| 引用本文: | 陈圣义,刘晓春,雷志辉,等.结合景象匹配与惯导信息的SAR平台定位方法.[J].国防科技大学学报,2017,39(4):105-109.[点击复制] |
| CHEN Shengyi,LIU Xiaochun,LEI Zhihui,et al.SAR platform location method based on scene matching and inertial navigation system information[J].Journal of National University of Defense Technology,2017,39(4):105-109[点击复制] |
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| 结合景象匹配与惯导信息的SAR平台定位方法 |
| 陈圣义1,2, 刘晓春1,2, 雷志辉1,2, 于起峰1,2, 崔文3 |
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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;3. 中国人民解放军96656部队， 北京 102208)
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| 摘要: |
| 利用高度传感器提供高度信息，结合高精度异源图像匹配技术与惯导系统漂移修正方法实现SAR平台定位。根据成像中间时刻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，在单帧图像中心线上均匀选取若干点与光学基准图进行高精度景象匹配；计算平台在水平面上投影位置，并利用高度信息确定其空间位置；使用序列图像定位结果估计惯导系统漂移参数，对惯导系统输出的位置数据进行修正，实现高精度的SAR平台定位。对各误差因素的影响进行分析，推导了精度估计公式。仿真和实际序列图像实验结果表明，方法正确可行，具有较高的平台定位精度，具备一定工程实用价值。 |
| 关键词: 合成孔径雷达 平台定位 景象匹配 惯导漂移 误差传递 |
| DOI：10.11887/j.cn.201704016 |
| 投稿日期：2016-11-18 |
| 基金项目:国家重点基础研究发展计划资助项目（2013CB733100） |
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| SAR platform location method based on scene matching and inertial navigation system information |
| CHEN Shengyi1,2, LIU Xiaochun1,2, LEI Zhihui1,2, YU Qifeng1,2, CUI Wen3 |
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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;3. The PLA Unit 96656, Beijing 102208, China)
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| Abstract: |
| Aided by elevation information provided by height sensor, SAR (synthetic aperture radar) platform geo-location was realized by combining the high-precision image matching technology and the INS (inertial navigation system) drift correction method. According to the fact that the platform is on the centerline of SAR image at the middle imaging time, some points on the centerline of a single image were equably selected to conduct the high precision matching with the optical reference image. The projection position of SAR platform on the horizontal plane was calculated and the spatial position was positioned by making use of the elevation information. By use of the position results of sequence images, the drifting parameters of INS were estimated and then the outputting position data were corrected to achieve the high-accuracy platform geo-location. The impacts of different errors on location precision were analyzed and the precision estimation formulas were derived. Both simulation and real data test results show high precision and practical value for engineering of the proposed method. |
| Keywords: synthetic aperture radar platform geo-location scene matching inertial sensor drift error propagation |
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