高分辨率雷达图像双视向几何纠正方法研究  

The Dual-aspect Geometric Correction Method Based on DEM for High-resolution SAR Images

作　　者：万紫[1,2] 徐茂松[3] 夏忠胜 张风丽[1] 宫华泽[1] 

机构地区：[1]中国科学院遥感应用研究所,北京100101 [2]中国科学院研究生院,北京100049 [3]国家林业局调查规划设计院,北京100714 [4]贵州省林业厅森林资源管理站,贵阳550001

出　　处：《国土资源遥感》2010年第2期12-16,21,共6页Remote Sensing for Land & Resources

基　　金：国家科技部863计划“高分辨率极化雷达森林类型识别与分类技术研究”项目(编号:2007AA12Z146)资助

摘　　要：针对山区高分辨率雷达卫星Terra SAR-X图像的严重几何变形,提出了一种新的双视向雷达图像几何纠正方法。实验证明,该方法可以有效去除地形引起的各种几何变形,防止后向散射系数的失真,特别是能够有效去除叠掩和阴影的影响,而这个问题是基于单幅雷达图像的传统几何纠正方法无法解决的。为SAR的应用,特别是林业遥感应用提供了重要手段。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.

关 键 词：高分辨率SAR 几何纠正 双视向补偿 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置]