[1] |
WANG K, QU H M. Anomaly detection method based on improved minimum noise fraction transformation[J]. Laser Technology, 2015, 39(3):381-385(in Chinese). |
[2] |
KONG X B, SHU N, GONG Y, et al. Integration of spatial-spectral information based endmember extraction for hyperspectral image[J]. Spectroscopy and Spectral Analysis, 2013, 33(6):1647-1652(in Chinese). |
[3] |
YANG J. Unmixing pixels in hyperspectral/multispectral image[D]. Wuhan: Huazhong University of Science & Technology, 2011: 8-10(in Chinese). |
[4] |
BOARDMAN J W, KRUSE F A, GREEN R O. Mapping target signatures via partial unmixing of AVIRIS data[C]//NASA Summaries of the Fifth Annual JPL Airborne Earth Science Workshop. Washington DC, USA: NASA, 1995: 23-26. |
[5] |
WINTER E M. N-FINDER:an algorithm for fast autonomous spectral endmember determination in hyperspectral data[J]. Proceedings of the SPIE, 1999, 3753:266-275. doi: 10.1117/12.366289 |
[6] |
CHANG Ch N, WU Ch Ch, LIU W M, et al. A new growing method for simplex-based endmember extraction algorithm[J]. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44(10):2804-2819. doi: 10.1109/TGRS.2006.881803 |
[7] |
NEVILLE R A, STAENZ K, SZEREDI T, et al. Automatic endmember extraction from hyperspectral data for mineral exploration[J]. Proceedings of the Canadian Symposium on Remote Sensing, 1999(6):21-24. |
[8] |
XU H. The new method for decomposition of mixed pixels in remote sensing images and its applications research[D]. Beijing: Capital Normal University, 2013: 28-32(in Chinese). |
[9] |
PLAZA A, MARTINEZ P, PEREZ R, et al. Spatial/spectral endmember extraction by multidimensional morphological operations[J]. IEEE Geoscience and Remote Sensing, 2002, 40(9):2025-2041. doi: 10.1109/TGRS.2002.802494 |
[10] |
WU H. The research of endmember extraction from hyperspectral image based on mathematic morphology[D]. Chengdu: Chengdu University of Technology, 2011: 32-37(in Chinese). |
[11] |
OTSU N. A threshold selection method from gray-level histogram[J]. IEEE Transactions on Systems, Man and Cybernetics, 1979, 9(1):62-66. doi: 10.1109/TSMC.1979.4310076 |
[12] |
WANG Y, LIANG N, GUO L. A hyperspectral remote sensing image endmember exraction algorithm based on modified exrended-morphological operator[J]. Acta Photonica Sinica, 2012, 41(6):672-677(in Chinese). doi: 10.3788/gzxb |
[13] |
WU B, ZHANG L P, LI P X. Unsupervised orthogonal subspace projection approach to unmix hyperspectral imagery automatically[J]. Journal of Image and Graphics, 2004, 9(11):1392-1396(in Chinese). |
[14] |
CHANG Ch N, 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. doi: 10.1109/TGRS.2003.819189 |
[15] |
WANG M Zh. Researches on several critical problems of hyperspectral remote sensing image processing and geologic application[D]. Chengdu: Chengdu University of Technology, 2014: 41-48(in Chinese). |