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：2007
卷号：XXXVI-1/W51
出版社：Copernicus Publications
摘要：The Institute of Geodesy and Photogrammetry (IGP) is participating in the Cartosat-1 evaluation program, a common initiative ofISRO (India) and ISPRS. Within this program various test sites with reference data have been established and Cartosat-1 imageshave been acquired over these sites. Here, we will report about our investigations at the Rome and Mausanne test sites. First, wereport on radiometric problems encountered with the images and preprocessing for their improvement. These include artefacts,unfocussing in the forward channel and scale differences to aft, jitter at horizontal edges, interlacing errors and pattern noise. Weshow examples and also preprocessing methods that can be employed in order to improve image quality, with aim especially toautomatically generate a DSM with less blunders (due to noise and artefacts) and more match points. Then, we report on sensormodelling and the 3D point positioning accuracy that can be achieved, as well as various problems encountered with the RationalPolynomial Coefficients (RPCs). The orientation results were produced using various options regarding image preprocessing, sensormodel, number and distribution of GCPs and GCP image mensuration methods. The best results led to a planimetric and heightaccuracy (RMSE) of about 1.3 m. The absolute geolocation accuracy varies greatly from dataset to dataset and can be worse than afew thousand meters, making Cartosat-1 unsuitable for generation of global mapping products without use of GCPs. Finally, wepresent the results of automatic DSM generation using our own Sat-PP program package. Various DSMs were generated with 10mgrid spacing. The results were checked both visually and were compared using the provided reference data. In the best case, theachieved accuracy is about 2.7 m without any manual editing and in spite of 3-year difference between matching and referenceDSM. In spite of several aspects that could and should be improved, Cartosat-1 is a useful sensor for mapping and especiallygeneration of DSMs.
关键词：Cartosat-1; image quality; image preprocessing; sensor modelling; RPCs; 3D point positioning; DSM generation;performance evaluation
