Algorithm on small target detection based on principal component of hyperspectral imagery

Hongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves

Volumn 23, Issue 4, 2004, Pages 286-290

  Li, Zhi Yong ^a   Kuang, Gang Yao ^a   Yu, Wen Xian ^a   Xue, Qi ^a  

^a NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

Author keywords

Hyper plane; Hyperspectra; Principal component analysis; Target detection

Indexed keywords

ALGORITHMS; ESTIMATION; INDEPENDENT COMPONENT ANALYSIS; OBJECT RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; TOPOLOGY;

HYPERSPECTRAL IMAGERY; TARGET DETECTION;

IMAGE PROCESSING;

EID: 7244229867     PISSN: 10019014     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (10)

1. Marcus Staves Stefanou, Richard c Olsen, Herschel H Loomis. Signal Perspectives of Hyperspectral Imagery Analysis Techniques [R], 1998, AD-A333 254.
2. Dimitris Manolakis, Chrisitina Siracusa, David Marden, et al. Hyperspectral adaptive matched filter detectors: Practical performance comparison [J]. SPIE, 2001, 4381: 18-33.
3. Joseph C Harsanyi, CheinI Chang. Hyperspectral image classifacation and dimensionality reduction: An orthogonal subspace projection approach [J]. IEEE Trails. On Geoscience and Remote sensing, 1994, 32(4): 779-785.
4. Schaum A. Spectral subspace matched filtering [J]. SPIE, 2001, 4381: 1-17.
5. David Gillis, Peter Palmadesso, Jeffrey Bowles. An automatic target recognition system for hyperspectral imagery using ORASIS [J]. SPIE, 2001, 4381: 34-43.
6. Manolakis D, Shaw G. Detection algorithms for hyperspectral imaging applications [J]. IEEE Signal Processing Magazine, 2002, 19(7): 29-43.
7. Peter j Verveer, Robert P W Duin. An evaluation of intrinsic dimensionality estimators [J]. IEEE Trans. On Pattern Analysis and Machine Intelligence, 1995, 17(1): 81-85.
8. Bruske J, Sommer G. Intrinsic dimensionality estimation with optimally topology preserving maps [J]. IEEE Trans. On Pattern Analysis and Machine Intelligence, 1998, 20(5): 572-575.
9. HU Guo-Ding, ZHANG Run-Chu. Multivariate Data Analysis [M]. Tianjin: NanKai university press, 1990.
10. XUE Yong-Qi, WANG Jian-Yu. Operative Modular Imaging Spectrometer. Development of Information Acquisition and Processing Technology [M]. Beijing: China Timbering Industrial Publishing House, 1998, 43-46.