Anomaly-Based JPEG2000 Compression of Hyperspectral Imagery

被引:27
|
作者
Du, Qian [1 ]
Zhu, Wei [1 ]
Fowler, James E. [1 ]
机构
[1] Mississippi State Univ, Mississippi State High Performance Comp Collabora, Dept Elect & Comp Engn, GeoResources Inst, Starkville, MS 39762 USA
关键词
Anomaly detection; hyperspectral compression; principal component analysis (PCA);
D O I
10.1109/LGRS.2008.2003180
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
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.
引用
收藏
页码:696 / 700
页数:5
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