Remote sensing image processing based on multi-scale geometric transformation algorithm

Abstract

Remote sensing image plays an irreplaceable role in the defense and civilian sides. Because there are big differences between its image-forming mechanism and visible light image, it is particularly important to study the processing algorithm for the characteristic of this type of graphics. Although the multi-scale geometric analysis algorithm has a good time-frequency characteristics itself and can well solve some multidimensional signal processing problems of the corresponding directions, there are still many shortcomings of the multi-scale geometric transformation generated by theory need to be improved. Some multiscale geometric transformations don’t have shift invariance nature and analytical nature, the direction selectivity are poor and so on, and for the characteristics of remote sensing image, different types of multi-scale geometric transformation has different processing effect. The study is mainly based on the multi-scale geometric transformation which is commonly used, and its main application areas are remote sensing image processing. The paper regards the multi-scale geometric transformation as main line, and carries out a deep and systematic study on denoising technology in SAR image of the key technology in remote sensing image processing. And the experimental results are analyzed to verify the effectiveness of the technology.