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- W1647469550 abstract "Abstract : This research has developed and tested an approach to improvement of noise degraded multiband imagery based on a class dependent Karhunen-Loeve (K-L) transformation and transform domain spatial filtering. The technique is attractive because of its tendency to preserve the high spatial frequency information (e.g., edges) in the picture as compared with conventional minimum mean square error linear filtering of the original bands. Multiband images (especially color and multispectral characteristically exhibit significant class structure, and within a particular class show high spectral correlations. The filtering technique developed during this research exploits both the class structure and the intraclass correlation to achieve noise suppression. (Author)" @default.
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- W1647469550 date "1980-08-01" @default.
- W1647469550 modified "2023-09-27" @default.
- W1647469550 title "Improved Noise Suppression for Multiband Imagery." @default.
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