A Fast Geometric Rectification of Remote Sensing Imagery Based on Feature Ground Control Point Database

被引：0
|
作者：
Yang, Jian [1 ]
Zhao, Zhongming [1 ]
机构：
[1] Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing 100101, Peoples R China
来源：
PROCEEDINGS OF THE 4TH WSEAS INTERNATIONAL CONFERENCE ON REMOTE SENSING (REMOTE'08): RECENT ADVANCES IN REMOTE SENSING | 2008年
关键词：
Ground Control Point (GCP) Database; feature matching; local invariance; feature ground control points;
D O I：
暂无
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
This paper, on 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, the author 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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页码：93 / 98
页数：6
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