| 高分辨率遥感卫星传感器严格成像模型的建立及验证 |
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| 引用本文： | 王涛,张艳,张永生,潘申林. 高分辨率遥感卫星传感器严格成像模型的建立及验证[J]. 遥感学报, 2013, 17(5): 1087-1102 |
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| 作者姓名： | 王涛 张艳 张永生 潘申林 |
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| 作者单位： | 信息工程大学 地理空间信息学院, 河南 郑州 450052;信息工程大学 地理空间信息学院, 河南 郑州 450052;信息工程大学 地理空间信息学院, 河南 郑州 450052;信息工程大学 地理空间信息学院, 河南 郑州 450052 |
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| 基金项目： | 国家自然科学基金(编号:41101396,41001262);国家高技术研究发展计划(863计划)(编号:2012AA12A302-5);地理信息工程国家重点实验室开放基金(编号:SKLGIE2013-M-3-4) |
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| 摘 要： | 本文对高分辨率遥感卫星传感器严格成像模型进行了深入研究。分析了星载线阵CCD传感器严格成像模型的一般建立方法与过程,针对SPOT 5 HRS/HRG、ALOS PRISM、资源三号TLC等典型的高分辨率遥感卫星传感器特点,分别给出了3种改化的严格成像模型;设计了基于光束法区域网平差的模型验证方法。利用登封遥感实验场区域的3种卫星影像及相关辅助数据,对严格成像模型的正确性进行了验证。结果表明3种改化模型可有效实现卫星影像的平差定位。
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| 关 键 词： | 星载线阵CCD传感器 严格成像模型 光束法区域网平差 资源三号卫星 |
| 收稿时间： | 2012-08-20 |
| 修稿时间： | 2013-04-09 |
Construction and validation of rigorous imaging model for high-resolution remote sensing satellites |
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| WANG Tao,ZHANG Yan,ZHANG Yongsheng and PAN Shenlin. Construction and validation of rigorous imaging model for high-resolution remote sensing satellites[J]. Journal of Remote Sensing, 2013, 17(5): 1087-1102 |
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| Authors: | WANG Tao ZHANG Yan ZHANG Yongsheng PAN Shenlin |
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| Affiliation: | Institute of Geospatial Information, Information Engineering University, Zhengzhou 450052, China;Institute of Geospatial Information, Information Engineering University, Zhengzhou 450052, China;Institute of Geospatial Information, Information Engineering University, Zhengzhou 450052, China;Institute of Geospatial Information, Information Engineering University, Zhengzhou 450052, China |
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| Abstract: | We present an in-depth study on the rigorous imaging model of high-resolution remote sensing satellites. After a brief analysis of the generally established method and process of developing the rigorous imaging model of a spaceborne linear array CCD sensor, three improved rigorous imaging models are proposed for the SPOT 5 HRS/HRG, ALOS PRISM, ZY-3 TLC, and other typical high-resolution remote sensing satellite sensors. We also propose the design of a model validation method based on the bundle block adjustment. The correctness of the rigorous imaging improvement models is verified using three types of satellite images and ancillary data over the Dengfeng remote sensing test field. Experimental results confirm that the three improvement imaging models are correct and applicable for effectively realizing geopositioning and block adjustment of the satellite images. |
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| Keywords: | spaceborne linear-array CCD sensor rigorous imaging model bundle block adjustment ZY-3 satellite |
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