A review of unsupervised spectral target analysis for hyperspectral imagery

Eurasip Journal on Advances in Signal Processing

Volumn 2010, Issue , 2010, Pages

  Chang, Chein I ^a,b   Jiao, Xiaoli ^a   Wu, Chao Cheng ^a   Du, Yingzi ^c   Chang, Mann Li ^d  

^a Baltimore County   (United States)

^b NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

^c Indiana University Purdue University Indianapolis   (United States)

^d Kang Ning Junior College of Medical Care and Management   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ENDMEMBER EXTRACTION; HYPERSPECTRAL; HYPERSPECTRAL IMAGERY; LEAST SQUARES; LINEAR SPECTRAL UNMIXING; REAL IMAGES; SYNTHETIC IMAGES; TARGET ANALYSIS; TARGET DETECTION; UNSUPERVISED ALGORITHMS;

IMAGE ANALYSIS; REMOTE SENSING; TARGETS;

RADAR TARGET RECOGNITION;

EID: 77953520477     PISSN: 16876172     EISSN: 16876180     Source Type: Journal    
DOI: 10.1155/2010/503752     Document Type: Review

References (20)

1. Schewengerdt R. A., Remote Sensing: Models and Methods for Image Processing 1997 2nd Boston, Mass, USA Academic Press
2. Chang C.-I, Hyperspectral Imaging: Techniques for Spectral Detection and Classification 2003 New York, NY, USA Kluwer Academic/Plenum Publishers
3. Chang C.-I, Hsueh M., Characterization of anomaly detection in hyperspectral imagery Sensor Review 2006 26 2 137 146
4. Poor H. V., An Introduction to Signal Detection and Estimation 1994 2nd New York, NY, USA Springer
5. Ren H., Chang C.-I, Automatic spectral target recognition in hyperspectral imagery IEEE Transactions on Aerospace and Electronic Systems 2003 39 4 1232 1249
6. Chang C.-I, Heinz D., Constrained subpixel target detection for remotely sensed imagery IEEE Transactions on Geoscience and Remote Sensing 2000 38 3 1144 1159
7. Heinz D. C., Chang C.-I, Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery IEEE Transactions on Geoscience and Remote Sensing 2001 39 3 529 545
8. Harsanyi J. C., Chang C.-I, Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection approach IEEE Transactions on Geoscience and Remote Sensing 1994 32 4 779 785
9. Settle J. J., On the relationship between spectral unmixing and subspace projection IEEE Transactions on Geoscience and Remote Sensing 1996 34 4 1045 1046
10. Chang C.-I, Further results on relationship between spectral unmixing and subspace projection IEEE Transactions on Geoscience and Remote Sensing 1998 36 3 1030 1032
11. http://aviris.jpl.nasa.gov/
12. Thai B., Healey G., Invariant subpixel material detection in hyperspectral imagery IEEE Transactions on Geoscience and Remote Sensing 2002 40 3 599 608
13. Boardman J. W., Geometric mixture analysis of imaging spectrometery data Proceedings of the International Geoscience and Remote Sensing Symposium 1994 4 2369 2371
14. Winter M. E., N-finder: an algorithm for fast autonomous spectral endmember determination in hyperspectral data 3753 Image Spectrometry V 1999 266 277 Proceedings of the SPIE
15. Green A. A., Berman M., Switzer P., Craig M. D., A transformation for ordering multispectral data in terms of image quality with implications for noise removal IEEE Transactions on Geoscience and Remote Sensing 1988 26 1 65 74
16. Wu C.-C., Lo C. S., Chang C.-I, Improved process for use of a simplex growing algorithm for endmember extraction IEEE Geoscience and Remote Sensing Letters 2009 6 3 523 527
17. Chang C.-I, Target signature-constrained mixed pixel classification for hyperspectral imagery IEEE Transactions on Geoscience and Remote Sensing 2002 40 5 1065 1081
18. Reed I. S., Yu X., Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution IEEE Transactions on Acoustics, Speech, and Signal Processing 1990 38 10 1760 1770
19. Chang C.-I, Zhao X.-L., Althouse M. L. G., Pan J. J., Least squares subspace projection approach to mixed pixel classification for hyperspectral images IEEE Transactions on Geoscience and Remote Sensing 1998 36 3 898 912
20. Chang C.-I, Wu C., Liu W., Ouyang Y. C., A growing method for simplex-based endmember extraction algorithms IEEE Transactions on Geoscience and Remote Sensing 2006 44 10 2804 2819