收稿日期: 2014-06-09
修回日期: 2014-08-21
网络出版日期: 2015-05-15
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
Received date: 2014-06-09
Revised date: 2014-08-21
Online published: 2015-05-15
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
杨俊 , 乞耀龙 , 谭维贤 , 王彦平 , 洪文 . 地基SAR图像与地形数据的几何映射三维匹配方法[J]. 中国科学院大学学报, 2015 , 32(3) : 422 -427 . DOI: 10.7523/j.issn.2095-6134.2015.03.020
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.
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