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| 基于卫星参数预测的星载SAR图像定位方法研究 | |
| 引用本文： | 李立钢,吴一戎,刘波,彭海良,尤红建,周强.基于卫星参数预测的星载SAR图像定位方法研究[J].电子与信息学报,2007,29(7):1691-1694. |
| 作者姓名： | 李立钢 吴一戎 刘波 彭海良 尤红建 周强 |
| 作者单位： | 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,北京,100080;中国科学院西安光学精密机械研究所,西安,710068;中国科学院研究生院,北京,100039;中国科学院空间中心,北京,100080 2. 中国科学院电子学研究所微波成像技术国家重点实验室,北京,100080 3. 中国科学院西安光学精密机械研究所,西安,710068;中国科学院空间中心,北京,100080 4. 中国科学院电子学研究所微波成像技术国家重点实验室,北京,100080;中国科学院研究生院,北京,100039 |
| 摘 要： | 该文提出了一种基于卫星参数预测的无(少)地面控制点的星载SAR图像的定位方法.该方法利用待校正影像相邻景的成像参数,同时建立预测模型,内插或外推待校正SAR图像的成像参数,从而通过SAR共线方程模型实现无(少)地面控制点的星载SAR图像的定位.文中利用RADARSAT影像进行实验,取得了6～7个像元校正精度. |
| 关 键 词： | 星载SAR 定位 预测 SAR共线方程 RADARSAT 地面控制点 |
| 文章编号： | 1009-5896（2007）07-1691-04 |
| 收稿时间： | 2005-12-21 |
| 修稿时间： | 2005-12-212006-12-04 |
The Study of Satellite SAR Imagery Geo-referencing Based on Satellite Parameters Prediction |
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| Li Li-gang,Wu Yi-rong,Liu Bo,Peng Hai-liang,You Hong-jian,Zhou Qiang.The Study of Satellite SAR Imagery Geo-referencing Based on Satellite Parameters Prediction[J].Journal of Electronics & Information Technology,2007,29(7):1691-1694. | |
| Authors: | Li Li-gang Wu Yi-rong Liu Bo Peng Hai-liang You Hong-jian Zhou Qiang |
| Affiliation: | National Key Laboratory of Microwave Imaging Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing 100080, China; Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710068, China; Graduate School of Chinese Academy of Science, Beijing 100039, China; Center for Sapce Science and Applied Research, Chinese Academy of Sciences, Beijing 100080, China |
| Abstract: | In this paper a new method is proposed to solve the geo-referencing problem of satellite SAR imagery without GCPs by considering the consecutive imaging parameters. That is, the imaging parameters of consecutive imagery are calculated based on GCPs in order to set up the prediction formula, and then the imaging parameters of satellite SAR imagery can be forecasted. Thus the radar collinearity equation model is introduced to precisely locate imagery. RADARSAT imagery is used to test and geo-referencing accuracy reaches 6-7 pixels. |
| Keywords: | Satellite SAR Geo-referencing Prediction Radar collinearity equation RADARSAT Ground control points |
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