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Geometric correction of satellite images of the Yunnan-Guizhou Plateau region lacks control point
Author: DingChao
Tutor: ZuoXiaoQing
School: Kunming University of Science and Technology
Course: Geodesy and Survey Engineering
Keywords: Line pushbroom CCD satellite images Correction model Yunnan-Guizhou Plateau
CLC: TP751
Type: Master's thesis
Year: 2009
Downloads: 43
Quote: 0
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Abstract
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With the rapid development of satellite remote sensing technology , the high spatial resolution linear array pushbroom CCD remote sensing images and more widely . Image rectification method need to collect a sufficient number of ground control points and uniformly distributed , but due to height difference in the Yunnan-Guizhou Plateau ground features not obvious , or because of the hard-to-reach , or do not have enough time to deal with the ground control points access is often difficult . Therefore, the lack of control point on the Yunnan-Guizhou Plateau even the Linear Pushbroom under the conditions of the control point CCD remote sensing image geometric correction is important . This paper first introduces the results of previous studies on the basis of the results of previous studies of systems analysis , for of SPOT5-1A level image , and an image of CBERS-02 test . In this paper, Erdas 9.2 LPS module the SPOT5-1A level image control point and the lack of geometric correction test under the conditions of the control point ; while using the GDAL command- line tools , respectively for of SPOT5-1A level image , and an image of CBERS-02 control point and the lack of the geometric correction test under the conditions of the control point . On an experimental basis , the accuracy comparative analysis . Results surface control point conditions , auxiliary data files through satellite remote sensing image comes their corrective ground targeting effect is not very good , need to continue to develop ; under conditions of lack of control point , on the ground targeting , better application prospects .
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CLC: > Industrial Technology > Automation technology,computer technology > Remote sensing technology > Interpretation, identification and processing of remote sensing images > Image processing methods
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