一种改进的基于自动形态学的端元提取算法
方俊龙, 郭宝峰, 沈宏海, 杨名宇. 一种改进的基于自动形态学的端元提取算法[J]. 激光技术, 2017, 41(1): 106.
FANG Junlong, GUO Baofeng, SHEN Honghai, YANG Mingyu. An improved endmember extraction algorithm based on automated morphology[J]. Laser Technology, 2017, 41(1): 106.
[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.
[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.
[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.
[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.
[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.
[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).
方俊龙, 郭宝峰, 沈宏海, 杨名宇. 一种改进的基于自动形态学的端元提取算法[J]. 激光技术, 2017, 41(1): 106. FANG Junlong, GUO Baofeng, SHEN Honghai, YANG Mingyu. An improved endmember extraction algorithm based on automated morphology[J]. Laser Technology, 2017, 41(1): 106.