ZHU Cai-ying 1, 2, XU Qing 2, et al. Study on Mathematical Models for Airborne SAR Image Rectification[J]. Journal of Remote Sensing, 2003,(2):112-117.
ZHU Cai-ying 1, 2, XU Qing 2, et al. Study on Mathematical Models for Airborne SAR Image Rectification[J]. Journal of Remote Sensing, 2003,(2):112-117. DOI: 10.11834/jrs.20030206.
SAR (Synthetic Aperture Radar) images have been widely applied because of the development of SAR remote sensing techniques. The theories and techniques of SAR image rectification have been paid attention to in the application field of RS (Remote Sensing) and GIS (Geographic Information System). It was noticed that why there are different mathematical models in describing the relationship between SAR image points and their corresponding ground points
and which one is better.Based on a long time study on SAR image application
this paper recapitulated three mathematical models—F. Leberl Model
Konecny Model and Polynomial Model
which were ever used for the SAR image processing in the world. The characteristics of the three models were analyzed and tested in the experiments of rectification with the image information acquired by China-made SAR system and America-made GEM system. After the experimental results were compared
it comes to some conclusions:1.The simplest model—Polynomial Model adapts to the rectification with the SAR images of flat terrain regions under the condition of enough control points distributed averagely
in which the amount of calculation is the least and the accuracy of rectification is acceptable.2.The accuracy of rectification acquired by Leberl Model is better than the one acquired by Konceny Model—the simulation of traditional form.3.Leberl Model is more adaptive and simpler than Konceny Model.4.Leberl Model was recommended for real-time monitoring and assessing natural disaster