An Automatic Ground Control Point Matching Based on GCP Chip Database for Remote Sensing Images

With the rapid development of remote sensing technology and comprehensive applications, there are more demands on precision and efficiency for remote sensing digital orthographic maps (DOM). Selecting and positioning ground control points (GCP) is one of the most important parts of geometry correction to produce the DOM. In order to reduce the manual work of selecting GCPs and increase the correction precision, it is necessary to improve the automation of image correction and advance the GCP matching method. In this paper, the GCP chip database was designed from the organization and function first, and then the simple wedge corner matching algorithm, based on the database, was adopted to match GCP automatically. Based on the GCP chip database, the GCP collecting and querying was introduced, and the GCP matching was carried out automatically. By analyzing the results of experiment, we concluded that the GCP with image chips from the database improved the automation of image correction, and the simple wedge corner model matched GCP effectively in a certain range to GCP matching.