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In this paper, a hierarchical spectral imagery coding method has been proposed. The spectral imagery is encoded into two layers, i.e. base layer and enhancement layer. Firstly, an PCA-FVQ (Principal Component Analysis based Fast Vector Quantization) coding method has been proposed to generate the base layer bitstream, which can be decoded independently to provide a basic image quality. Then the differential...
In this paper, a PCA (Principal Component Analysis) based fast vector quantization coding method for spectral imagery has been proposed. Firstly, PCA is used to concentrate effective information of image into a few PCs (Principal Components). Then a PC selected method based on the eigenvalues is used to extract the PCs that contain the main information. Furthermore, an improved fast vector quantization...
Aiming at the problem of remote sensing image resolution enhancement, a panchromatic image based spectral imagery super resolution algorithm is proposed in this paper. A simple gray scale mapping method is first presented to better use high frequency details distilled from a high resolution reference panchromatic image, then a Maximum a Posterior(MAP) based iterative optimization process is introduced...
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