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With the development of remote sensing satellites, the data quantity of remote sensing image is increasing tremendously, which brings a huge workload to the image geometric correction through manual ground control point (GCP) selection. GCPs automatically selected based on software is one of the effective methods to cut down manual operation. The GCPs obtained from that way is generally redundant. In this paper, after some existing methods about automatic optimization of GCP are summarized, a new method of automatic optimization of GCP based on Voronoi Diagram (Thiessen polygon) is proposed. This method uses the ratio of Thiessen Polygon max-min area generated by GCP as the basis and filter GCP from the overfull ones without manual subjectivity for better accuracy. Experiments in this paper also demonstrated the relationship between the accuracy of geometric correction and the distribution of GCP

Research on Impact of Ground Control Point Distribution on Image Geometric Rectification Based on Voronoi Diagram