DocumentCode
961022
Title
Anomaly-Based JPEG2000 Compression of Hyperspectral Imagery
Author
Du, Qian ; Zhu, Wei ; Fowler, James E.
Author_Institution
Dept. of Electr. & Comput. Eng., Mississippi State Univ., Starkville, MS
Volume
5
Issue
4
fYear
2008
Firstpage
696
Lastpage
700
Abstract
Lossy compression of hyperspectral imagery is considered, with special emphasis on the preservation of anomalous pixels. In the proposed scheme, anomalous pixels are extracted before compression and replaced with interpolation from surrounding nonanomalous pixels. The image is then coded using principal component analysis for spectral decorrelation followed by JPEG2000. The anomalous pixels do not participate in this lossy compression and are rather transmitted separately in a lossless fashion. Upon decoding, the anomalous pixels are inserted back into the image. Experimental results demonstrate that the proposed scheme improves not only anomaly detection performed subsequent to decoding but also the rate-distortion performance of the lossy-compression process.
Keywords
data compression; geophysical techniques; geophysics computing; image coding; principal component analysis; JPEG2000; anomalous pixels extraction; hyperspectral imagery; image coding; interpolation; lossy-compression process; nonanomalous pixels; principal component analysis; rate-distortion performance; spectral decorrelation; Anomaly detection; hyperspectral compression; principal component analysis (PCA);
fLanguage
English
Journal_Title
Geoscience and Remote Sensing Letters, IEEE
Publisher
ieee
ISSN
1545-598X
Type
jour
DOI
10.1109/LGRS.2008.2003180
Filename
4656482
Link To Document