Based on the Polymerization Wavelet Analysis Remote Imaging Grad Algorithm is Discussed

摘要

Remote sensing image fusion optimization problem. Multi-spectral remote sensing images and image fusion techniques are widely used to obtain high spatial resolution multi-spectral image information to be used for military aviation and other fields, in order to effectively improve the resolution of remote sensing images, a model based on poly space combination of class and the wavelet analysis of remote sensing image fusion algorithm. First, treatment of the fused image using wavelet analysis, wavelet decomposition, and select the different fusion rules of the wavelet decomposition of different high and low frequency reconstruction, then the edge of the blurred image fusion based on spatial pattern of regional clustering program are merged. Remote sensing images are given two sets of experiments, simulation results show that with several popular image fusion algorithm, the improved remote-sensing image fusion algorithm to maximize the multi-band spectral information to retain and improve the resolution, and has a practical sex.