【作者】 施蓓琦；

【导师】 陈能；

【作者基本信息】 上海师范大学 ， 自然地理学， 2006， 硕士

【摘要】 面对日益丰富的空间影像信息来源，研究分析高分辨率遥感影像的处理技术，有效地完成空间信息的快速获取与更新，已成为当前遥感、数字摄影测量、地理信息系统及相关学科的重点研究领域。本文重点就高分辨率卫星CCD推扫式影像的几何精纠正这一问题展开研究： 1．研究在高分辨率遥感影像无法得到卫星轨道和传感器参数进行严格纠正时，采用有理函数模型、三维仿射变换数学纠正模型进行遥感影像的几何精纠正。 2．通过分析线状特征相对于点状特征的优点，将控制线模式引入高分辨率遥感影像的几何纠正，通过广义点摄影测量理论描述了线阵列CCD传感器影像上直线特征的共线表达式，由此充分利用像方、物方中大量存在的线状控制信息，采用单位向量的三维仿射变换进行影像的几何精纠正。 3．对于影响几何精纠正的因素除了数学纠正模型外，控制点的选取也与几何精纠正的精度密切相关，从控制点的来源、精度，数量及点位分布做一探讨，同时进一步对任意点精度与控制点精度的相关性进行研究，来了解控制点对影像几何精纠正精度影响的程度。 4．依据距离倒数加权法空间插值理论，采用多种可视化方法对影像纠正的质量进行描述，便于更好地了解影像几何纠正整体精度，对控制点或纠正方法的选取起到一定的指导作用。更多还原

【Abstract】 Dealing with various spatial information, the extraction of spatial information from High-Resolution Satellite Imagery(HRSI) is a hot topic of Digital Photogrammetry, GIS and other fields. Aiming at the linear CCD push-broom of high resolution satellite imagery, theory and application on imagery geometry correction is discussed in the paper. The main work are as follows,1. Because ephemeris data of commercial High-Resolution Satellites are withheld from users, alternative empirical models should be used. The Point Feature Based Empirical Transformation Models are widely applied for imagery rectification, such as Rational Function Models and 3D-Affine transformation model.2. Compared with point features, linear features have plenty of advantage. As control features, linear features are successfully exploited for image rectification in Photogrammetry. And Generalized Point Photogrammetry theory is applied for linear features on CCD push-broom imagery. Therefore, a new mode (named the Line Based Transformation Model LBTM) is developed for HRSI rectification.3. There is two main factor of HRSI geometry correction. Besides mathematical model, Ground Control Points (GCPs) has played a big role on rectification. The paper analyses several aspects of GCPs, such as its resource, precision, quantity and distribution. Furthermore, the paper has deduced the relation between the accuracy of an arbitrary point and the accuracy of control points to show the effect of GCPs.4. According to such relation, the inverse distance power method is used to give the spatial interpolation to reveal the image rectification accuracy. Based on above, the visualizations of accuracy are used to give the detail description of the quality of image rectification.更多还原