The Dual-aspect Geometric Correction Method Based on DEM for High-resolution SAR Images
WAN Zi 1,4, XU Mao-song 2, XIA Zhong-sheng 3, ZHANG Feng-li1, GONG Hua-ze 1
1.Institute of Remote Sensing Applications, Chinese Academy of Science, Beijing 100101, China;2.Academy of Forestry Inventory, Planning and Designing, State Forestry Administration, Beijing 100714, China;3.Forestry Resource Administration Station, Forestry Department of Guizhou Province, Guiyang 550001, China;4.Graduate School, Chinese Academy of Sciences, Beijing 100049, China
This paper presents a newly developed method for SAR image geometric correction which lies in the dual-aspect geometric correction based on DEM to overcome the inherent shortages of Synthetic Aperture Radar (SAR) image such as foreshortening, shadow and layover, and correct the distorted or lost backscatter coefficient values in mountain areas. The geometric distortion of SAR images strongly limits the application of such images, especially in forestry inventory. The Terra SAR-X SAR images were used in this study. The results show that this method can effectively eliminate the effect of geometric distortions and compensate the lost or distorted backscatter coefficients, and is especially useful in eliminating layover and shadow distortions in SAR images. This method thus solves the geometric correction problem that cannot be solved with single SAR image.
万紫, 徐茂松, 夏忠胜, 张风丽, 宫华泽. 高分辨率雷达图像双视向几何纠正方法研究[J]. 国土资源遥感, 2010, 22(2): 12-16.
WAN Zi, XU Mao-Song, XIA Zhong-Sheng, ZHANG Feng-Li, GONG Hua-Ze. The Dual-aspect Geometric Correction Method Based on DEM for High-resolution SAR Images. REMOTE SENSING FOR LAND & RESOURCES, 2010, 22(2): 12-16.