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：2008
卷号：XXXVII Part B1
页码：889-894
出版社：Copernicus Publications
摘要：Connection of 2D image space coordinates of linear sensor array satellite data and 3D object space coordinates performs by RPC models. As these models are fast and accurate enough for the purposes of mapping such as image exploitation, 3D extraction and reconstruction and DEM generation and also the extraction of physical parameters from these models are difficult, so the vendors of satellite systems consider them as a replacement of physical sensor models and provide them to the users of image products and by this strategy, the information regarding physical sensor models can be hidden. The main disadvantage of these models is the lack of ground control and other image constraints to improve the accuracy of imagery described by RPC coefficients so that the ground controls which are reconstructed directly with the use of these models, do not satisfy the user's desired accuracies. In recent years, many practices for improvement and correction of RPC models have been investigated by different researchers. In this paper, these models are corrected by the aid of an adjustment model with parameters related to geometric properties of object space. This method is implemented to the RPC models of IRS-P5 stereo images and the 3D reconstruction of object space coordinates is fulfilled by using the modified model. The results confirm the high potential of the proposed method in correction of RPC parameters and 3D reconstruction of object space
关键词：Space photogrammetry; High resolution; Correction; Reconstruction; IRS; Parameters
