compressive sampling and learning sparse coding for hyperspectral image classification
    • Feb.
    • S. Yang, H. Jin, M. Wang, Y. Ren, and L. Jiao, "Data-driven compressive sampling and learning sparse coding for hyperspectral image classification," IEEE Geosci. Remote Sens. Lett., vol. 11, no. 2, pp. 479-483, Feb. 2014.
    • (2014) IEEE Geosci. Remote Sens. Lett. , vol.11 , Issue.2 , pp. 479-483
    • Yang, S.1    Jin, H.2    Wang, M.3    Ren, Y.4    Jiao, L.5
  • 27
    • 80455122805 scopus 로고    scopus 로고
    • Learning discriminative sparse representations for modeling, source separation, and mapping of hyperspectral imagery
    • Nov.
    • A. Castrodad et al., "Learning discriminative sparse representations for modeling, source separation, and mapping of hyperspectral imagery," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 11, pp. 4263-4281, Nov. 2011.
    • (2011) IEEE Trans. Geosci. Remote Sens. , vol.49 , Issue.11 , pp. 4263-4281
    • Castrodad, A.1
  • 30
    • 0037313218 scopus 로고    scopus 로고
    • Dictionary learning algorithms for sparse representation
    • K. Kreutz-Delgado et al., "Dictionary learning algorithms for sparse representation," Neural Comput., vol. 15, no. 2, pp. 349-396, 2003.
    • (2003) Neural Comput. , vol.15 , Issue.2 , pp. 349-396
    • Kreutz-Delgado, K.1
  • 31
    • 0034133184 scopus 로고    scopus 로고
    • Learning overcomplete representations
    • M. S. Lewicki and T. J. Sejnowski, "Learning overcomplete representations," Neural Comput., vol. 12, no. 2, pp. 337-365, 2000.
    • (2000) Neural Comput. , vol.12 , Issue.2 , pp. 337-365
    • Lewicki, M.S.1    Sejnowski, T.J.2
  • 32
    • 84871731919 scopus 로고    scopus 로고
    • Hyperspectral image classification via kernel sparse representation
    • Jan.
    • Y. Chen, N. M. Nasrabadi, and T. D. Tran, "Hyperspectral image classification via kernel sparse representation," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 1, pp. 217-231, Jan. 2013.
    • (2013) IEEE Trans. Geosci. Remote Sens. , vol.51 , Issue.1 , pp. 217-231
    • Chen, Y.1    Nasrabadi, N.M.2    Tran, T.D.3
  • 33
    • 84871787087 scopus 로고    scopus 로고
    • Efficient high-dimensional inference in the multiple measurement vector problem
    • Jan.
    • J. Ziniel and P. Schniter, "Efficient high-dimensional inference in the multiple measurement vector problem," IEEE Trans. Signal Process., vol. 61, no. 2, pp. 340-354, Jan. 2013.
    • (2013) IEEE Trans. Signal Process. , vol.61 , Issue.2 , pp. 340-354
    • Ziniel, J.1    Schniter, P.2
  • 34
    • 84856895585 scopus 로고    scopus 로고
    • Rank awareness in joint sparse recovery
    • Feb.
    • M. E. Davies and Y. C. Eldar, "Rank awareness in joint sparse recovery," IEEE Trans. Inf. Theory, vol. 58, no. 2, pp. 1135-1146, Feb. 2012.
    • (2012) IEEE Trans. Inf. Theory , vol.58 , Issue.2 , pp. 1135-1146
    • Davies, M.E.1    Eldar, Y.C.2
  • 35
    • 30844445842 scopus 로고    scopus 로고
    • Algorithms for simultaneous sparse approximation: Part I: Greedy pursuit
    • J. A. Tropp, A. C. Gilbert, and M. J. Strauss, "Algorithms for simultaneous sparse approximation: Part I: Greedy pursuit," Signal Process., vol. 86, no. 3, pp. 572-588, 2006.
    • (2006) Signal Process. , vol.86 , Issue.3 , pp. 572-588
    • Tropp, J.A.1    Gilbert, A.C.2    Strauss, M.J.3
  • 36
    • 84939522059 scopus 로고    scopus 로고
    • Self-dictionary sparse regression for hyperspectral unmixing: Greedy pursuit and pure pixel search are related
    • Sep.
    • X. Fu, W. Ma, T. Chan, and J. M. Bioucas-Dias, "Self-dictionary sparse regression for hyperspectral unmixing: Greedy pursuit and pure pixel search are related," IEEE J. Sel. Topics Signal Process., vol. 9, no. 6, pp. 1128-1141, Sep. 2015.
    • (2015) IEEE J. Sel. Topics Signal Process. , vol.9 , Issue.6 , pp. 1128-1141
    • Fu, X.1    Ma, W.2    Chan, T.3    Bioucas-Dias, J.M.4
  • 37
  • 39
    • 84888868958 scopus 로고    scopus 로고
    • Sparse representation using contextual information for hyperspectral image classification
    • H. Yuan, Y. Lu, L. Yang, H. Luo, and Y. Y. Tang, "Sparse representation using contextual information for hyperspectral image classification," in Proc. IEEE Int. Conf. Cybern., 2013, pp. 138-143.
    • (2013) Proc. IEEE Int. Conf. Cybern. , pp. 138-143
    • Yuan, H.1    Lu, Y.2    Yang, L.3    Luo, H.4    Tang, Y.Y.5
  • 40
    • 84870541423 scopus 로고    scopus 로고
    • Exploiting sparsity in hyperspectral image classification via graphical models
    • May
    • U. Srinivas, Y. Chen, V. Monga, N. M. Nasrabadi, and T. D. Tran, "Exploiting sparsity in hyperspectral image classification via graphical models," IEEE Geosci. Remote Sens. Lett., vol. 10, no. 3, pp. 505-509, May 2013.
    • (2013) IEEE Geosci. Remote Sens. Lett. , vol.10 , Issue.3 , pp. 505-509
    • Srinivas, U.1    Chen, Y.2    Monga, V.3    Nasrabadi, N.M.4    Tran, T.D.5
  • 41
    • 84897025270 scopus 로고    scopus 로고
    • Structured priors for sparse-representation-based hyperspectral image classification
    • Jul.
    • X. Sun, Q. Qu, N. M. Nasrabadi, and T. D. Tran, "Structured priors for sparse-representation-based hyperspectral image classification," IEEE Geosci. Remote Sens. Lett., vol. 11, no. 7, pp. 1235-1239, Jul. 2014.
    • (2014) IEEE Geosci. Remote Sens. Lett. , vol.11 , Issue.7 , pp. 1235-1239
    • Sun, X.1    Qu, Q.2    Nasrabadi, N.M.3    Tran, T.D.4
  • 42
    • 84890430996 scopus 로고    scopus 로고
    • Collaborative sparse regression for hyperspectral unmixing
    • Jan.
    • M.-D. Iordache, J. M. Bioucas-Dias, and A. Plaza, "Collaborative sparse regression for hyperspectral unmixing," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 1, pp. 341-354, Jan. 2014.
    • (2014) IEEE Trans. Geosci. Remote Sens. , vol.52 , Issue.1 , pp. 341-354
    • Iordache, M.-D.1    Bioucas-Dias, J.M.2    Plaza, A.3
  • 43
    • 84861772901 scopus 로고    scopus 로고
    • Hyperspectral unmixing overview: Geometrical, statistical, and sparse regression-based approaches
    • Apr.
    • J. M. Bioucas-Dias et al., "Hyperspectral unmixing overview: Geometrical, statistical, and sparse regression-based approaches," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 5, no. 2, pp. 354-379, Apr. 2012.
    • (2012) IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. , vol.5 , Issue.2 , pp. 354-379
    • Bioucas-Dias, J.M.1
  • 44
    • 84939615428 scopus 로고    scopus 로고
    • New algorithms for learning incoherent and overcomplete dictionaries
    • S. Arora, R. Ge, and A. Moitra, "New algorithms for learning incoherent and overcomplete dictionaries," in Proc. Workshop Conf. J. Mach. Learn. Res., 2014, pp. 779-806.
    • (2014) Proc. Workshop Conf. J. Mach. Learn. Res. , pp. 779-806
    • Arora, S.1    Ge, R.2    Moitra, A.3
  • 45
    • 77952714665 scopus 로고    scopus 로고
    • Dictionaries for sparse representation modeling
    • Jun.
    • R. Rubinstein, A. M. Bruckstein, and M. Elad, "Dictionaries for sparse representation modeling," Proc. IEEE, vol. 98, no. 6, pp. 1045-1057, Jun. 2010.
    • (2010) Proc. IEEE , vol.98 , Issue.6 , pp. 1045-1057
    • Rubinstein, R.1    Bruckstein, A.M.2    Elad, M.3
  • 46
    • 84991013835 scopus 로고    scopus 로고
    • Spectral superresolution of hyperspectral imagery using reweighted l\ spatial filtering
    • Mar.
    • A. S. Charles and C. J. Rozell, "Spectral superresolution of hyperspectral imagery using reweighted l\ spatial filtering," IEEE Geosci. Remote Sens. Lett., vol. 11, no. 3, pp. 602-606, Mar. 2014.
    • (2014) IEEE Geosci. Remote Sens. Lett. , vol.11 , Issue.3 , pp. 602-606
    • Charles, A.S.1    Rozell, C.J.2
  • 48
    • 84881174823 scopus 로고    scopus 로고
    • Undercomplete learned dictionaries for land cover classification in multispectral imagery of arctic landscapes using CoSA: Clustering of sparse approximations
    • D. I. Moody, S. P. Brumby, J. C. Rowland, and C. Gangodagamage, "Undercomplete learned dictionaries for land cover classification in multispectral imagery of arctic landscapes using CoSA: Clustering of sparse approximations," in Proc. SPIE Def., Security, Sens. Int. Soc. Opt. Photon., 2013, Art. ID. 87 430B.
    • (2013) Proc. SPIE Def., Security, Sens. Int. Soc. Opt. Photon.
    • Moody, D.I.1    Brumby, S.P.2    Rowland, J.C.3    Gangodagamage, C.4
  • 49
    • 84866657764 scopus 로고    scopus 로고
    • SLIC superpixels compared to state-of-the-art super-pixel methods
    • Nov.
    • R. Achanta et al., "SLIC superpixels compared to state-of-the-art super-pixel methods," IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 11, pp. 2274-2282, Nov. 2012.
    • (2012) IEEE Trans. Pattern Anal. Mach. Intell. , vol.34 , Issue.11 , pp. 2274-2282
    • Achanta, R.1
  • 52
    • 33750383209 scopus 로고    scopus 로고
    • K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation
    • Nov.
    • M. Aharon, M. Elad, and A. Bruckstein, "K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation," IEEE Trans. Signal Process., vol. 54, no. 11, pp. 4311-4322, Nov. 2006.
    • (2006) IEEE Trans. Signal Process. , vol.54 , Issue.11 , pp. 4311-4322
    • Aharon, M.1    Elad, M.2    Bruckstein, A.3


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