一种面向红外摆扫成像的几何校正方法
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摘要
针对红外摆扫成像的严格模型无法直接使用RPC模型替代,且相邻帧影像拼接存在错位等问题,提出一种面向红外摆扫成像的几何校正方法,采用单帧影像构建基于视线的严格模型并正算,然后将多个单帧影像投影至平面进行拼接,再整体构建RPC模型进行反算,实现红外摆扫影像的高精度几何校正。利用实际卫星数据进行实验验证,结果表明,该方法的无控与有控校正精度分别达到了近5个像素和近1个像素。该方法已在红外摆扫数据的几何校正中工程化应用。
For the problem that the rigorous imaging model of infrared whisk-broom imaging cannot be directly replaced by RPC model,and it is also difficult to solve the problem of mosaicking between adjacent frame images,this paper presents a geometric correction method for infrared whisk-broom imaging.High-precision geometric correction of infrared image was realized with building sight-based rigorous imaging model in a single frame of image.Then,project multiple single frame images to the plane to mosaic.Finally,build the RPC model as a whole.Actual satellite images were taken as examples to conduct relevant experiments and the analysis results show that the non control point positioning accuracy and the positioning accuracy with control point reached about five pixels and one pixel respectively.The engineering applications in geometric correction of infrared whisk-broom imaging data were realized by this method.
For the problem that the rigorous imaging model of infrared whisk-broom imaging cannot be directly replaced by RPC model,and it is also difficult to solve the problem of mosaicking between adjacent frame images,this paper presents a geometric correction method for infrared whisk-broom imaging.High-precision geometric correction of infrared image was realized with building sight-based rigorous imaging model in a single frame of image.Then,project multiple single frame images to the plane to mosaic.Finally,build the RPC model as a whole.Actual satellite images were taken as examples to conduct relevant experiments and the analysis results show that the non control point positioning accuracy and the positioning accuracy with control point reached about five pixels and one pixel respectively.The engineering applications in geometric correction of infrared whisk-broom imaging data were realized by this method.
引文
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[11]王密,胡坤,金淑英,等.CBERS-04星红外相机数据扫描行配准算法研究[J].测绘地理信息,2016,41(3):38-39.
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[13]叶思熔,江万寿,李金龙,等.某大视场机载摆扫红外扫描仪几何成像仿真与误差分析[J].红外与激光工程2017,46(4):2-5.
[14]宋耀鑫.面阵摆扫式航空影像几何校正与无缝拼接技术研究[D].北京:中国科学院光电研究院,2014.
[15]WANG C YOU Z,XING F,et al.Image motion velocity field for wide view remote sensing camera and detectors exposure integration control[J].Acta Optica Sinica,2013,33(5)0511002.
[2]苗壮,何斌,王俊琦.空间相机摆扫成像建模及摆镜角速度残差分析[J].航天返回与遥感,2015,36(6):39-47.
[3]孙家柄.遥感原理与应用[M].武汉:武汉大学出版社,2013.
[4]张志杰,张浩,常玉光.Landsat系列卫星光学遥感器辐射定标方法综述[J].遥感学报,2015,19(5)719-722.
[5]唐海蓉,向茂生,朱慧敏.Landsat7图象系统级几何校正算法研究[J].中国图象图形学报,2003,9(9):1009-1012.
[6] LEE D S,JAMES C S.Four years of Landsat-7on-orbit geometric calibration and performance[J].IEEE Transactions on Geoscience and Remote Sensing,2004,12(12):2786-2789.
[7] JU J,ROY D P,VERMOTE E,et al.Kovalsky continental-scale validation of MODIS-based and LEDAPS Landsat ETM+atmospheric correction methods[J].Remote Sensing of Enviroment,2012,122:175-184.
[8]方莉,刘强,柳钦火,等.HJ1B卫星红外扫描图像的几何定位和精校正方法研究[J].高技术通讯,2009,19(3):239-240.
[9]辜璐.发展中的红外成像制导技术[J].红外与激光工程,2008,37(增刊):686-687.
[10]杨飞,金光,曲宏松,等.航天时间延迟积分CCD相机摆扫成像快速几何校正设计与分析[J].光学学报,2014,34(1):1-7.
[11]王密,胡坤,金淑英,等.CBERS-04星红外相机数据扫描行配准算法研究[J].测绘地理信息,2016,41(3):38-39.
[12]金涛,李贞,李婷,等.提高光学遥感卫星图像几何精度总体设计分析[J].宇航学报,2013,34(8):1160-1165.
[13]叶思熔,江万寿,李金龙,等.某大视场机载摆扫红外扫描仪几何成像仿真与误差分析[J].红外与激光工程2017,46(4):2-5.
[14]宋耀鑫.面阵摆扫式航空影像几何校正与无缝拼接技术研究[D].北京:中国科学院光电研究院,2014.
[15]WANG C YOU Z,XING F,et al.Image motion velocity field for wide view remote sensing camera and detectors exposure integration control[J].Acta Optica Sinica,2013,33(5)0511002.