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Volumn 52, Issue , 2016, Pages 275-283

Generalization of spectral fidelity with flexible measures for the sparse representation classification of hyperspectral images

Author keywords

Hyperspectral image; Sparse representation classification; Spectral similarity measures; Unified framework

Indexed keywords

IMAGE CLASSIFICATION; OPTIMIZATION; SPECTRAL ANALYSIS;

EID: 84997719738     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2016.06.006     Document Type: Article
Times cited : (6)

References (19)
  • 1
    • 0034248782 scopus 로고    scopus 로고
    • An information-theoretic approach to spectral variability, similarity, and discrimination for hyperspectral image analysis
    • Chang, C., An information-theoretic approach to spectral variability, similarity, and discrimination for hyperspectral image analysis. IEEE Trans. Inf. Theory 46:5 (2000), 1927–1932.
    • (2000) IEEE Trans. Inf. Theory , vol.46 , Issue.5 , pp. 1927-1932
    • Chang, C.1
  • 2
    • 80053571096 scopus 로고    scopus 로고
    • Hyperspectral image classification using dictionary-based sparse representation
    • Chen, Y., Nasrabadi, N.M., Tran, T.D., Hyperspectral image classification using dictionary-based sparse representation. IEEE Trans. Geosci. Remote Sens. 49:10 (2011), 3973–3985.
    • (2011) IEEE Trans. Geosci. Remote Sens. , vol.49 , Issue.10 , pp. 3973-3985
    • Chen, Y.1    Nasrabadi, N.M.2    Tran, T.D.3
  • 3
    • 84871731919 scopus 로고    scopus 로고
    • Hyperspectral image classification via kernel sparse representation
    • Chen, Y., Nasrabadi, N.M., Tran, T.D., Hyperspectral image classification via kernel sparse representation. IEEE Trans. Geosci. Remote Sens. 51:1 (2013), 217–231.
    • (2013) IEEE Trans. Geosci. Remote Sens. , vol.51 , Issue.1 , pp. 217-231
    • Chen, Y.1    Nasrabadi, N.M.2    Tran, T.D.3
  • 4
    • 4644303661 scopus 로고    scopus 로고
    • New hyperspectral discrimination measure for spectral characterization
    • Du, Y., Chang, C.I., Ren, H., Chang, C., Jensen, J.O., New hyperspectral discrimination measure for spectral characterization. Opt. Eng. 43:8 (2004), 1777–1786.
    • (2004) Opt. Eng. , vol.43 , Issue.8 , pp. 1777-1786
    • Du, Y.1    Chang, C.I.2    Ren, H.3    Chang, C.4    Jensen, J.O.5
  • 5
    • 84903278535 scopus 로고    scopus 로고
    • Spectral-spatial hyperspectral image classification via multiscale adaptive sparse representation
    • Fang, L., Li, S., Kang, X., Benediktsson, J., Spectral-spatial hyperspectral image classification via multiscale adaptive sparse representation. IEEE Trans. Geosci. Remote Sens. 52:12 (2014), 7606–7618.
    • (2014) IEEE Trans. Geosci. Remote Sens. , vol.52 , Issue.12 , pp. 7606-7618
    • Fang, L.1    Li, S.2    Kang, X.3    Benediktsson, J.4
  • 6
    • 3042661357 scopus 로고    scopus 로고
    • Thematic map comparison: evaluating the statistical significance of differences in classification accuracy
    • Foody, G.M., Thematic map comparison: evaluating the statistical significance of differences in classification accuracy. Photogramm. Eng. Remote Sens. 70:5 (2004), 627–633.
    • (2004) Photogramm. Eng. Remote Sens. , vol.70 , Issue.5 , pp. 627-633
    • Foody, G.M.1
  • 7
    • 14644421528 scopus 로고    scopus 로고
    • Investigation of the random forest framework for classification hyperspectral data
    • Ham, J., Chen, Y., Crawford, M.M., Ghosh, J., Investigation of the random forest framework for classification hyperspectral data. IEEE Trans. Geosci Remote Sens. 43:3 (2005), 492–501.
    • (2005) IEEE Trans. Geosci Remote Sens. , vol.43 , Issue.3 , pp. 492-501
    • Ham, J.1    Chen, Y.2    Crawford, M.M.3    Ghosh, J.4
  • 8
    • 84890123096 scopus 로고    scopus 로고
    • Spatial-spectral kernel sparse representation for hyperspectral image classification
    • Liu, J., Wu, Z., Wei, Z., Xiao, L., Sun, L., Spatial-spectral kernel sparse representation for hyperspectral image classification. IEEE Sel. Top. Appl. Earth Obs. 6:6 (2013), 2462–2471.
    • (2013) IEEE Sel. Top. Appl. Earth Obs. , vol.6 , Issue.6 , pp. 2462-2471
    • Liu, J.1    Wu, Z.2    Wei, Z.3    Xiao, L.4    Sun, L.5
  • 9
    • 34047163965 scopus 로고    scopus 로고
    • Comparative assessment of the measures of thematic classification accuracy
    • Liu, C., Comparative assessment of the measures of thematic classification accuracy. Remote Sens. Environ. 107 (2007), 606–616.
    • (2007) Remote Sens. Environ. , vol.107 , pp. 606-616
    • Liu, C.1
  • 10
    • 0029291966 scopus 로고
    • Sparse approximate solutions to linear systems
    • Natarajan, B.K., Sparse approximate solutions to linear systems. SIAM J. Comput. 24 (1995), 227–234.
    • (1995) SIAM J. Comput. , vol.24 , pp. 227-234
    • Natarajan, B.K.1
  • 11
    • 79956324768 scopus 로고    scopus 로고
    • Death to Kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment
    • Pontius, R., Millones, M., Death to Kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment. Int. J Remote Sens. 32 (2011), 4407–4429.
    • (2011) Int. J Remote Sens. , vol.32 , pp. 4407-4429
    • Pontius, R.1    Millones, M.2
  • 13
    • 84903270810 scopus 로고    scopus 로고
    • Manifold- based sparse representation for hyperspectral image classification
    • Tang, Y., Yan, H., Li, L., Manifold- based sparse representation for hyperspectral image classification. IEEE Trans. Geosci. Remote Sens. 52:12 (2014), 7738–7749.
    • (2014) IEEE Trans. Geosci. Remote Sens. , vol.52 , Issue.12 , pp. 7738-7749
    • Tang, Y.1    Yan, H.2    Li, L.3
  • 14
    • 31044447641 scopus 로고    scopus 로고
    • The effectiveness of spectral similarity measures for the analysis of hyperspectral imagery
    • Van Der Meer, F., The effectiveness of spectral similarity measures for the analysis of hyperspectral imagery. Int. J. Appl. Earth Obs. Geoinf. 8:1 (2006), 3–17.
    • (2006) Int. J. Appl. Earth Obs. Geoinf. , vol.8 , Issue.1 , pp. 3-17
    • Van Der Meer, F.1
  • 15
    • 1942436689 scopus 로고    scopus 로고
    • Image quality assessment: from error visibility to structural similarity
    • Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P., Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13:4 (2004), 600–612.
    • (2004) IEEE Trans. Image Process. , vol.13 , Issue.4 , pp. 600-612
    • Wang, Z.1    Bovik, A.C.2    Sheikh, H.R.3    Simoncelli, E.P.4
  • 16
    • 84896315238 scopus 로고    scopus 로고
    • Feature selection via Cramer's V-test discretization for remote sensing image classification
    • Wu, B., Zhang, L., Zhao, Y., Feature selection via Cramer's V-test discretization for remote sensing image classification. IEEE Trans. Geosci Remote Sens. 52:5 (2014), 2593–2606.
    • (2014) IEEE Trans. Geosci Remote Sens. , vol.52 , Issue.5 , pp. 2593-2606
    • Wu, B.1    Zhang, L.2    Zhao, Y.3
  • 18
    • 84888286393 scopus 로고    scopus 로고
    • Improving hyperspectral image classification using spectral information divergence
    • Zhang, E., Zhang, X., Yang, S., Improving hyperspectral image classification using spectral information divergence. IEEE Geosci. Remote Sens. Lett. 11:1 (2014), 249–253.
    • (2014) IEEE Geosci. Remote Sens. Lett. , vol.11 , Issue.1 , pp. 249-253
    • Zhang, E.1    Zhang, X.2    Yang, S.3
  • 19
    • 84905922593 scopus 로고    scopus 로고
    • A nonlocal weighted joint sparse representation classification method for hyperspectral imagery
    • Zhang, H., Li, J., Huang, Y., Zhang, L., A nonlocal weighted joint sparse representation classification method for hyperspectral imagery. IEEE Sel. Top. Appl. Earth Obs. 7:6 (2014), 2057–2066.
    • (2014) IEEE Sel. Top. Appl. Earth Obs. , vol.7 , Issue.6 , pp. 2057-2066
    • Zhang, H.1    Li, J.2    Huang, Y.3    Zhang, L.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.