Remote sensing image geometric accurate rectification based on automatic matching and triangulation
利用自动匹配与三角剖分进行遥感图像几何精校正

This paper proposes a Geometric Accurate Rectifi cation method in remote sensing image based on reference image library. Firstly, uniformly distributed feature points are obtained in reference image using FAST (Features from Accelerated Segment Test) algorithm, the original matches of feature points are found based on the geographical information. Secondly, the highprecision matches of points are searched out in the input image through translation error removing, exact matching and RANSAC (Random Sample Consensus) gross error elimination. Finally, Delaunay triangulation is constructed for image transformation and resampling. It is verifi ed by HJ Satellite experimental images, compared with traditional method, the accuracy of proposed method has been greatly improved.