Unmixing component analysis for anomaly detection in hyperspectral imagery

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2006, Pages 965-968

  Yanfeng, Gu ^a   Ye, Zhang ^a   Ying, Liu ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Anomaly detection; Hyperspectral images; Kernel principal component analysis; Spectral unmixing

Indexed keywords

ANOMALY DETECTION; AVIRIS DATA; COMPONENT ANALYSIS; DETECTION PERFORMANCE; ENDMEMBERS; ERROR DATA; FALSE ALARMS; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL IMAGERY; KERNEL PRINCIPAL COMPONENT ANALYSIS; NON-LINEAR; NONGAUSSIANITY; NUMERICAL EXPERIMENTS; RX ALGORITHM; RX DETECTORS; SPECTRAL UNMIXING; UNMIXING;

ALGORITHMS; DETECTORS; IMAGE PROCESSING; IMAGING SYSTEMS; REMOTE SENSING;

PRINCIPAL COMPONENT ANALYSIS;

EID: 77955300165     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2006.312648     Document Type: Conference Paper

References (8)

1. D.Manolakis and G.Shaw, "Detection Algorithms for Hyperspectral Imaging Applications," IEEE Signal Processing Magazine, pp.29-43, Jan 2002
2. S.M. Schweizer, J.M.F. Moura, "Hyperspectral Imagery: Clutter Adaptation in Anomaly Detection," IEEE Tran. On Information Theory, 46(5), pp. 1855-1871, Aug 2000
3. Chein-I Chang, and Shao-Shan Chiang, "Anomaly Detection and Classification for Hyperspectral Imagery," IEEE Trans. Geosci. Remote Sensing, 40(6), pp.1314-1325, Jun 2002
4. I.S. Reed and X. Yu, "Adaptive multiband CFAR detection of an optical pattern with unknown spectral distribution," IEEE Transactions Acoustics, Speech, and Signal Processing, 38(10), pp. 1760-766, Oct 1990
5. H.Kwon and N.M.Nasrabidi, "Kernel RX algorithm: A Nonlinear Anomaly Detector for Hyperspectral Imagery," IEEE Trans. Geosci. Remote Sens., 43(2), pp. 388-397, Feb 2005
6. D.Manolakis, C.Siracusa and G.Shaw, "Hypperspectral Subpixel Target Detection Using the Linear Mixing Model," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 7, pp. 1392-1409, July 2001
7. Qian Du and C.-I Chang, "Linear Mixture Analysis-based Compression for Hyperspectral Images Analysi," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 4, pp. 875-891, April 2004
8. B.Schökopf, A.J.Smola, and K-R.Müller, "Nonliear Component Analysis as A Kernel Eigenvalue Problem," Neural Comput, Vol.10, pp.1299-1319, 1998