Abstract
Characteristics of spatial remote sensing images are studied. Based on their characteristics, remote sensing images are compressed through wavelet transformation. Wavelet properties are first analyzed. The relationship of these properties with image compression is then obtained. Simulations on wavelet properties are performed via MATLAB. Influence of individual properties on compression of spatial remote sensing images is obtained. Wavelet decomposition and reconstruction of several images are simulated in the experiment. With peak signal to noise ratio (PSNR) as the performance metric, the d9/7 wavelet is finally determined as the optimal choice for compression of spatial remote sensing image.
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