期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：1998
卷号：XXXII Part 1
页码：85-89
出版社：Copernicus Publications
摘要：This paper describes a geometric correction algorithm for high-resolution pushbroom type sensor images. In the systematiccorrection module, a sensor-orbit-Earth model was designed by using a vector projection technique which resulted in a forwardtransformation from raw image coordinates to geocentric coordinates. In order to avoid a large amount of computational load of theforward transformation algorithm, an inverse transformation algorithm was derived: The inverse transformation algorithm reduces theprocessing time significantly in resampling process.A precision geometric correction algorithm was also developed. Ground Control Points (GCPs) were extracted from scanned mapimages instead of paper maps attached on a digitizing table. The use of scanned raster map images for the GCP extraction gave manyadvantages for an operator as well as good accuracy. The GCPs extracted from a raw image and a scanned map image were used toestimate the values of geometric error sources such as the position, velocity and attitude of the satellite. An extended Kalman filterwas used for the optimal estimation.The geometric correction algorithm described in this paper was included in a pre-processing software for the KITSAT-3 highresolutionmulti-spectral sensor images. The pre-processing software was developed by using Visual C++ programming language andit will run on PC-WindowsTM environment.
