红外与毫米波学报, 2012, 31 (5): 449, 网络出版: 2012-10-18   

端元匹配的遥感影像地物自适应光谱表征

Adaptive spectral representation of remote sensing objects based on endmember matching
作者单位
1 中国科学院遥感应用研究所,北京 100101
2 中国科学院研究生院,北京 100049
引用该论文

乔程, 骆剑承, 沈占锋, 胡晓东, 夏列钢. 端元匹配的遥感影像地物自适应光谱表征[J]. 红外与毫米波学报, 2012, 31(5): 449.

QIAO Cheng, LUO Jian-Cheng, SHEN Zhan-Feng, HU Xiao-Dong, XIA Lie-Gang. Adaptive spectral representation of remote sensing objects based on endmember matching[J]. Journal of Infrared and Millimeter Waves, 2012, 31(5): 449.

参考文献

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[4] LUO Wen-fei, ZHONG Liang, ZHANG Bing,et al. Null space spectral projection algorithm for hyperspectral image endmember extraction[J].Journal of Infrared and Millimeter Waves(罗文斐,钟亮,张兵,等.高光谱遥感图像端元提取的零空间光谱投影算法.红外与毫米波学报),2010,29(4):307311.

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[6] PLAZA, VALENCIA D, PLAZA J. High-performance computing in remotely sensed hyperspectral imaging: the Pixel Purity Index algorithm as a case study[C].in Proc. IPDPS Symp.,2006,8.

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乔程, 骆剑承, 沈占锋, 胡晓东, 夏列钢. 端元匹配的遥感影像地物自适应光谱表征[J]. 红外与毫米波学报, 2012, 31(5): 449. QIAO Cheng, LUO Jian-Cheng, SHEN Zhan-Feng, HU Xiao-Dong, XIA Lie-Gang. Adaptive spectral representation of remote sensing objects based on endmember matching[J]. Journal of Infrared and Millimeter Waves, 2012, 31(5): 449.

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