[1] KESHAVA N,MUSTARD J F.Spectral unmixing［J］.IEEE Signal Processing Magazine,2002,19(1):44-57.

[2] PLAZA A,MARTINEZ P,PREZ R,et al.A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data［J］.IEEE Transactions on Geoscience and Remote Sensing,2004,42(3):650-663.

[3] NEVILLE R A,STAENZ K,SZEREDI T,et al.Automatic endmember extraction from hyperspectral data for mineral exploration［C］//Proceedings of 21st Canadian Symposium Remote Sensing,Ottawa.1999：21-24.

[4] JIA S,QIAN Y.Constrained nonnegative matrix factorization for hyperspectral unmixing［J］.IEEE Transactions on Geoscience and Remote Sensing,2009,47(1):161-173.

[5] BIOUCAS-DIAS J M,PLAZA A,DOBIGEON N,et al.Hyperspectral unmixing overview:geometrical,statistical,and sparse regression-based approaches［J］.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2012,5(2):354-379.

[6] BACHMANN C M,AINSWORTH T L,FUSINA R A.Exploiting manifold geometry in hyperspectral imagery［J］.IEEE Transactions on Geoscience and Remote Sensing, 2005,43(3):441-454.

[7] 刘钦龙,焦斌亮,刘立.基于改进的BP神经网络模型的遥感图像分类方法研究［J］.电光与控制, 2009,16(8):65-67.(LIU Q L,JIAO B L,LIU L.On remote sensing image classification method based on improved BP neural network model［J］.Electronics Optics & Control, 2009,16(8):65-67.)

[8] 杜培军，王小美，谭琨，等.利用流形学习进行高光谱遥感影像的降维与特征提取［J］.武汉大学学报：信息科学版, 2011,36(2):148-152.(DU P J,WANG X M, TAN K,et al.Dimensionality reduction and feature extraction from hyperspectral remote sensing imagery based on manifold learning［J］.Geomatics and Information Science of Wuhan University,2011,36(2):148-152.)

[9] CHEN Y C,CRAWFORD M M,GHOSH J.Improved nonlinear manifold learning for land cover classification via intelligent landmark selection［C］//IEEE International Conference on Geoscience and Remote Sensing Symposium,Denver,2006:545-548.

[10] MA L,CRAWFORD M M,TIAN J.Anomaly detection for hyperspectral images based on robust locally linear embedding［J］.Journal of Infrared,Millimeter,and Terahertz Waves,2010,31(6):753-762.

[11] HEYLEN,R,BURAZEROVIC D,SCHEUNDERS P.Non-linear spectral unmixing by geodesic simplex volume maximization［J］.IEEE Journal of Selected Topics in Signal Processing,2011,5(3):534-542.

[12] BELKIN M,NIYOGI P.Laplacian eigenmaps and spectral techniques for embedding and clustering［J］.Advances in Neural Information Processing Systems,2001:585-591.

[13] WANG L,ZHANG Y,FENG J.On the Euclidean distance of images［J］.IEEE Transactions on Pattern Analysis and Machine Intelligence,2005,27（8）：1334-1339.

[14] 陈宏达,普晗晔,王斌,等.基于图像欧氏距离的高光谱图像流形降维算法［J］.红外与毫米波学报，2013,32(5):450-455.(CHEN H D,PU H Y,WANG B,et al.Image Euclidean distance-based manifold dimensionality reduction algorithm for hyperspectral imagery［J］.Journal Infrared and Millimeter Waves,2013,32(5):450-455.)

[15] WINTER M E.N-FINDR:an algorithm for fast autonomous spectral endmember determination in hyperspectral data［C］//SPIEs International Symposium on Optical Science,Engineering,and Instrumentation.International Society for Optics Engineering,Denver,1999：266-275.

[16] CHANG C I,DU Q.Estimation of number of spectrally distinct signal sources in hyperspectral imagery［J］.IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(3):608-619.

[17] SWAYZE G,CLARK R N,KRUSE F,et al.Ground-tru-thing aviris mineral mapping at Cuprite,Nevada［C］//JPL publication,Summaries of the Third Annual JPL Airborne Geosciences Workshop,Volume 1:AVIRIS Workshop,1992：47-49.

[18] ZORTEA M,PLAZA A.Spatial preprocessing for endmember extraction［J］.IEEE Transactions on Geoscience and Remote Sensing,2009,47(8):2679-2693.

[19] 马丽.基于流形学习算法的高光谱图像分类和异常检测［D］.武汉：华中科技大学,2010.(MA L.Manifold learning methods for hyperspectral image classification and anomaly detection［D］.Wuhan：Huazhong University of Science and Technology,2010.)