A Small-Target Detector Based on Single Likelihood Test for Hyperspectral Imagery

[in Chinese]; [in Chinese]; [in Chinese]; [in Chinese]

Acta Optica Sinica, Volume. 27, Issue 12, 2155(2007)

[in Chinese]^1,2、*, [in Chinese]², [in Chinese]², and [in Chinese]²

Author Affiliations

¹[in Chinese]

²[in Chinese]

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References(14)

[1] [1] David Landgrebe. Hyperspectral image data analysis[J]. IEEE Signal Processing Magazine, 2002, 19(1): 17～28

[3] [3] S. M. Bergman. The utility of hyperspectral data to detect and discriminate actual and decoy target vehicles[R]. AD report A327453, 1996

[4] [4] D. Stein, Jon Schoonmaker, Eric Coolbaugh. Hyperspectral imaging for intelligence, surveillance, and reconnaissance[R]. AD report A434124, 2001

[5] [5] Capt Peterson Erin D. Surface and buried landmine scene generation and validation using the digital imaging and remote sensing image generation (DIRSIG) model[R]. AD report A424769, 2004

[6] [6] Office of the Secretary of Defense, U. S. Department of Defense. Unmanned Aircraft Systems Roadmap 2005～2030[R]. 2005. 47～59

[7] [7] X. L. Yu, I. S. Reed, A. D. Stocker. Comparative performance analysis of adaptive multispectral detectors[J]. IEEE Transactions on Signal Processing, 1993, 41(8): 2639～2656

[9] [9] C. I. Chang, S. S. Chiang. Anomaly detection and classification for hyperspectral imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2002, 40(6): 1314～1325

[10] [10] Chein-I Chang, Shao-Shan Chiang, Irving W. Ginsberg. Anomaly detection in hyperspectral imagery[C]. Proc. SPIE, 2001, 4383: 43～50

[11] [11] He Lin, Pan Quan, Zhao Yongqiang et al.. An automatic target detection algorithm for hyperspectral imagery based on feature-level fusion[C]. Proc. SPIE, 2005, 6043: 164～169

[14] [14] T. M. Cover, J. A. Thomas. Elements of Information Theory[M]. New York: Wiley-Interscience Press, 1991. 266～278

[16] [16] David B. Marden, Dimitris Manolakis. Modeling hyperspectral imaging data[C]. Proc. SPIE, 2003, 5093: 253～262

[17] [17] Dimitris Manolakis, David Marden, John Kerekes et al.. On the statistics of hyperspectral imaging data[C]. Proc. SPIE, 2001, 4381: 308～316

[18] [18] D. W. Scott. Multivariate density estimation and visualization. http:∥www.stat.rice.edu/～scottdw/multidens.ps

[19] [19] B. A. Turlach. Bandwidth selection in kernel density estimation: A review. http:∥citeseer.ist.psu.edu/214125.html

CLP Journals

[1] Liu Xiaogang, Zhao Huijie, Li Na. Feature Extraction Based on Multifractal Spectrum for Hyperspectral Data[J]. Acta Optica Sinica, 2009, 29(3): 844

[2] 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

[3] Wu Yiquan, Zhou Yang, Long Yunlin. Small Target Detection in Hyperspectral Remote Sensing Image Based on Adaptive Parameter SVM[J]. Acta Optica Sinica, 2015, 35(9): 928001

[4] Yu Bin, Chen Danni, Sun Qiang, Qu Junle, Niu Hanben. Design and Analysis of New Diffractive Optic Imaging Spectrometer[J]. Acta Optica Sinica, 2009, 29(5): 1260

[5] 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

[6] Li Na, Zhao Huijie, Jia Guorui, Dong Chao. Anomaly Detection Based on Extended Mathematical Morphology for Hyperspectral Imagery[J]. Acta Optica Sinica, 2008, 28(8): 1480

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[in Chinese], [in Chinese], [in Chinese], [in Chinese]. A Small-Target Detector Based on Single Likelihood Test for Hyperspectral Imagery[J]. Acta Optica Sinica, 2007, 27(12): 2155

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Paper Information

Category: Image Processing

Received: Nov. 29, 2006

Accepted: --

Published Online: Dec. 15, 2007

The Author Email: (herain33@gmail.com)

DOI:

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology