Progressive band selection for satellite hyperspectral data compression and transmission

Journal of Applied Remote Sensing

Volumn 4, Issue 1, 2010, Pages

  Fisher, Kevin ^a   Chang, Chein I ^b  

^a NASA GODDARD SPACE FLIGHT CENTER   (United States)

^b UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

Author keywords

Backward progressive band selection (BPBS); Forward progressive band selection (FPBS); Progressive band selection; Virtual dimensionality (VD)

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA TRANSFER; LAND USE; NASA; SATELLITE COMMUNICATION SYSTEMS; SATELLITES; SPECTRAL RESOLUTION;

BAND SELECTION; DATA COMPRESSION TECHNIQUES; HIGH SPECTRAL RESOLUTION; INFORMATION CONTENTS; LOWER AND UPPER BOUNDS; SATELLITE COMMUNICATIONS; SPECTRAL CORRELATION; VIRTUAL DIMENSIONALITY;

DATA COMPRESSION;

EID: 80054993219     PISSN: None     EISSN: 19313195     Source Type: Journal    
DOI: 10.1117/1.3502036     Document Type: Article

References (18)

1. P. W. Mausel, W. J. Kramber, and J. K. Lee, "Optimum band selection for supervised classification of multispectral data," Photogramm. Eng. Remote Sens. 56, 55-60 (1990). (Pubitemid 20646367)
2. C. Conese and F. Maselli, "Selection of optimum bands from TM scenes through mutual information analysis," ISPRS J. Photogramm. Remote Sens. 48, 2-11 (1993) [doi: 10.1016/0924-2716(93)90059-V]. (Pubitemid 24392920)
3. S. D. Stearns, B. E. Wilson, and J. R. Peterson, "Dimensionality reduction by optimal band selection for pixel classification of hyperspectral imagery," Proc. SPIE 2028, 118-127 (1993) [doi: 10.1117/12.158622].
4. C.-I Chang, Q. Du, T. S. Sun, and M. L. G. Althouse, "A joint band prioritization and band decorrelation approach to band selection for hyperspectral image classification," IEEE Trans. Geosci. Remote Sens. 37, 2631-2641 (1999) [doi: 10.1109/36.803411]. (Pubitemid 30519596)
5. R. Huang and M. He, "Band selection based feature weighting for classification of hyperspectral data," IEEE Geosci. Remote Sens. Lett. 2, 156-159 (2005) [doi: 10.1109/LGRS.2005.844658]. (Pubitemid 40680165)
6. C.-I Chang and S. Wang, "Constrained band selection for hyperspectral imagery," IEEE Trans. Geosci. Remote Sens. 44, 1575-1585 (2006) [doi: 10.1109/TGRS.2006.864389]. (Pubitemid 43824504)
7. C.-I Chang, Hyperspectral Imaging: Techniques for Spectral Detection and Classification, Kluwer Academic/Plenum Publishers, New York (2003).
8. C.-I Chang and Q. Du, "Estimation of number of spectrally distinct signal sources in hyperspectral imagery," IEEE Trans. Geosci. Remote Sens. 42, 608-619 (2004) [doi: 10.1109/TGRS.2003.819189].
9. T. Cover and J. Thomas, Elements of Information Theory, Wiley, New York (1991) [doi: 10.1002/0471200611].
10. EO-1 Hyperion image EO1H0360372003184110KW, Data available from the U.S. Geological Survey.
11. 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 Trans. Geosci. Remote Sens. 36, 898-912 (1998) [doi: 10.1109/36.673681]. (Pubitemid 128748499)
12. J. J. Settle, "On the relationship between spectral unmixing and subspace projection," IEEE Trans. Geosci. Remote Sens. 34, 1045-1046 (1996) [doi: 10.1109/36.508422]. (Pubitemid 126780952)
13. C.-I Chang, "Further results on relationship between spectral unmixing and subspace projection," IEEE Trans. Geosci. Remote Sens. 36, 1030-1032 (1998) [doi: 10.1109/36.673697]. (Pubitemid 128748515)
14. C.-I Chang and D. Heinz, "Constrained subpixel detection for remotely sensed images," IEEE Trans. Geosci. Remote Sens. 38, 1144-1159 (2000) [doi: 10.1109/36.843007].
15. D. Heinz and C.-I Chang, "Fully constrained least squares linear mixture analysis for material quantification in hyperspectral imagery," IEEE Trans. Geosci. Remote Sens. 39, 529-545 (2001) [doi: 10.1109/36.911111]. (Pubitemid 32400422)
16. J. Harsanyi, W. Farrand, and C.-I Chang, "Determining the number and identity of spectral endmembers: An integrated approach using Neyman-Pearson eigenthresholding and iterative constrained RMS error minimization," Proc. 9th Thematic Conf. Geologic Remote Sens. (1993).
17. C.-C. Chang and C.-J. Lin, "LIBSVM : a library for support vector machines," (2001). Software available at http://www.csie.ntu.edu.tw/~cjlin/ libsvm
18. X. Jiao, Y. Du, and C.-I Chang, "Unsupervised linear spectral mixture analysis for hyperspectral imagery," IEEE Trans. Geosci. Remote Sens., under review (2009).