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中国科学院大学学报 ›› 2015, Vol. 32 ›› Issue (3): 422-427.DOI: 10.7523/j.issn.2095-6134.2015.03.020

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地基SAR图像与地形数据的几何映射三维匹配方法

杨俊1,2, 乞耀龙1, 谭维贤1, 王彦平1, 洪文1   

  1. 1. 中国科学院电子学研究所 微波成像技术国家重点实验室, 北京 100190;
    2. 中国科学院大学, 北京 100190
  • 收稿日期:2014-06-09 修回日期:2014-08-21 发布日期:2015-05-15
  • 通讯作者: 杨俊
  • 基金资助:

    国家自然科学基金重点基金(61431018)、国家自然科学基金(61372186,61201404,61401434)资助

Three-dimensional matching algorithm for geometric mapping between GB-SAR image and terrain data

YANG Jun1,2, QI Yaolong1, TAN Weixian1, WANG Yanping1, HONG Wen1   

  1. 1. National Key Laboratory of Science and Technology on Microwave Imaging, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;
    2. University of Chinese Academy of Sciences, Beijing 100190, China
  • Received:2014-06-09 Revised:2014-08-21 Published:2015-05-15

摘要:

地基合成孔径雷达(GB-SAR)系统具有全天时、全天候、定点连续监测等特点,在矿山及山体滑坡、桥梁沉降、地震形变等领域具有广阔的应用前景.地基SAR图像与上述领域中地形数据的几何映射三维匹配是系统与实际应用相结合的关键技术.本文建立地基SAR系统与地形数据的关系模型及地基SAR系统与雷达图像的关系模型,提出基于距离向和方位向条件的几何映射三维匹配方法;分析几何映射三维匹配过程的误差特性.通过实测数据验证了本文模型及几何映射三维匹配方法的有效性.

关键词: 地基合成孔径雷达(GB-SAR), 地基SAR图像, 地形数据, 距离-方位角模型, 几何映射三维匹配

Abstract:

Ground-based synthetic aperture radar (GB-SAR) system has the advantage of continuous monitoring for a certain area day and night regardless of the weather condition. GB-SAR has broad application prospects in fields of mine, landslide, bridge settlement, earthquake deformation, and so on. The geometric mapping 3D matching between GB-SAR image and terrain data obtained in above fields is the key technology to combination of the system and the practical application. In this work, the relationship model between GB-SAR system and terrain data and the relationship model between GB-SAR system and SAR image are established. A 3D matching algorithm for geometric mapping based on range-azimuth condition is proposed, and the error characteristic in geometric mapping 3D matching process is considered. Finally, the effectiveness of our model and geometric mapping 3D matching algorithm is verified by the measured data.

Key words: ground-based SAR(GB-SAR), GB-SAR image, terrain data, range-azimuth angle model, geometric mapping 3D matching

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