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：847-852
出版社：Copernicus Publications
摘要：Orientation and rectification of remote sensing imagery is one of the most important tasks for imagery processing, remote sensing imagery data transformed to specific coordinate system and with coordinate information is not only the directly requirement of surveying, but also the basic of image deeper processing. At the condition of without GCP (ground control point), the ground orientation accuracy of remote sensing imagery principally depends on the accuracy of elements of exterior orientation. Till now, some remote sensing satellite has no mounted high-accuracy attitude surveying equipment such as star tracker or gyrostat, but satellite–carried GPS receivers are applied more and more extensivly，the accuracy of orbit surveying improves constantly, which can even reach meter sized. On the premise that satellite orbit has high accuracy, the primary reason influencing orientation accuracy is satellite attitude angle. Combined adjustment of multi-image is a method to reach the result of improving the orientation accuracy of image, which is said that corresponding control (connection) points is used for basic constrained condition, use position- exterior elements of corresponding images for given values, to improve attitude angles accuracy of all the images. This paper use collinear equations for foundation, detailed elaborates on mathematics modeling, deduces and solves of errors equations. We use three views of neighbor frame images of a recoverable scientific experiment satellite for experiment data, the result indicated that the ground orientation accuracy of the other two pieces of images without ground control can be increase from kilometer sized to the level of tens-meters, so, it is a effective method which uses surveying adjustment technique to improve rectification and orientation accuracy of remote sensing imagery that without or less GCPs
