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| Paper: |
An Optimal Data Loss Compression Technique for Remote Surface Multiwavelength Mapping |
| Volume: |
145, Astronomical Data Analysis Software and Systems VII |
| Page: |
504 |
| Authors: |
Vasilyev, S. V. |
| Abstract: |
This paper discusses the application of principal component analysis (PCA) to compress multispectral images taking advantage of spectral correlations between the bands. It also exploits the PCA's high generalizing ability to implement a simple learning algorithm for sequential compression of remote sensing imagery. An example of compressing a ground-based multiwavelength image of a lunar region is given in view of its potential application in space-borne imaging spectroscopy. |
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