Referenced Items are not available for this document.
We propose a new lossy compression algorithm for hyperspectral images, which is based on the spectral Karhunen-Loeve transform, followed by spatial JPEG 2000, which employs a model of anomalous pixels during the compression process. Results on Airborne Visible/Infrared Imaging Spectrometer scenes show that the new algorithm provides better rate-distortion performance, as well as improved anomaly detection performance, with respect to the state of the art.
Published in:
Geoscience and Remote Sensing Letters, IEEE
(Volume:4
,
Issue:
4
)
Date of Publication: Oct. 2007
- Page(s):
- 664 - 668
- ISSN :
- 1545-598X
- INSPEC Accession Number:
- 9793160
- Digital Object Identifier :
- 10.1109/LGRS.2007.903976
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 15 October 2007
- Issue Date :
- Oct. 2007
- Sponsored by :
- IEEE Geoscience and Remote Sensing Society
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