Information-Processed Matched Filters for Hyperspectral Target Detection and Classification

Hyperspectral Data Exploitation: Theory and Applications

Volumn , Issue , 2006, Pages 47-74

  Chang, Chein I ^a  

^a Baltimore County   (United States)

Author keywords

HYDICE data after low signal high noise bands; Information processed matched filters; Orthogonal subspace projection (OSP) based approach

Indexed keywords

EID: 84889824602     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9780470124628.ch3     Document Type: Chapter

References (15)

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2. T. M. Tu, C.-H. Chen, and C.-I Chang, A posteriori least squares orthogonal subspace projection approach to weak signature extraction and detection, IEEE Transactions on Geoscience and Remote Sensing, vol. 35, no. 1, pp. 127-139, 1997.
3. C.-I Chang, X. Zhao, M. L. G. Althouse, and J.-J. Pan, Least squares subspace projection approach to mixed pixel classification in hyperspectral images, IEEE Transactions on Geoscience and Remote Sensing, vol. 36, no. 3, pp. 898-912, 1998.
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5. J. C. Harsanyi, Detection and Classification of Subpixel Spectral Signatures in Hyperspectral Image Sequences, Department of Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD, August 1993.
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7. I.S. Reed and X. Yu, Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution, IEEE Transactions on Acoustic, Speech and Signal Process., vol. 38, no. 10, pp. 1760-1770, 1990.
8. C.-I Chang, Orthogonal subspace projection revisited: A comprehensive study and analysis, IEEE Transactions on Geoscience and Remote Sensing, vol. 43, no. 3, pp. 502-518, 2005.
9. H. V. Poor, An Introduction to Detection and Estimation Theory, 2nd edition, Springer-Verlag, New York, 1994.
10. C.-I Chang, Hyperspectral Imaging: Techniques for Spectral Detection and Classification, Kluwer/Plenum Academic Publishers, New York, 2003.
11. J.J. Settle, On the relationship between spectral unmixing and subspace projection, IEEE Transactions on Geoscience and Remote Sensing, vol. 34, no. 4, pp. 1045-1046, 1996.
12. C.-I Chang, Further results on relationship between spectral unmixing and subspace projection, IEEE Transactions on Geoscience and Remote Sensing, vol. 36, no. 3, pp. 1030-1032, 1998.
13. C.-I Chang, S.-S. Chiang, and I. W. Ginsberg, Anomaly detection in hyperspectral imagery, SPIE Conference on Geo-Spatial Image and Data Exploitation II, Orlando, Florida, 20-24 April, 2001.
14. C.-I Chang and D. Heinz, Subpixel spectral detection for remotely sensed images, IEEE Transactions on Geoscience and Remote Sensing, vol. 38, no. 3, pp. 1144-1159, 2000.
15. C.-I Chang and H. Ren, An experiment-based quantitative and comparative analysis of hyperspectral target detection and image classification algorithms, IEEE Transactions on Geoscience and Remote Sensing, vol. 38, no. 2, pp. 1044-1063, 2000.