A Study Of The Imaging Geometry Models Of Linear Array CCD Imagery Of Remote-Sensing Satellites

Focusing on the linear array CCD imagery of remote-sensing satellites , we're analyzing the imaging geometry models. In this thesis, the emphasis is the photogrammetric processing of rational function model, this paper includes:1.The investigation on the rigorous geometric model of linear array CCD imagery, in which some algorithms (including least- square estimate, generalized ridge estimate etc)are presented for the research on correlation of exterior elements, characters of those algorithms are compared through experimental results.2.The basic principles and computation process of rational function coefficients are analyzed and discussed for the research on linear array CCD imagery, then the stereo geo-positioning algorithm based on it is developed, the stability and precision results of RFM are compared with rigorous geometric model under different kinds of experimental data.3.In the terrain-dependent scheme, rigorous geometric model are developed based on the traditional exterior orientation, then analogue grids can be established for the computation of RFCs, the focus is on the effect of elevation layers and plane grid density, in the experiments, a rational scheme of analogue grids which including the analogue grid density and elevation layers are summarized.4. SDLT model and EDLT model are studied based on the DLT model, experiments can show that: EDLT and SDLT can reach high precision than DLT model with some image calibration coefficients.