| 引用本文: | 陈圣义,刘晓春,滕锡超,等.基于高精度景象匹配的SAR平台定位方法.[J].国防科技大学学报,2016,38(5):121-126.[点击复制] |
| CHEN Shengyi,LIU Xiaochun,TENG Xichao,et al.SAR positioning method based on high-precision scene matching[J].Journal of National University of Defense Technology,2016,38(5):121-126[点击复制] |
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| 基于高精度景象匹配的SAR平台定位方法 |
| 陈圣义1,2, 刘晓春1,2, 滕锡超1,2, 李晓雪1,2, 雷志辉1,2 |
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(1.国防科技大学 航天科学与工程学院， 湖南 长沙 410073;2.
2.国防科技大学 图像测量与视觉导航湖南省重点实验室， 湖南 长沙 410073)
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| 摘要: |
| 提出一种利用SAR图像与光学基准图高精度匹配实现SAR平台定位的方法。利用成像中间时刻SAR平台与SAR图像中心线上物点在水平面的投影共线的特性，在图像中心线上均匀选取若干点作为匹配点，并与光学基准图进行高精度景象匹配获取它们的物点坐标；根据这些物点坐标估计出图像中心线在当地水平面投影的直线方程；利用直线信息和斜距高度信息计算SAR平台在水平面上的投影点位置，进而计算得到成像中间时刻SAR平台的空间位置。为了进一步提高匹配精度，分别提出对正侧视和斜视SAR图像匹配区域进行几何粗校正的方法。还分析了不同误差因素对平台定位精度的影响，并给出精度估计公式。仿真和实际图像实验结果表明，方法正确可行，具有较高的定位精度，具备工程实用价值。 |
| 关键词: 合成孔径雷达 平台定位 景象匹配 直线拟合 误差传递 |
| DOI：10.11887/j.cn.201605019 |
| 投稿日期：2015-05-27 |
| 基金项目:国家重大科学仪器设备开发专项资助项目（2013YQ140517） |
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| SAR positioning method based on high-precision scene matching |
| CHEN Shengyi1,2, LIU Xiaochun1,2, TENG Xichao1,2, LI Xiaoxue1,2, LEI Zhihui1,2 |
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(1. College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China;2.
2. Hunan Key Laboratory of Videometrics and Vision Navigation, National University of Defense Technology, Changsha 410073, China)
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| Abstract: |
| A SAR platform location method which utilizes the high-precision scene matching of SAR images and optical reference images was proposed. According to that the projections of SAR platform and object point in SAR image centerline are collinear, some points on the centerline were equably engaged as control points in the proposal method, and then the spatial position was obtained by matching with optical reference image. The equation of the projection line on the local horizon of centerline was estimated with the points. The projection point position of the SAR platform on the horizontal plane was calculated by making use of the straight line and slant-range-altitude information, as well as the spatial position of the platform. Considering the difference between boresight and squint imaging mode, rough rectifying methods were respectively proposed according to the two modes to improve the matching precision. The impact of different errors on location precision was also analyzed and the precision estimation formulas were derived. Both simulation and real data test results show high accuracy and precision of the proposed method, thus bringing forth good practical value for engineering. |
| Keywords: synthetic aperture radar platform geo-location scene matching line fitting error propagation |
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