Research on plane defect management and safety assessment system of pressure vessel

This paper is aimed at doing some research about the issue of improving remote sensing image fusion. Remote sensing image and multi-spectral image fusion techniques are widely used to obtain information about multispectral image which is characterized by high spatial resolution, so as to apply the information to martial aviation. In order to improve the resolution of remote sensing images, this paper aims at proposing a new algorithm based on the clustering spatial patterns and remote sensing image fusion combined with wavelet analysis. Firstly, the writer adopts the method of wavelet analysis to separate target image fusion, and then reconstructs different frequency by the choice of different fusion rules. After that amalgamate with fused edge blur image region by the pattern of spatial clustering scheme. At that moment, two groups of remote sensing images are presented. It suggests that improved remote sensing image fusion retains multi-spectral information as far as possible and improves the resolutions, by comparing with general image fusion algorithm, which has some value of usage.