Proposal of the Image Quality Correction Method for Satellite Multi-Spectral Image
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概要
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The objective of this study is to propose the image quality correction method for the satellite multispectral image.<BR>Generally speaking, the deconvolution with MTF (Modulation Transfer Function) such as inverse filter, wiener filter and so on, has been used so often for the satellite multi-spectral image quality correction. But as for the satellite multi-spectral image quality correction, there are some problems about their accuracy and processing time.<BR>With the object of the simplicity of the algolithm and the adaptability to various kinds of satellite data, we proposed the RGS method (image Restoration method with Gauss-Seidel algolithm) for the image quality correction. The procedure of the correction is carried out by means of iterative tech-niques with Gauss-Seidel algolithm.<BR>Furthermore the 1D-RGS method (one Dimensional RGS method) is extended to the 2D-RGS method. Care must be taken that the 2D-RGS method is treated as the pseudo deconvolution in the strict sense (Burger and Cittert, 1932).<BR>In comparison with the restoration method using MTF, the results of this study are as follows :<BR>1) It was found that the 2D-RGS method is one of the most superior method in image quality correction. Because, everyone can easily carry out the correction and get the same results.<BR>2) It takes usually about an hour to make the color composite image with MTF, but only a few minutes with the 2D-RGS method and the operation efficiency is very high in image quality correction.<BR>3) The 2D-RGS method can be easily carried out adjusting only two parameters called the instrumental function and the dumping factor.<BR>4) As a result of applying the 2D-RGS method to MESSR, TM and HRV data respectively, it was found that the higher the resolution of satellite data, the more efficiently the 2D-RGS method can be carried out.
- 社団法人 日本リモートセンシング学会の論文