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：2002
卷号：XXXIV Part 4
出版社：Copernicus Publications
摘要：The number of high resolution space imageries, in the civilian market is growing fast.This images have great interest in the photogrammetric and remote sensing communities. The problem with this images for many users, at the present time is the lack of sensor calibration information and precise ephemeris data. Consequently it is not possible to apply the precise mathematical models such as orbital parameter model to determine the dynamic geometry of them at the time of imaging. Therefore for, there is a need for an alternative approach to extract 2D and 3D spatial information from this images. This paper presents a mathematical solution to extract planimetric information as accurate as possible from IKONOS. This method uses Genetic Algorithm technique to find the best terms of global polynomial that provides the best fitness model of the imagery to the ground space. Using the output of global polynomial in multiquadric transformation gives better results in term of accuracy. The result of this method is compared with other 2D mathematical models such as global polynomial, 2D direct linear transformation and multi-quadric models. Also the model is applied to the IRS-1C imagery
