Research on Remote Sensing Image Registration Algorithm Based on Saliency Mechanism

In order to solve the problem that remote sensing image registration is easily affected by resolution, viewing angle, weather and other problems, resulting in low real-time and poor accuracy of registration results, a remote sensing image registration algorithm based on improved network in network is proposed. Use channel attention to find important channels and filter out useful feature information; design multi-scale matching at the same time, keep fewer parameters, speed up convergence, and improve robustness; improve the loss function, and use the four parameters obtained by regression to design a new loss The function iteratively optimizes the network model to improve the registration accuracy. The experimental results show that the algorithm has higher registration accuracy and faster running efficiency.