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| 合成孔径雷达影像几何处理方法对比实验研究 | |
| 引用本文： | 张利,邓喀中,黄国满,余海坤,徐克科.合成孔径雷达影像几何处理方法对比实验研究[J].海洋测绘,2006,26(3):24-27. |
| 作者姓名： | 张利 邓喀中 黄国满 余海坤 徐克科 |
| 作者单位： | 1. 中国矿业大学环境与测绘学院,江苏,徐州,221008;中国测绘科学研究院,北京,100039 2. 中国矿业大学环境与测绘学院,江苏,徐州,221008 3. 中国测绘科学研究院,北京,100039 |
| 基金项目： | 国家科技攻关项目;国家测绘科技发展基金 |
| 摘 要： | 合成孔径雷达(SAR)由于其全天候、全天时的工作能力,成为近几年来摄影测量与遥感领域的研究热点。概述了合成孔径雷达影像的三种几何处理方法:多项式法、多项式正射纠正法及距离-多普勒方法,对以上三种方法的算法进行了描述;并基于C 程序进行了计算机实现。利用ERS-2数据和RADARSAT数据进行了实验,并对实验结果进行了比较,结果表明:多项式正射纠正方法和距离-多普勒方法纠图精度较高,且纠图精度相差不大;而多项式法在山区纠图精度相对较差。 |
| 关 键 词： | 遥感 合成孔径雷达 多项式正射方法 距离-多普勒方法 |
| 文章编号： | 1671-3044（2006）03-0024-04 |
| 收稿时间： | 2005-11-24 |
| 修稿时间： | 2006-02-10 |
Experimental Study on Comparison of Geometric Rectification Methods of SAR Images |
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| ZHANG Li,DENG Ka-zhong,HUANG Guo-man,YU Hai-kun,XU Ke-ke.Experimental Study on Comparison of Geometric Rectification Methods of SAR Images[J].Hydrographic Surveying and Charting,2006,26(3):24-27. | |
| Authors: | ZHANG Li DENG Ka-zhong HUANG Guo-man YU Hai-kun XU Ke-ke |
| Institution: | 1. School of Environment and Spatial Informatics, CUMT, Xuzhou, Jiangsu,221008 ; 2. Chinese Academy of Surveying and Mapping, Beijing, 100039 |
| Abstract: | Due to its capacity of all-weather and all-time,Synthetic Aperture Radar(SAR) technique has been currently a hot topic in the area of Photogrammetry and Remote Sensing.This paper summarizes three geometric rectification methods of SAR images: polynomial rectification,polynomial orthorectification and range-Doppler rectification,describes the algorithm of the three methods above.Programme has been designed and written in(C .) At last of this paper,the programme is tested with ERS-2 and RADARSAT data and the result is compared.The result indicates that the accuracy of polynomial orthorectification and range-Doppler rectification is higher and the difference of the accuracy is little,but the accuracy of polynomial rectification is lower. |
| Keywords: | remote sensing synthetic aperture radar polynomial orthorectification method range-Doppler rectification method |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |