1Chang C-I, Hsueh M. Characterization of anomaly detection for hyperspectral imagery [J]. Sensor Review,2006,26(2): 137-146.
[2]
2Reed I S, Yu X. Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution [J]. IEEE Trans. on Acoustic, Speech and Signal Process.1990,38(10): 1760-1770.
[3]
3Tarabalka Y, Haavardsholm T V, Kasen I, et al. Real-time anomaly detection in hyperspectral images using multivariate normal mixture, pdels and GPU processing [J]. J. Real Time Image Processing,2009,4(3): 287-300.
[4]
4Haavardsholm T V, Arisholm G, Kavara A, et al. Architecture of the real-time target detection processing in an airborne hyperspectral demonstrator system [C]. 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), June 2010.14-16.
[5]
5Skauli T, Haavardsholm T, Kasen I, et al. Hyperspectral imaging technology and systems, exemplified by airborne real-time target detection [C]. 2011 Conference on Lasers and Electro-Optics (CLEO), May 2011.1-6.
[6]
6Chang C-I Chiang S-S. Anomaly detection and classification for hyperspectral imagery [J].IEEE Trans. on Geoscience and Remote Sensing.2002,40(2),1314-1325.
[7]
7Kailath T, Linear Systems [M], Prentice-Hall,1980.655.
[8]
8Wang J, Chang C-I . Applications of independent component analysis in endmember extraction and abundance quantification for hyperspectral imagery [J]. IEEE Trans. on Geoscience and Remote Sensing,2006,44(9),2601-2616.
[9]
9Chang Y-C. Ren H, Chang, C-I, et al. How to design synthetic images to validate and evaluate hyperspectral imaging algorithms [C], SPIE Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV, March 16-20, Orlando, Florida, 2008.
