文献类型：期刊文献

中文题名：星载SAR影像辐射误差校正算法研究

英文题名：Study of Space-borne SAR Image Radiometric Correction Algorithm

作者：陈尔学[1] 李增元[1] 车学俭[1] 谭炳香[1] 白黎娜[1]

第一作者：陈尔学

机构：[1]中国林业科学研究院林业资源信息研究所

年份：2002

卷号：12

期号：5

起止页码：10-14

中文期刊名：高技术通讯

外文期刊名：High Technology Letters

收录：CSTPCD;;EI(收录号：2002397111302);Scopus;CSCD:【CSCD2011_2012】；

基金：国家"九五"攻关 (96 B0 2 0 4 0 2 )资助项目

语种：中文

中文关键词：星载SAR;影像辐射误差校正算法;合成孔径雷达;辐射误差;数字高程模型;地理编码;雷达遥感

外文关键词：SAR, Radiometric correction, DEM, Geocoding

分类号：TN958;P225.1

摘要：从SAR影像辐射误差校正原理出发 ,发展了一种利用DEM和SAR地理编码模型计算地面散射面积和当地入射角 ,进而校正地形引起的辐射误差的算法 ,并对计算公式的推导过程进行了论述。通过研究实例对该校正算法的处理效果进行了分析 ,结果表明该算法可以在一定程度上去除地形引起的辐射误差 ,而且该算法仅要求用户具备产生地理编码影像的能力 ,而不需要自己建立地理编码模型 。
s According to SAR image radiometric calibration and radiometric error correction theory, an algorithm to compute ground true backscattering area and local incidence angles was developed with the local DEM and the SAR geocoding model A test site was selected and a scene of ERS 2 SAR image in descending mode was acquired to evaluate the algorithm It shows that the local relief caused radiometric error has been corrected in certain degree after radiometric correction based on this algorithm Because this algorithm only requires the users to own the ability to produce geocoded SAR image no matter what kinds of tools he use, that is to say, the users does not need to establish geocoding model by themselves, so it is a practical and useful method for the effective application of space borne SAR image in mountainous area