Orthorectification of remote sensing image based on rational function model

摘要

This paper introduces four kinds of orthorectification algorithms, such as polynomial correction method, collinear equation correction method, neural network correction method and rational function model correction method. On the basis of introducing the principle of the above methods, the advantages and disadvantages of different orthorectification methods are summarized. Finally, the multispectral and full-color image data of the GF-1 satellite are processed by using the rational function model correction method. The results show that orthorectification can eliminate the distortion caused by various factors in the process of remote sensing image, and can make full use of the data resources obtained by satellite to provide information service for land resources management.