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：2004
卷号：XXXV Part B7
页码：1096-1100
出版社：Copernicus Publications
摘要：The geo-referenced image with one-meter resolution (GRIOMR) is one of the most basic information in the digital earth. The remote sensing image with high resolution (RSIHR) is the best resource for acquiring the GRIOMR in low costing and sort period. The key technique producing GRIOMR from RSIHR is introduced in this paper, including parameter computation of RSIHR, image matching to creating DTM and fast orthogonal rectification of RSIHR. After the Rational Polynomial Coefficient (RPC) used by IKONOS and QUICKBIRD images and the block adjustment based on RPC parameters are presented, the new, simple and strict geometric model based on affine transformation is described. When there are control points less than 5 in each image, the block adjustment based on RPC parameters could be used. If there are control points more than 4 in each image, the new, simple and strict geometric model based on affine transformation should be applied. For some of RSIHR, the approximate epipolar image pair, after relative registration, remains quite large y-parallax. Therefore, the 2 D relaxation matching should be used in the DTM modelling from RSIHR. Based on DTM and image parameters acquired by block adjustment based on RPC parameters or the model based on affine transformation, the RSIHR can be rectified by fast algorithm. The experimental results with real RSIHR show the strategy introduced in this paper is feasible. Corresponding conclusion and future work are summarized in the final
关键词：Remote Sensing Image; High Resolution; Parameter Calculation; Image Matching; Accurate Rectification
