自动化技术、电信技术 |
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非监督的高光谱混合像元非线性分解方法 |
厉小润1, 伍小明1, 赵辽英2 |
1.浙江大学 电气工程学院,浙江 杭州 310027; 2.杭州电子科技大学 计算机应用技术研究所,浙江 杭州 310018 |
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Unsupervised nonlinear decomposing method of
hyperspectral imagery |
LI Xiao-run1, WU Xiao-ming1, ZHAO Liao-ying2 |
1. College of Electrical Engineering,Zhejiang University,Hangzhou 310027, China; 2. Institute of Computer
Application Technology, Hangzhou Dianzi University, Hangzhou 310018, China |
[1] 陶雪涛,王斌,张立明.基于NMF的遥感图像混合像元分解新方法[J].信息与电子工程,2008,6(1): 34-39.
TAO Xuetao, WANG Bin, ZHANG Liming. New scheme for decomposition of mixed pixels of remote sensing images based on nonnegative matrix factorization [J]. Information and Electronic Engineering, 2008, 6(1): 34-39.
[2] KWON H, NASRABADI N M. Kernel orthogonal subspace projection for hyperspectral signal classification [J]. Geoscience and Remote Sensing, 2005, 43(12): 2952-2962.
[3] 童庆禧,张兵,郑兰芬.高光谱遥感:原理、技术与应用[M].北京:高等教育出版社,2006: 255-262.
[4] SJOHN S T, NELLO C. Kernel methods for pattern analysis [M]. Beijing: China Machine Press, 2005: 15-27.
[5] 吴波,张良培,李平湘.基于支撑向量回归的高光谱混合像元非线性分解[J].遥感学报,2006,10(3): 312-318.
WU Bo, ZHANG Liangpei, LI Pingxiang. Unmixing hyperspectral imagery based on support vector nonlinear approximating regression [J]. Journal of Remote Sensing, 2006, 10(3): 312-318.
[6] 贾森.非监督的高光谱图像解混技术研究[D].杭州:浙江大学,2007.
JIA Sen. Unsupervised hyperspectral unmixing theory and techniques [D]. Hangzhou: Zhejiang University, 2007.
[7] LEE D D, SEUNG H S. Algorithms for nonnegative matrix factorization [J]. Advances in Neural Information Processing Systems, 2001, 3(13): 556-562.
[8] PAURA V P, PIPER J, PLEMMONS R J. Nonnegative matrix factorization for spectral data analysis [J]. Linear Algebra Applications,2006, 416(1): 29-47.
[9] TAO Xuetao,WANG Bin, ZHANG Liming, et al. A new scheme for decomposition of mixed pixels based on nonnegative matrix factorization [C]∥ International Conference on Geoscience and Remote Sensing Symposium. Barcelona: IEEE, 2007: 1759-1762.
[10] MIAO L D, QI H R. Endmember extraction from highly mixed data using minimum volumn constrained nonnegative matrix factorization [J]. IEEE Transactions on Geoscience and Remote Sensing,2007, 45(3): 765-777.
[11] ZHANG Daoqiang, ZHOU Zhihua, CHEN Songcan. Nonnegative matrix factorization on kernels [C]∥ 9th Pacific Rim International Conference on Artificial Intelligence. Guilin, China: \
[s.n.\], 2006: 404-412.
[12] United States Geological Survey Spectroscopy Lab [EB/OL]. \
[2009-08-20\]. http:∥speclab.cr.usgs.gov.
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[2009-08-20\]. http:∥speclab.cr.usgs.gov/cuprite.html.
[14] CHANG C I, DU Q. Estimation of number of spectrally distinct signal sources in hyperspectral imagery [J]. IEEE Transaction on Geoscience and Remote Sensing, 2004, 42(3): 608-619.
[15] SWAYZE G. The hydrothermal and structural history of the cuprite mining district,southwestern Nevada: an integrated geological and geophysical approach [D]. Boulder: University of Colorado, 1997.
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[2009-08-20\]. http:∥www stanford.edu/~boyd/-cvx. |
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