메뉴 건너뛰기




Volumn 53, Issue 10, 2015, Pages 5338-5351

Efficient Superpixel-Level Multitask Joint Sparse Representation for Hyperspectral Image Classification

Author keywords

Classification; Hyperspectral imagery; Multitask learning; Sparse representation

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); INDEPENDENT COMPONENT ANALYSIS; INFORMATION FUSION; PIXELS; REMOTE SENSING; SPECTROSCOPY;

EID: 85027917034     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2015.2421638     Document Type: Article
Times cited : (142)

References (52)
  • 1
    • 67650436064 scopus 로고    scopus 로고
    • Recent advances in techniques for hyperspectral image processing
    • Sep.
    • A. Plaza et al., "Recent advances in techniques for hyperspectral image processing", Remote Sens. Environ., vol. 113, pp. S110-S122, Sep. 2009.
    • (2009) Remote Sens. Environ. , vol.113 , pp. S110-S122
    • Plaza, A.1
  • 2
    • 66249130979 scopus 로고    scopus 로고
    • Automated hyperspectral cueing for civilian search and rescue
    • Jun.
    • M. T. Eismann, A. D. Stocker, and N. M. Nasrabadi, "Automated hyperspectral cueing for civilian search and rescue", Proc. IEEE, vol. 97, no. 6, pp. 1031-1055, Jun. 2009.
    • (2009) Proc. IEEE , vol.97 , Issue.6 , pp. 1031-1055
    • Eismann, M.T.1    Stocker, A.D.2    Nasrabadi, N.M.3
  • 3
    • 0037696635 scopus 로고    scopus 로고
    • Classification of hyperspectral data by decision trees and artificial neural networks to identify weed stress and nitrogen status of corn
    • May
    • P. K. Goel et al., "Classification of hyperspectral data by decision trees and artificial neural networks to identify weed stress and nitrogen status of corn", Comput. Electron. Agric., vol. 39, no. 2, pp. 67-93, May 2003.
    • (2003) Comput. Electron. Agric. , vol.39 , Issue.2 , pp. 67-93
    • Goel, P.K.1
  • 4
    • 0041732265 scopus 로고    scopus 로고
    • Preprocessing EO-1 Hyperion hyperspectral data to support the application of agricultural indexes
    • Jun.
    • B. Datt, T. R. McVicar, T. G. Van Niel, D. L. B. Jupp, and J. S. Pearlman, "Preprocessing EO-1 Hyperion hyperspectral data to support the application of agricultural indexes", IEEE Trans. Geosci. Remote Sens., vol. 41, no. 6, pp. 1246-1259, Jun. 2003.
    • (2003) IEEE Trans. Geosci. Remote Sens. , vol.41 , Issue.6 , pp. 1246-1259
    • Datt, B.1    McVicar, T.R.2    Van Niel, T.G.3    Jupp, D.L.B.4    Pearlman, J.S.5
  • 6
    • 84896394026 scopus 로고    scopus 로고
    • Hyperspectral band selection based on trivariate mutual information and clonal selection
    • Jul
    • F. Jie, L. C. Jiao, X. Zhang, and T. Sun, "Hyperspectral band selection based on trivariate mutual information and clonal selection", IEEE Trans. Geosci. Remote Sens., vol. 52, no. 7, pp. 4092-4105, Jul. 2014.
    • (2014) IEEE Trans. Geosci. Remote Sens. , vol.52 , Issue.7 , pp. 4092-4105
    • Jie, F.1    Jiao, L.C.2    Zhang, X.3    Sun, T.4
  • 7
    • 84905912652 scopus 로고    scopus 로고
    • Optimized hyperspectral band selection using particle swarm optimization
    • Jun.
    • H. Su, Q. Du, G. Chen, and P. Du, "Optimized hyperspectral band selection using particle swarm optimization", IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 7, no. 6, pp. 2659-2670, Jun. 2014.
    • (2014) IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. , vol.7 , Issue.6 , pp. 2659-2670
    • Su, H.1    Du, Q.2    Chen, G.3    Du, P.4
  • 8
    • 84896390467 scopus 로고    scopus 로고
    • Sparse graph-based discriminant analysis for hyperspectral imagery
    • Jul
    • L. Nam Hoai, Q. Du, and J. E. Fowler, "Sparse graph-based discriminant analysis for hyperspectral imagery", IEEE Trans. Geosci. Remote Sens., vol. 52, no. 7, pp. 3872-3884, Jul. 2014.
    • (2014) IEEE Trans. Geosci. Remote Sens. , vol.52 , Issue.7 , pp. 3872-3884
    • Nam Hoai, L.1    Du, Q.2    Fowler, J.E.3
  • 9
    • 33744719449 scopus 로고    scopus 로고
    • Independent component analysis-based dimensionality reduction with applications in hyperspectral image analysis
    • Jun.
    • J. Wang and C.-I. Chang, "Independent component analysis-based dimensionality reduction with applications in hyperspectral image analysis", IEEE Trans. Geosci. Remote Sens., vol. 44, no. 6, pp. 1586-1600, Jun. 2006.
    • (2006) IEEE Trans. Geosci. Remote Sens. , vol.44 , Issue.6 , pp. 1586-1600
    • Wang, J.1    Chang, C.-I.2
  • 10
    • 84880999607 scopus 로고    scopus 로고
    • Local patch discriminative metric learning for hyperspectral image feature extraction
    • Mar.
    • Q. Zhang, L. Zhang, Y. Yang, and L. Weng, "Local patch discriminative metric learning for hyperspectral image feature extraction", IEEE Geosci. Remote Sens. Lett., vol. 11, no. 3, pp. 612-616, Mar. 2014.
    • (2014) IEEE Geosci. Remote Sens. Lett. , vol.11 , Issue.3 , pp. 612-616
    • Zhang, Q.1    Zhang, L.2    Yang, Y.3    Weng, L.4
  • 11
    • 85032751123 scopus 로고    scopus 로고
    • Manifold-learningbased feature extraction for classification of hyperspectral data: A review of advances in manifold learning
    • Jan.
    • D. Lunga, S. Prasad, M. M. Crawford, and O. Ersoy, "Manifold-learningbased feature extraction for classification of hyperspectral data: A review of advances in manifold learning", IEEE Signal Process Mag., vol. 31, no. 1, pp. 55-66, Jan. 2014.
    • (2014) IEEE Signal Process Mag. , vol.31 , Issue.1 , pp. 55-66
    • Lunga, D.1    Prasad, S.2    Crawford, M.M.3    Ersoy, O.4
  • 12
    • 84897024579 scopus 로고    scopus 로고
    • Supervised segmentation of very high resolution images by the use of extended morphological attribute profiles and a sparse transform
    • Aug.
    • J. Li, H. Zhang, and L. Zhang, "Supervised segmentation of very high resolution images by the use of extended morphological attribute profiles and a sparse transform", IEEE Geosci. Remote Sens. Lett., vol. 11, no. 8, pp. 1409-1413, Aug. 2014.
    • (2014) IEEE Geosci. Remote Sens. Lett. , vol.11 , Issue.8 , pp. 1409-1413
    • Li, J.1    Zhang, H.2    Zhang, L.3
  • 13
    • 84871748730 scopus 로고    scopus 로고
    • An SVM ensemble approach combining spectral, structural, and semantic features for the classification of highresolution remotely sensed imagery
    • Jan.
    • X. Huang and L. Zhang, "An SVM ensemble approach combining spectral, structural, and semantic features for the classification of highresolution remotely sensed imagery", IEEE Trans. Geosci. Remote Sens., vol. 51, no. 1, pp. 257-272, Jan. 2013.
    • (2013) IEEE Trans. Geosci. Remote Sens. , vol.51 , Issue.1 , pp. 257-272
    • Huang, X.1    Zhang, L.2
  • 14
    • 84875713130 scopus 로고    scopus 로고
    • Hyperspectral image classification based on structured sparse logistic regression and three-dimensional wavelet texture features
    • Apr.
    • Y. Qian, M. Ye, and J. Zhou, "Hyperspectral image classification based on structured sparse logistic regression and three-dimensional wavelet texture features", IEEE Trans. Geosci. Remote Sens., vol. 51, no. 4, pp. 2276-2291, Apr. 2013.
    • (2013) IEEE Trans. Geosci. Remote Sens. , vol.51 , Issue.4 , pp. 2276-2291
    • Qian, Y.1    Ye, M.2    Zhou, J.3
  • 15
    • 78649843439 scopus 로고    scopus 로고
    • Extended profiles with morphological attribute filters for the analysis of hyperspectral data
    • Jul
    • M. Dalla Mura, J. Atli Benediktsson, B. Waske, and L. Bruzzone, "Extended profiles with morphological attribute filters for the analysis of hyperspectral data", Int. J. Remote Sens., vol. 31, no. 22, pp. 5975-5991, Jul. 2010.
    • (2010) Int. J. Remote Sens. , vol.31 , Issue.22 , pp. 5975-5991
    • Dalla Mura, M.1    Atli Benediktsson, J.2    Waske, B.3    Bruzzone, L.4
  • 16
    • 80052087210 scopus 로고    scopus 로고
    • On combining multiple features for hyperspectral remote sensing image classification
    • Mar.
    • L. Zhang, D. Tao, and X. Huang, "On combining multiple features for hyperspectral remote sensing image classification", IEEE Trans. Geosci. Remote Sens., vol. 50, no. 3, pp. 879-893, Mar. 2012.
    • (2012) IEEE Trans. Geosci. Remote Sens. , vol.50 , Issue.3 , pp. 879-893
    • Zhang, L.1    Tao, D.2    Huang, X.3
  • 17
    • 84863037300 scopus 로고    scopus 로고
    • A multilevel decision fusion approach for urban mapping using very high-resolution multi/hyperspectral imagery
    • X. Huang and L. Zhang, "A multilevel decision fusion approach for urban mapping using very high-resolution multi/hyperspectral imagery", Int. J. Remote Sens., vol. 33, no. 11, pp. 3354-3372, 2012.
    • (2012) Int. J. Remote Sens. , vol.33 , Issue.11 , pp. 3354-3372
    • Huang, X.1    Zhang, L.2
  • 18
    • 84907456238 scopus 로고    scopus 로고
    • Multiple feature learning for hyperspectral image classification
    • Mar.
    • J. Li et al., "Multiple feature learning for hyperspectral image classification", IEEE Trans. Geosci. Remote Sens., vol. 53, no. 3, pp. 1592-1606, Mar. 2014.
    • (2014) IEEE Trans. Geosci. Remote Sens. , vol.53 , Issue.3 , pp. 1592-1606
    • Li, J.1
  • 19
    • 84899940250 scopus 로고    scopus 로고
    • Column-generation kernel nonlocal joint collaborative representation for hyperspectral image classification
    • J. Li, H. Zhang, and L. Zhang, "Column-generation kernel nonlocal joint collaborative representation for hyperspectral image classification", ISPRS J. Photogramm., vol. 94, no. 4, pp. 25-36, 2014.
    • (2014) ISPRS J. Photogramm. , vol.94 , Issue.4 , pp. 25-36
    • Li, J.1    Zhang, H.2    Zhang, L.3
  • 20
    • 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
  • 21
    • 84901201294 scopus 로고    scopus 로고
    • Joint collaborative representation with multitask learning for hyperspectral image classification
    • Sep.
    • J. Li, H. Zhang, L. Zhang, X. Huang, and L. Zhang, "Joint collaborative representation with multitask learning for hyperspectral image classification", IEEE Trans. Geosci. Remote Sens., vol. 52, no. 9, pp. 5923-5936, Sep. 2014.
    • (2014) IEEE Trans. Geosci. Remote Sens. , vol.52 , Issue.9 , pp. 5923-5936
    • Li, J.1    Zhang, H.2    Zhang, L.3    Huang, X.4    Zhang, L.5
  • 23
    • 79957643015 scopus 로고    scopus 로고
    • Robust hyperspectral classification using relevance vector machine
    • Jun.
    • F. A. Mianji and Y. Zhang, "Robust hyperspectral classification using relevance vector machine", IEEE Trans. Geosci. Remote Sens., vol. 49, no. 6, pp. 2100-2112, Jun. 2011.
    • (2011) IEEE Trans. Geosci. Remote Sens. , vol.49 , Issue.6 , pp. 2100-2112
    • Mianji, F.A.1    Zhang, Y.2
  • 24
    • 84897807650 scopus 로고    scopus 로고
    • A novel classification technique based on progressive transductive SVM learning
    • Jun.
    • A. Singla, S. Patra, and L. Bruzzone, "A novel classification technique based on progressive transductive SVM learning", Pattern Recog. Lett., vol. 42, pp. 101-106, Jun. 2014.
    • (2014) Pattern Recog. Lett. , vol.42 , pp. 101-106
    • Singla, A.1    Patra, S.2    Bruzzone, L.3
  • 25
    • 80052087931 scopus 로고    scopus 로고
    • Spectral-spatial hyperspectral image segmentation using subspace multinomial logistic regression and Markov random fields
    • Mar.
    • J. Li, J. M. Bioucas-Dias and A. Plaza, "Spectral-spatial hyperspectral image segmentation using subspace multinomial logistic regression and Markov random fields", IEEE Trans. Geosci. Remote Sens., vol. 50, no. 3, pp. 809-823, Mar. 2012.
    • (2012) IEEE Trans. Geosci. Remote Sens. , vol.50 , Issue.3 , pp. 809-823
    • Li, J.1    Bioucas-Dias, J.M.2    Plaza, A.3
  • 26
    • 80053562930 scopus 로고    scopus 로고
    • Hyperspectral image segmentation using a new Bayesian approach with active learning
    • Oct.
    • J. Li, J. M. Bioucas-Dias, and A. Plaza, "Hyperspectral image segmentation using a new Bayesian approach with active learning", IEEE Trans. Geosci. Remote Sens., vol. 49, no. 10, pp. 3947-3960, Oct. 2011.
    • (2011) IEEE Trans. Geosci. Remote Sens. , vol.49 , Issue.10 , pp. 3947-3960
    • Li, J.1    Bioucas-Dias, J.M.2    Plaza, A.3
  • 29
    • 85027938563 scopus 로고    scopus 로고
    • A nonlinear multiple feature learning classifier for hyperspectral images with limited training samples
    • to be published
    • J. Li, H. Zhang, and L. Zhang, "A nonlinear multiple feature learning classifier for hyperspectral images with limited training samples", IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., 2015, to be published.
    • (2015) IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens.
    • Li, J.1    Zhang, H.2    Zhang, L.3
  • 30
    • 84869489944 scopus 로고    scopus 로고
    • Semisupervised hyperspectral image classification using soft sparse multinomial logistic regression
    • Mar.
    • J. Li, J. M. Bioucas-Dias, and A. Plaza, "Semisupervised hyperspectral image classification using soft sparse multinomial logistic regression", IEEE Geosci. Remote Sens. Lett., vol. 10, no. 2, pp. 318-322, Mar. 2013.
    • (2013) IEEE Geosci. Remote Sens. Lett. , vol.10 , Issue.2 , pp. 318-322
    • Li, J.1    Bioucas-Dias, J.M.2    Plaza, A.3
  • 31
    • 84872920883 scopus 로고    scopus 로고
    • Sparse kernel-based ensemble learning with fully optimized kernel parameters for hyperspectral classification problems
    • Feb.
    • P. Gurram and K. Heesung, "Sparse kernel-based ensemble learning with fully optimized kernel parameters for hyperspectral classification problems", IEEE Trans. Geosci. Remote Sens., vol. 51, no. 2, pp. 787-802, Feb. 2013.
    • (2013) IEEE Trans. Geosci. Remote Sens. , vol.51 , Issue.2 , pp. 787-802
    • Gurram, P.1    Heesung, K.2
  • 32
    • 84896316919 scopus 로고    scopus 로고
    • Spectral-spatial classification of hyperspectral images based on hidden Markov random fields
    • May
    • P. Ghamisi, J. A. Benediktsson, and M. O. Ulfarsson, "Spectral-spatial classification of hyperspectral images based on hidden Markov random fields", IEEE Trans. Geosci. Remote Sens., vol. 52, no. 5, pp. 2565-2574, May 2014.
    • (2014) IEEE Trans. Geosci. Remote Sens. , vol.52 , Issue.5 , pp. 2565-2574
    • Ghamisi, P.1    Benediktsson, J.A.2    Ulfarsson, M.O.3
  • 34
    • 79957470922 scopus 로고    scopus 로고
    • Sparse representation for target detection in hyperspectral imagery
    • May
    • Y. Chen, N. M. Nasrabadi, and T. D. Tran, "Sparse representation for target detection in hyperspectral imagery", IEEE J. Sel. Top. Signal Process., vol. 5, no. 3, pp. 629-640, May 2011.
    • (2011) IEEE J. Sel. Top. Signal Process. , vol.5 , Issue.3 , pp. 629-640
    • Chen, Y.1    Nasrabadi, N.M.2    Tran, T.D.3
  • 36
    • 84905922593 scopus 로고    scopus 로고
    • A nonlocal weighted joint sparse representation classification method for hyperspectral imagery
    • Jun.
    • H. Zhang, J. Li, Y. Huang, and L. Zhang, "A nonlocal weighted joint sparse representation classification method for hyperspectral imagery", IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 7, no. 6, pp. 2056-2065, Jun. 2014.
    • (2014) IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. , vol.7 , Issue.6 , pp. 2056-2065
    • Zhang, H.1    Li, J.2    Huang, Y.3    Zhang, L.4
  • 37
    • 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
  • 38
    • 84903119456 scopus 로고    scopus 로고
    • Image setbased collaborative representation for face recognition
    • Jul
    • P. Zhu, W. Zuo, L. Zhang, S. C.-K. Shiu, and D. Zhang, "Image setbased collaborative representation for face recognition", IEEE Trans. Inf. Forensics Secur., vol. 9, no. 7, pp. 1120-1132, Jul. 2014.
    • (2014) IEEE Trans. Inf. Forensics Secur. , vol.9 , Issue.7 , pp. 1120-1132
    • Zhu, P.1    Zuo, W.2    Zhang, L.3    Shiu, S.C.-K.4    Zhang, D.5
  • 39
    • 84866609133 scopus 로고    scopus 로고
    • Visual classification with multi-task joint sparse representation
    • Oct.
    • X. Yuan, X. Liu, and S. Yan, "Visual classification with multi-task joint sparse representation", IEEE Trans. Image Process., vol. 21, no. 10, pp. 4349-4360, Oct. 2012.
    • (2012) IEEE Trans. Image Process. , vol.21 , Issue.10 , pp. 4349-4360
    • Yuan, X.1    Liu, X.2    Yan, S.3
  • 40
    • 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., no. 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
  • 41
    • 84896401103 scopus 로고    scopus 로고
    • Hyperspectral image classification by nonlocal joint collaborative representation with a locally adaptive dictionary
    • Jun.
    • J. Li, H. Zhang, Y. Huang, and L. Zhang, "Hyperspectral image classification by nonlocal joint collaborative representation with a locally adaptive dictionary", IEEE Trans. Geosci. Remote Sens., vol. 52, no. 6, pp. 3707-3719, Jun. 2014.
    • (2014) IEEE Trans. Geosci. Remote Sens. , vol.52 , Issue.6 , pp. 3707-3719
    • Li, J.1    Zhang, H.2    Huang, Y.3    Zhang, L.4
  • 43
    • 84866657764 scopus 로고    scopus 로고
    • SLIC superpixels compared to state-of-the-art superpixel methods
    • Nov.
    • R. Achanta et al., "SLIC superpixels compared to state-of-the-art superpixel 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
  • 44
    • 77951173993 scopus 로고    scopus 로고
    • Accelerated gradient method for multi-task sparse learning problem
    • X. Chen, W. Pan, J. T. Kwok, and G. Carbonell, "Accelerated gradient method for multi-task sparse learning problem", in Proc. 9th IEEE ICDM, 2009, pp. 746-751.
    • (2009) Proc. 9th IEEE ICDM , pp. 746-751
    • Chen, X.1    Pan, W.2    Kwok, J.T.3    Carbonell, G.4
  • 45
    • 29144534131 scopus 로고    scopus 로고
    • Convergence theorems for generalized alternating minimization procedures
    • A. Gunawardana and W. Byrne, "Convergence theorems for generalized alternating minimization procedures", J. Mach. Learn. Res., vol. 6, pp. 2049-2073, 2005.
    • (2005) J. Mach. Learn. Res. , vol.6 , pp. 2049-2073
    • Gunawardana, A.1    Byrne, W.2
  • 46
    • 84883748507 scopus 로고    scopus 로고
    • Semi-supervised discriminative locally enhanced alignment for hyperspectral image classification
    • Sep.
    • Q. Shi, L. Zhang, and B. Du, "Semi-supervised discriminative locally enhanced alignment for hyperspectral image classification", IEEE Trans. Geosci. Remote Sens., vol. 51, no. 9, pp. 4800-4815, Sep. 2012.
    • (2012) IEEE Trans. Geosci. Remote Sens. , vol.51 , Issue.9 , pp. 4800-4815
    • Shi, Q.1    Zhang, L.2    Du, B.3
  • 48
    • 0008202233 scopus 로고    scopus 로고
    • Duality and geometry in SVM classifiers
    • K. P. Bennett and E. J. Bredensteiner, "Duality and geometry in SVM classifiers", in Proc. ICML, 2000, pp. 57-64.
    • (2000) Proc. ICML , pp. 57-64
    • Bennett, K.P.1    Bredensteiner, E.J.2
  • 49
    • 84898984811 scopus 로고    scopus 로고
    • A geometric interpretation of v-SVM classifiers
    • D. Burges and C. Crisp, "A geometric interpretation of v-SVM classifiers", Adv. Neural Inf. Process. Syst., vol. 12, no. 12, pp. 244, 2000.
    • (2000) Adv. Neural Inf. Process. Syst. , vol.12 , Issue.12 , pp. 244
    • Burges, D.1    Crisp, C.2
  • 50
    • 77953322499 scopus 로고    scopus 로고
    • Joint covariate selection and joint subspace selection for multiple classification problems
    • Apr.
    • G. Obozinski, B. Taskar, and M. I. Jordan, "Joint covariate selection and joint subspace selection for multiple classification problems", Statist. Comput., vol. 20, no. 2, pp. 231-252, Apr. 2010.
    • (2010) Statist. Comput. , vol.20 , Issue.2 , pp. 231-252
    • Obozinski, G.1    Taskar, B.2    Jordan, M.I.3
  • 51
    • 84902074636 scopus 로고    scopus 로고
    • New postprocessing methods for remote sensing image classification: A systematic study
    • Nov.
    • X. Huang, Q. Lu, L. Zhang, and A. Plaza, "New postprocessing methods for remote sensing image classification: A systematic study", IEEE Trans. Geosci. Remote Sens., vol. 52, no. 11, pp. 7140-7159, Nov. 2014.
    • (2014) IEEE Trans. Geosci. Remote Sens. , vol.52 , Issue.11 , pp. 7140-7159
    • Huang, X.1    Lu, Q.2    Zhang, L.3    Plaza, A.4
  • 52
    • 79955702502 scopus 로고    scopus 로고
    • LIBSVM: A library for support vector machines
    • Apr.
    • C. C. Chang and C. J. Lin, "LIBSVM: A library for support vector machines", ACM Trans. Intell. Syst. Technol., vol. 2, no. 3, p. 27, Apr. 2011.
    • (2011) ACM Trans. Intell. Syst. Technol. , vol.2 , Issue.3 , pp. 27
    • Chang, C.C.1    Lin, C.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.