[1] YI C,NASRABADI N M,TRAN T D.Sparse representation for target detection in hyperspectral imagery［J］.IEEE Journal of Selected Topics in Signal Processing,2011,5(3):629-640.

[2] YI C,NASRABADI N M,TRAN T D.Simultaneous joint sparsity model for target detection in hyperspectral imagery［J］.IEEE Geoscience & Remote Sensing Letters,2011,8(4):676-680.

[4] FANG L,LI S,KANG X,et al.Spectral-spatial hyperspectral image classification via multiscale adaptive sparse representation［J］.IEEE Transactions on Geoscience and Remote Sensing,2014,52(12):7738-7749.

[5] ZHANG H,LI J,HUANG Y,et al.A nonlocal weighted joint sparse representation classification method for hyperspectral imagery［J］.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2014,7(6):2056-2065.

[6] ZOU J,LI W,DU Q.Sparse representation-based nearest neighbor classifiers for hyperspectral imagery［J］.IEEE Geoscience & Remote Sensing Letters,2015,12(12):2418-2422.

[7] SUN W,ZHANG L,ZHANG L,et al.A dissimilarity-weighted sparse self-representation method for band selection in hyperspectral imagery classification［J］.IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing,2016,9(9):1-15.

[8] KANG X D,LI S T,BENEDIKTSSON J A.Spectral-spatial hyperspectral image classification with edge-preserving filtering［J］.IEEE Transactions on Geoscience & Remote Sensing,2014,52(5):2666-2677.

[10] TOMASI C,MANDUCHI R.Bilateral filtering for gray and color images［C］//International Conference on Computer Vision,1998: 839-846.

[11] KRUSE F A,LEFKOFF A B,BOARDMAN J W,et al.The spectral image processing system (SIPS)-interactive visualization and analysis of imaging spectrometer data［J］.Remote Sensing of Environment,1993,44(2):145-163.

[12] WANG Y,HUANG S,LIU D,et al.A novel band selection method based on curve area and genetic theory［J］.Journal of Optics,2014,43(3):193-202.