PCA-based Wavelet Remote Sensing Image Synthesis Simulation Method

The traditional image mosaic method directly replaces the remote sensing target image into the corresponding area of the background image, but "splicing traces" are prone to appear. This paper proposes a method of fusion of remote sensing background and target images under wavelet multi-frequency based on principal component analysis. First, the remote sensing background and target image are decomposed by wavelet, and then the fusion weight of the image wavelet low-frequency coefficient is calculated by the principal component analysis method, and the high-frequency coefficient is fused by the absolute maximum method, and finally the wavelet fusion coefficient is inversely transformed to realize the image synthesis simulation. The simulation results show that the fusion image can not only highlight the target features, but also has no stitching traces.