Target feature matching method of remote sensing image of power tower supported by grid coding

Abstract

The conventional target feature matching method of remote sensing image of power tower mainly uses deformable pooling framework for sampling processing, which is vulnerable to the dynamic deformation of geographical space, resulting in low registration rate. Therefore, a new target feature matching method of remote sensing image of power tower needs to be designed with the support of grid coding, that is, combining the principle of thermal infrared image. The target data of remote sensing image of power tower is processed, and the target feature matching algorithm of remote sensing image of power tower is designed on the basis of grid coding support, so that the target feature matching of remote sensing image of power tower is realized. The experimental results show that the designed remote sensing image target feature matching method for power tower has a high registration rate, which proves that the designed remote sensing image target feature matching method has good matching effect, accuracy, and certain application value, and has made certain contributions to improving the quality of remote sensing images in various fields.