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In this paper, the authors presents the basis of the traditional design of database for ground control point, tries to founded a fast auto-correction method of satellite remote sensing imagery based on feature ground control point database which brings local feature points as the effective supplement and aims to achieve the automatic matching between feature ground control points and original images that need geometric correction and improve the rectified process utilizing random sample consensus (RANSAC algorithm). In this method, they realize the auto-extraction of feature ground control points for ensuring speed and precise geometric correction of a high volume of satellite remote sensing images by means of analyzing feature ground control point database algorithm.
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