DocumentCode
2889444
Title
Robust material identification in hyperspectral data via multiresolution wavelet techniques
Author
Gorman, John D. ; Subotic, Nilcola S. ; Thelen, B.J.
Author_Institution
Environ. Res. Inst. of Michigan, Ann Arbor, MI, USA
Volume
5
fYear
1995
fDate
9-12 May 1995
Firstpage
2805
Abstract
Reviews the characteristics of hyperspectral imaging sensors and describes several important data exploitation applications in remote sensing. The authors then focus on a particular signal processing application, material identification, and propose a novel algorithm based on multiresolution wavelet techniques. Finally, they demonstrate the multiresolution material identification algorithm on data collected with a all-band hyperspectral sensor
Keywords
geophysical signal processing; remote sensing; signal resolution; wavelet transforms; data exploitation applications; hyperspectral data; hyperspectral imaging sensors; multiresolution wavelet techniques; remote sensing; robust material identification; signal processing; Hyperspectral imaging; Hyperspectral sensors; Image resolution; Image sensors; Layout; Reflectivity; Remote sensing; Robustness; Signal processing algorithms; Signal resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location
Detroit, MI
ISSN
1520-6149
Print_ISBN
0-7803-2431-5
Type
conf
DOI
10.1109/ICASSP.1995.479428
Filename
479428
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