论文信息 - A STUDY OF THE RPC MODEL OF TERRASAR-X AND COSMO-SKYMED SAR IMAGERY

A STUDY OF THE RPC MODEL OF TERRASAR-X AND COSMO-SKYMED SAR IMAGERY

The rational polynomial coefficient (RPC) model has recently raised considerable interest in the photogrammetry and remote sensing community. This model is a generalized sensor model that is capable of achieving high approximation accuracy. Unfortunately, in all previous literature, the computation of the parameters of the RPC model depends on initial values for the parameters. In this paper, an algorithm for the computation of the parameters without these initial values is presented. Finally, the algorithm is tested on TerraSAR-X and COSMO-SkyMed SAR imagery. Based on numerous tests, the following conclusion can be drawn. This study found that the RPC model is suitable for high resolution SAR imagery. * Corresponding author.

Guo Zhang | Xiaoyong Zhub

[1] C. Tao,et al. A Comprehensive Study of the Rational Function Model for Photogrammetric Processing , 2001 .

[2] Wang Xinzhou. The Iteration by Correcting Characteristic Value and Its Application in Surveying Data Processing , 2001 .

[3] Gong Dan. The Solving and Application of Rational Function Model , 2003 .

[4] Thierry Toutin,et al. Review article: Geometric processing of remote sensing images: models, algorithms and methods , 2004 .

[5] A. Stewart Walker,et al. RIGOROUS SENSOR MODELING AND TRIANGULATION FOR ORBVIEW-3 , 2006 .

[6] Liang-Chien Chen,et al. The Geometrical Comparisons of RSM and RFM for FORMOSAT-2 Satellite Images , 2006 .

[7] W. Cao,et al. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVIII-4/C7 CLASSIFICATION OF HIGH RESOLUTION OPTICAL AND SAR FUSION IMAGE USING FUZZY KNOWLEDGE AND OBJECT-ORIENTED PARADIGM , 2010 .