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Carvajal G, Penna B, Magli E. 2008. Unified lossy and near-lossless hyperspectral image compression based on JPEG 2000. Geoscience and Remote Sensing Letters, IEEE 5(4):593-597.

Year Published: 2008
Abstract: 

We propose a compression algorithm for hyperspectral images featuring both lossy and near-lossless compression. The algorithm is based on JPEG 2000 and provides better near-lossless compression performance than 3D-CALIC. We also show that its effect on the results of selected applications is negligible and, in some cases, better than JPEG 2000.

Article Title: 
Hyperspectral image compression based on JPEG 2000
Article ID: 
1133