Research of Hyperspectral Target Detection Algorithms Based on Variance Minimum

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[1] Zhao Chunhui, Qi Bin, Zhang Yi. Hyperspectral Image Classification Based on Variational Relevance Vector Machine[J]. Acta Optica Sinica, 2012, 32(8): 828004

[2] Song Lin, Cheng Yongmei, Zhao Yongqiang. Hyper-Spectrum Classification Based on Sparse Representation Model and Auto-Regressive Model[J]. Acta Optica Sinica, 2012, 32(3): 330003

[3] Shen Yi, Zhang Min, Zhang Miao. Mutual Information Bands Selection and Empirical Mode Decomposition Based Support Vector Machines for Hyperspectral Data High-Accuracy Classification[J]. Laser & Optoelectronics Progress, 2011, 48(9): 91001

[4] Wu Chao, Wu Yiquan. Target Detection in Hyperspectral Image Using Projection Pursuit Based on Chaotic Particle Swarm Optimization[J]. Acta Optica Sinica, 2011, 31(12): 1211003

[5] Zhang Xiubao, Yuan Yan, Wang Qian. Spectral Discrimination Method Based on Information Divergence of Gradient[J]. Acta Optica Sinica, 2011, 31(5): 530001

[6] Zhao Liaoying, Shen Yinhe, Li Xiaorun, Cui Jiantao. Composite Kernel Target Detection Based on Mathematical Morphology for Hyperspectral Imagery[J]. Acta Optica Sinica, 2011, 31(12): 1228003

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Li Shanshan, Zhang Bing, Gao Lianru, Peng Man. Research of Hyperspectral Target Detection Algorithms Based on Variance Minimum[J]. Acta Optica Sinica, 2010, 30(7): 2116

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Paper Information

Category: Remote Sensing and Sensors

Received: Jul. 2, 2009

Accepted: --

Published Online: Jul. 13, 2010

The Author Email: Shanshan Li (ssli@irsa.ac.cn)

DOI:10.3788/aos20103007.2116

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laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology