메뉴 건너뛰기




Volumn 56, Issue 10, 2018, Pages 5910-5922

Optimal Clustering Framework for Hyperspectral Band Selection

Author keywords

Dynamic programming (DP); hyperspectral band selection; normalized cut (NC); spectral clustering (SC)

Indexed keywords

APPROXIMATION ALGORITHMS; CLUSTERING ALGORITHMS; SPECTROSCOPY;

EID: 85046769662     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2018.2828161     Document Type: Article
Times cited : (309)

References (49)
  • 1
    • 84871790849 scopus 로고    scopus 로고
    • Crop yield estimation based on unsupervised linear unmixing of multidate hyperspectral imagery
    • Jan.
    • B. Luo, C. Yang, J. Chanussot, and L. Zhang, "Crop yield estimation based on unsupervised linear unmixing of multidate hyperspectral imagery, " IEEE Trans. Geosci. Remote Sens., vol. 51, no. 1, pp. 162-173, Jan. 2013.
    • (2013) IEEE Trans. Geosci. Remote Sens. , vol.51 , Issue.1 , pp. 162-173
    • Luo, B.1    Yang, C.2    Chanussot, J.3    Zhang, L.4
  • 2
    • 77954647676 scopus 로고    scopus 로고
    • Detection and analysis of the intestinal ischemia using visible and invisible hyperspectral imaging
    • Aug.
    • H. Akbari, Y. Kosugi, K. Kojima, and N. Tanaka, "Detection and analysis of the intestinal ischemia using visible and invisible hyperspectral imaging, " IEEE Trans. Biomed. Eng., vol. 57, no. 8, pp. 2011-2017, Aug. 2010.
    • (2010) IEEE Trans. Biomed. Eng. , vol.57 , Issue.8 , pp. 2011-2017
    • Akbari, H.1    Kosugi, Y.2    Kojima, K.3    Tanaka, N.4
  • 3
    • 77957741951 scopus 로고
    • On the mean accuracy of statistical pattern recognizers
    • Jan.
    • G. Hughes, "On the mean accuracy of statistical pattern recognizers, " IEEE Trans. Inf. Theory, vol. IT-14, no. 1, pp. 55-63, Jan. 1968.
    • (1968) IEEE Trans. Inf. Theory , vol.IT-14 , Issue.1 , pp. 55-63
    • Hughes, G.1
  • 4
    • 84981321229 scopus 로고    scopus 로고
    • Hyperspectral feature extraction using total variation component analysis
    • Dec.
    • B. Rasti, M. O. Ulfarsson, and J. R. Sveinsson, "Hyperspectral feature extraction using total variation component analysis, " IEEE Trans. Geosci. Remote Sens., vol. 54, no. 12, pp. 6976-6985, Dec. 2016.
    • (2016) IEEE Trans. Geosci. Remote Sens. , vol.54 , Issue.12 , pp. 6976-6985
    • Rasti, B.1    Ulfarsson, M.O.2    Sveinsson, J.R.3
  • 5
    • 85035806000 scopus 로고    scopus 로고
    • Supervised deep feature extraction for hyperspectral image classification
    • Apr.
    • B. Liu, X. Yu, P. Zhang, A. Yu, Q. Fu, and X. Wei, "Supervised deep feature extraction for hyperspectral image classification, " IEEE Trans. Geosci. Remote Sens., vol. 56, no. 4, pp. 1909-1921, Apr. 2018.
    • (2018) IEEE Trans. Geosci. Remote Sens. , vol.56 , Issue.4 , pp. 1909-1921
    • Liu, B.1    Yu, X.2    Zhang, P.3    Yu, A.4    Fu, Q.5    Wei, X.6
  • 6
    • 85018522896 scopus 로고    scopus 로고
    • A sparse and lowrank near-isometric linear embedding method for feature extraction in hyperspectral imagery classification
    • Jul.
    • W. Sun, G. Yang, B. Du, L. Zhang, and L. Zhang, "A sparse and lowrank near-isometric linear embedding method for feature extraction in hyperspectral imagery classification, " IEEE Trans. Geosci. Remote Sens., vol. 55, no. 7, pp. 4032-4046, Jul. 2017.
    • (2017) IEEE Trans. Geosci. Remote Sens. , vol.55 , Issue.7 , pp. 4032-4046
    • Sun, W.1    Yang, G.2    Du, B.3    Zhang, L.4    Zhang, L.5
  • 7
    • 84896389880 scopus 로고    scopus 로고
    • Feature extraction of hyperspectral images with image fusion and recursive filtering
    • Jun.
    • X. Kang, S. Li, and J. A. Benediktsson, "Feature extraction of hyperspectral images with image fusion and recursive filtering, " IEEE Trans. Geosci. Remote Sens., vol. 52, no. 6, pp. 3742-3752, Jun. 2014.
    • (2014) IEEE Trans. Geosci. Remote Sens. , vol.52 , Issue.6 , pp. 3742-3752
    • Kang, X.1    Li, S.2    Benediktsson, J.A.3
  • 8
    • 84908028989 scopus 로고    scopus 로고
    • Intrinsic image decomposition for feature extraction of hyperspectral images
    • Apr.
    • X. Kang, S. Li, L. Fang, and J. A. Benediktsson, "Intrinsic image decomposition for feature extraction of hyperspectral images, " IEEE Trans. Geosci. Remote Sens., vol. 53, no. 4, pp. 2241-2253, Apr. 2015.
    • (2015) IEEE Trans. Geosci. Remote Sens. , vol.53 , Issue.4 , pp. 2241-2253
    • Kang, X.1    Li, S.2    Fang, L.3    Benediktsson, J.A.4
  • 9
    • 84954193345 scopus 로고    scopus 로고
    • Supervised band selection using local spatial information for hyperspectral image
    • Mar.
    • X. Cao, T. Xiong, and L. Jiao, "Supervised band selection using local spatial information for hyperspectral image, " IEEE Geosci. Remote Sens. Lett., vol. 13, no. 3, pp. 329-333, Mar. 2016.
    • (2016) IEEE Geosci. Remote Sens. Lett. , vol.13 , Issue.3 , pp. 329-333
    • Cao, X.1    Xiong, T.2    Jiao, L.3
  • 11
    • 85010005114 scopus 로고    scopus 로고
    • Hyperspectral band selection from statistical wavelet models
    • Apr.
    • S. Feng, Y. Itoh, M. Parente, and M. F. Duarte, "Hyperspectral band selection from statistical wavelet models, " IEEE Trans. Geosci. Remote Sens., vol. 55, no. 4, pp. 2111-2123, Apr. 2017.
    • (2017) IEEE Trans. Geosci. Remote Sens. , vol.55 , Issue.4 , pp. 2111-2123
    • Feng, S.1    Itoh, Y.2    Parente, M.3    Duarte, M.F.4
  • 12
    • 78650930212 scopus 로고    scopus 로고
    • An efficient method for supervised hyperspectral band selection
    • Jan.
    • H. Yang, Q. Du, H. Su, and Y. Sheng, "An efficient method for supervised hyperspectral band selection, " IEEE Geosci. Remote Sens. Lett., vol. 8, no. 1, pp. 138-142, Jan. 2011.
    • (2011) IEEE Geosci. Remote Sens. Lett. , vol.8 , Issue.1 , pp. 138-142
    • Yang, H.1    Du, Q.2    Su, H.3    Sheng, Y.4
  • 13
    • 85031788042 scopus 로고    scopus 로고
    • Hyperspectral band selection using improved classification map
    • Nov.
    • X. Cao, C. Wei, J. Han, and L. Jiao, "Hyperspectral band selection using improved classification map, " IEEE Geosci. Remote Sens. Lett., vol. 14, no. 11, pp. 2147-2151, Nov. 2017.
    • (2017) IEEE Geosci. Remote Sens. Lett. , vol.14 , Issue.11 , pp. 2147-2151
    • Cao, X.1    Wei, C.2    Han, J.3    Jiao, L.4
  • 14
    • 84921030733 scopus 로고    scopus 로고
    • Mutual-informationbased semi-supervised hyperspectral band selection with high discrimination, high information, and low redundancy
    • May
    • J. Feng, L. Jiao, F. Liu, T. Sun, and X. Zhang, "Mutual-informationbased semi-supervised hyperspectral band selection with high discrimination, high information, and low redundancy, " IEEE Trans. Geosci. Remote Sens., vol. 53, no. 5, pp. 2956-2969, May 2015.
    • (2015) IEEE Trans. Geosci. Remote Sens. , vol.53 , Issue.5 , pp. 2956-2969
    • Feng, J.1    Jiao, L.2    Liu, F.3    Sun, T.4    Zhang, X.5
  • 15
    • 84897768048 scopus 로고    scopus 로고
    • A hypergraph based semi-supervised band selection method for hyperspectral image classification
    • Sep.
    • Z. Guo, X. Bai, Z. Zhang, and J. Zhou, "A hypergraph based semi-supervised band selection method for hyperspectral image classification, " in Proc. IEEE Int. Conf. Image Process., Sep. 2013, pp. 3137-3141.
    • (2013) Proc. IEEE Int. Conf. Image Process. , pp. 3137-3141
    • Guo, Z.1    Bai, X.2    Zhang, Z.3    Zhou, J.4
  • 16
    • 84897808785 scopus 로고    scopus 로고
    • Group sparsity based semi-supervised band selection for hyperspectral images
    • Sep.
    • H. Li, Y. Wang, J. Duan, S. Xiang, and C. Pan, "Group sparsity based semi-supervised band selection for hyperspectral images, " in Proc. IEEE Int. Conf. Image Process., Sep. 2013, pp. 3225-3229.
    • (2013) Proc. IEEE Int. Conf. Image Process. , pp. 3225-3229
    • Li, H.1    Wang, Y.2    Duan, J.3    Xiang, S.4    Pan, C.5
  • 17
    • 84947968944 scopus 로고    scopus 로고
    • Hyperspectral band selection using improved firefly algorithm
    • Jan.
    • H. Su, B. Yong, and Q. Du, "Hyperspectral band selection using improved firefly algorithm, " IEEE Geosci. Remote Sens. Lett., vol. 13, no. 1, pp. 68-72, Jan. 2016.
    • (2016) IEEE Geosci. Remote Sens. Lett. , vol.13 , Issue.1 , pp. 68-72
    • Su, H.1    Yong, B.2    Du, Q.3
  • 18
    • 84906781720 scopus 로고    scopus 로고
    • Unsupervised band selection by integrating the overall accuracy and redundancy
    • Jan.
    • C. Sui, Y. Tian, Y. Xu, and Y. Xie, "Unsupervised band selection by integrating the overall accuracy and redundancy, " IEEE Geosci. Remote Sens. Lett., vol. 12, no. 1, pp. 185-189, Jan. 2015.
    • (2015) IEEE Geosci. Remote Sens. Lett. , vol.12 , Issue.1 , pp. 185-189
    • Sui, C.1    Tian, Y.2    Xu, Y.3    Xie, Y.4
  • 19
    • 85017190995 scopus 로고    scopus 로고
    • Unsupervised hyperspectral band selection by fuzzy clustering with particle swarm optimization
    • May
    • M. Zhang, J. Ma, and M. Gong, "Unsupervised hyperspectral band selection by fuzzy clustering with particle swarm optimization, " IEEE Geosci. Remote Sens. Lett., vol. 14, no. 5, pp. 773-777, May 2017.
    • (2017) IEEE Geosci. Remote Sens. Lett. , vol.14 , Issue.5 , pp. 773-777
    • Zhang, M.1    Ma, J.2    Gong, M.3
  • 20
    • 84947027877 scopus 로고    scopus 로고
    • Unsupervised band selection based on evolutionary multiobjective optimization for hyperspectral images
    • Jan.
    • M. Gong, M. Zhang, and Y. Yuan, "Unsupervised band selection based on evolutionary multiobjective optimization for hyperspectral images, " IEEE Trans. Geosci. Remote Sens., vol. 54, no. 1, pp. 544-557, Jan. 2016.
    • (2016) IEEE Trans. Geosci. Remote Sens. , vol.54 , Issue.1 , pp. 544-557
    • Gong, M.1    Zhang, M.2    Yuan, Y.3
  • 21
    • 84977998287 scopus 로고    scopus 로고
    • Salient band selection for hyperspectral image classification via manifold ranking
    • Jun.
    • Q. Wang, J. Lin, and Y. Yuan, "Salient band selection for hyperspectral image classification via manifold ranking, " IEEE Trans. Neural Netw. Learn. Syst., vol. 27, no. 6, pp. 1279-1289, Jun. 2016.
    • (2016) IEEE Trans. Neural Netw. Learn. Syst. , vol.27 , Issue.6 , pp. 1279-1289
    • Wang, Q.1    Lin, J.2    Yuan, Y.3
  • 22
    • 84954155328 scopus 로고    scopus 로고
    • Automatic band selection using spatial-structure information and classifier-based clustering
    • Sep.
    • X. Cao, B. Wu, D. Tao, and L. Jiao, "Automatic band selection using spatial-structure information and classifier-based clustering, " IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 9, no. 9, pp. 4352-4360, Sep. 2016.
    • (2016) IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. , vol.9 , Issue.9 , pp. 4352-4360
    • Cao, X.1    Wu, B.2    Tao, D.3    Jiao, L.4
  • 23
    • 84947030156 scopus 로고    scopus 로고
    • Unsupervised hyperspectral band selection by dominant set extraction
    • Jan.
    • G. Zhu, Y. Huang, J. Lei, Z. Bi, and F. Xu, "Unsupervised hyperspectral band selection by dominant set extraction, " IEEE Trans. Geosci. Remote Sens., vol. 54, no. 1, pp. 227-239, Jan. 2016.
    • (2016) IEEE Trans. Geosci. Remote Sens. , vol.54 , Issue.1 , pp. 227-239
    • Zhu, G.1    Huang, Y.2    Lei, J.3    Bi, Z.4    Xu, F.5
  • 24
    • 85011976703 scopus 로고    scopus 로고
    • Discovering diverse subset for unsupervised hyperspectral band selection
    • Jan.
    • Y. Yuan, X. Zheng, and X. Lu, "Discovering diverse subset for unsupervised hyperspectral band selection, " IEEE Trans. Image Process., vol. 26, no. 1, pp. 51-64, Jan. 2017.
    • (2017) IEEE Trans. Image Process. , vol.26 , Issue.1 , pp. 51-64
    • Yuan, Y.1    Zheng, X.2    Lu, X.3
  • 25
  • 26
    • 0033224770 scopus 로고    scopus 로고
    • A joint band prioritization and band-decorrelation approach to band selection for hyperspectral image classification
    • Nov.
    • C.-I. Chang, Q. Du, T.-L. Sun, and M. L. G. Althouse, "A joint band prioritization and band-decorrelation approach to band selection for hyperspectral image classification, " IEEE Trans. Geosci. Remote Sens., vol. 37, no. 6, pp. 2631-2641, Nov. 1999.
    • (1999) IEEE Trans. Geosci. Remote Sens. , vol.37 , Issue.6 , pp. 2631-2641
    • Chang, C.-I.1    Du, Q.2    Sun, T.-L.3    Althouse, M.L.G.4
  • 27
    • 33744726231 scopus 로고    scopus 로고
    • Constrained band selection for hyperspectral imagery
    • Jun.
    • C.-I. Chang and S. Wang, "Constrained band selection for hyperspectral imagery, " IEEE Trans. Geosci. Remote Sens., vol. 44, no. 6, pp. 1575-1585, Jun. 2006.
    • (2006) IEEE Trans. Geosci. Remote Sens. , vol.44 , Issue.6 , pp. 1575-1585
    • Chang, C.-I.1    Wang, S.2
  • 29
    • 84947033565 scopus 로고    scopus 로고
    • A novel ranking-based clustering approach for hyperspectral band selection
    • Jan.
    • S. Jia, G. Tang, J. Zhu, and Q. Li, "A novel ranking-based clustering approach for hyperspectral band selection, " IEEE Trans. Geosci. Remote Sens., vol. 54, no. 1, pp. 88-102, Jan. 2016.
    • (2016) IEEE Trans. Geosci. Remote Sens. , vol.54 , Issue.1 , pp. 88-102
    • Jia, S.1    Tang, G.2    Zhu, J.3    Li, Q.4
  • 30
    • 85007504732 scopus 로고    scopus 로고
    • Squaring weighted lowrank subspace clustering for hyperspectral image band selection
    • Jul.
    • H. Zhai, H. Zhang, L. Zhang, and P. Li, "Squaring weighted lowrank subspace clustering for hyperspectral image band selection, " in Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), Jul. 2016, pp. 2434-2437.
    • (2016) Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS) , pp. 2434-2437
    • Zhai, H.1    Zhang, H.2    Zhang, L.3    Li, P.4
  • 31
    • 84943635365 scopus 로고    scopus 로고
    • Dual-clustering-based hyperspectral band selection by contextual analysis
    • Mar.
    • Y. Yuan, J. Lin, and Q. Wang, "Dual-clustering-based hyperspectral band selection by contextual analysis, " IEEE Trans. Geosci. Remote Sens., vol. 54, no. 3, pp. 1431-1445, Mar. 2016.
    • (2016) IEEE Trans. Geosci. Remote Sens. , vol.54 , Issue.3 , pp. 1431-1445
    • Yuan, Y.1    Lin, J.2    Wang, Q.3
  • 32
    • 84861735806 scopus 로고    scopus 로고
    • Unsupervised band selection for hyperspectral imagery classification without manual band removal
    • Apr.
    • S. Jia, Z. Ji, Y. Qian, and L. Shen, "Unsupervised band selection for hyperspectral imagery classification without manual band removal, " IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 5, no. 2, pp. 531-543, Apr. 2012.
    • (2012) IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. , vol.5 , Issue.2 , pp. 531-543
    • Jia, S.1    Ji, Z.2    Qian, Y.3    Shen, L.4
  • 33
    • 84864689119 scopus 로고    scopus 로고
    • Hyperspectral band clustering and band selection for urban land cover classification
    • H. Su and Q. Du, "Hyperspectral band clustering and band selection for urban land cover classification, " Geocarto Int., vol. 27, no. 5, pp. 395-411, 2012.
    • (2012) Geocarto Int. , vol.27 , Issue.5 , pp. 395-411
    • Su, H.1    Du, Q.2
  • 34
    • 84902104255 scopus 로고    scopus 로고
    • A fast volume-gradient-based band selection method for hyperspectral image
    • Nov.
    • X. Geng, K. Sun, L. Ji, and Y. Zhao, "A fast volume-gradient-based band selection method for hyperspectral image, " IEEE Trans. Geosci. Remote Sens., vol. 52, no. 11, pp. 7111-7119, Nov. 2014.
    • (2014) IEEE Trans. Geosci. Remote Sens. , vol.52 , Issue.11 , pp. 7111-7119
    • Geng, X.1    Sun, K.2    Ji, L.3    Zhao, Y.4
  • 35
    • 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
  • 36
    • 84906307287 scopus 로고    scopus 로고
    • Hyperspectral band selection by multitask sparsity pursuit
    • Feb.
    • Y. Yuan, G. Zhu, and Q. Wang, "Hyperspectral band selection by multitask sparsity pursuit, " IEEE Trans. Geosci. Remote Sens., vol. 53, no. 2, pp. 631-644, Feb. 2015.
    • (2015) IEEE Trans. Geosci. Remote Sens. , vol.53 , Issue.2 , pp. 631-644
    • Yuan, Y.1    Zhu, G.2    Wang, Q.3
  • 37
    • 84981724952 scopus 로고    scopus 로고
    • Firefly-algorithm-inspired framework with band selection and extreme learning machine for hyperspectral image classification
    • Jan.
    • H. Su, Y. Cai, and Q. Du, "Firefly-algorithm-inspired framework with band selection and extreme learning machine for hyperspectral image classification, " IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 10, no. 1, pp. 309-320, Jan. 2017.
    • (2017) IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. , vol.10 , Issue.1 , pp. 309-320
    • Su, H.1    Cai, Y.2    Du, Q.3
  • 38
    • 33747766150 scopus 로고
    • Application of dynamic programming to routing problems
    • Nov.
    • R. P. Jefferis and K. A. Fegley, "Application of dynamic programming to routing problems, " IEEE Trans. Syst. Sci. Cybern., vol. SSC-1, no. 1, pp. 21-26, Nov. 1965.
    • (1965) IEEE Trans. Syst. Sci. Cybern. , vol.SSC-1 , Issue.1 , pp. 21-26
    • Jefferis, R.P.1    Fegley, K.A.2
  • 39
    • 2942716306 scopus 로고
    • Dynamic programming with reduced computational requirements
    • Apr.
    • R. Larson, "Dynamic programming with reduced computational requirements, " IEEE Trans. Autom. Control, vol. AC-10, no. 2, pp. 135-143, Apr. 1965.
    • (1965) IEEE Trans. Autom. Control , vol.AC-10 , Issue.2 , pp. 135-143
    • Larson, R.1
  • 40
    • 85044180101 scopus 로고    scopus 로고
    • Cluster sparsity field: An internal hyperspectral imagery prior for reconstruction
    • L. Zhang, W. Wei, Y. Zhang, C. Shen, A. van den Hengel, and Q. Shi, "Cluster sparsity field: An internal hyperspectral imagery prior for reconstruction, " Int. J. Comput. Vis., no. 11, pp. 1-25, 2018, doi: 10. 1007/s11263-018-1080-8.
    • (2018) Int. J. Comput. Vis. , Issue.11 , pp. 1-25
    • Zhang, L.1    Wei, W.2    Zhang, Y.3    Shen, C.4    Van Den Hengel, A.5    Shi, Q.6
  • 41
    • 85028500180 scopus 로고    scopus 로고
    • Structured sparse coding-based hyperspectral imagery denoising with intracluster filtering
    • Dec.
    • W. Wei, L. Zhang, C. Tian, A. Plaza, and Y. Zhang, "Structured sparse coding-based hyperspectral imagery denoising with intracluster filtering, " IEEE Trans. Geosci. Remote Sens., vol. 55, no. 12, pp. 6860-6876, Dec. 2017.
    • (2017) IEEE Trans. Geosci. Remote Sens. , vol.55 , Issue.12 , pp. 6860-6876
    • Wei, W.1    Zhang, L.2    Tian, C.3    Plaza, A.4    Zhang, Y.5
  • 43
    • 0034244751 scopus 로고    scopus 로고
    • Normalized cuts and image segmentation
    • Aug.
    • J. Shi and J. Malik, "Normalized cuts and image segmentation, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 8, pp. 888-905, Aug. 2000.
    • (2000) IEEE Trans. Pattern Anal. Mach. Intell. , vol.22 , Issue.8 , pp. 888-905
    • Shi, J.1    Malik, J.2
  • 46
    • 84926662675 scopus 로고
    • Nearest neighbor pattern classification
    • Jan.
    • T. Cover and P. Hart, "Nearest neighbor pattern classification, " IEEE Trans. Inf. Theory, vol. IT-13, no. 1, pp. 21-27, Jan. 1967.
    • (1967) IEEE Trans. Inf. Theory , vol.IT-13 , Issue.1 , pp. 21-27
    • Cover, T.1    Hart, P.2
  • 47
    • 61349199062 scopus 로고    scopus 로고
    • Classification of hyperspectral images with regularized linear discriminant analysis
    • Mar.
    • T. V. Bandos, L. Bruzzone, and G. Camps-Valls, "Classification of hyperspectral images with regularized linear discriminant analysis, " IEEE Trans. Geosci. Remote Sens., vol. 47, no. 3, pp. 862-873, Mar. 2009.
    • (2009) IEEE Trans. Geosci. Remote Sens. , vol.47 , Issue.3 , pp. 862-873
    • Bandos, T.V.1    Bruzzone, L.2    Camps-Valls, G.3
  • 48
    • 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
  • 49
    • 84896314121 scopus 로고    scopus 로고
    • Spectralâ spatial hyperspectral image classification with edge-preserving filtering
    • May
    • X. Kang, S. Li, and J. A. Benediktsson, "Spectralâ"spatial hyperspectral image classification with edge-preserving filtering, " IEEE Trans. Geosci. Remote Sens., vol. 52, no. 5, pp. 2666-2677, May 2014.
    • (2014) IEEE Trans. Geosci. Remote Sens. , vol.52 , Issue.5 , pp. 2666-2677
    • Kang, X.1    Li, S.2    Benediktsson, J.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.