| 全景畸变正切改正的高光谱影像视场拼接方法 |
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| 引用本文： | 赵慧洁,陈轲,贾国瑞,邱显斐,唐绍凡,李欢.全景畸变正切改正的高光谱影像视场拼接方法[J].红外与激光工程,2019,48(3):303005-0303005(8). |
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| 作者姓名： | 赵慧洁 陈轲 贾国瑞 邱显斐 唐绍凡 李欢 |
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| 作者单位： | 1.北京航空航天大学 仪器科学与光电工程学院 精密光机电一体化技术教育部重点实验室,北京 100191; |
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| 基金项目： | 国家重点研发计划（2016YFB0500505） |
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| 摘 要： | 静止轨道全谱段高光谱成像仪需采用通道分离、视场和机械拼接的方式，并通过扫描镜摆扫获得宽视场、高空间分辨率的高光谱影像，若直接拼接，子视场间不一致的几何变形将使地物光谱信息失真。假设子视场间同名像点坐标的差异是由各子视场内部参数变化引起的，提出以全景畸变正切改正公式为数学模型的区域网平差方法，实现像方坐标系内的视场拼接。并在可见光近红外通道4个子视场仿真影像的基础上完成了视场拼接实验，达到了0.72 pixel的拼接精度。与基于共线条件方程区域网平差的视场拼接方法相比，该方法精度与其相当，且算法更简单，不需要控制点和DEM辅助，适用于初级影像生产。
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| 关 键 词： | 视场拼接 正切改正 共线条件方程 区域网平差 |
| 收稿时间： | 2018-10-10 |
FOV stitching method for hyperspectral image with tangent correction of panoramic distortion |
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| Affiliation: | 1.Key Laboratory of Education Ministry of Precision Opto-mechatromics Technology,School of Instrumentation Science and Optoelectronic Engineering,Beihang University,Beijing 100191,China;2.Beijing Institute of Space Mechanics and Electricity,Beijing 100076,China |
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| Abstract: | In order to obtain a wide field of view(FOV) and high spatial resolution hyperspectral image while the scanning mirror swinging, the channel separation, FOV and mechanical splicing are required for the geostationary full spectrum hyperspectral imager. If the sub-FOV images are directly spliced, the spectral information of the feature will be distorted because of the different geometric deformation between the sub-FOVs. It was assumed that the difference of the corresponding image points' coordinates between the sub-FOVs was caused by the changes of each sub-FOVs' internal parameters in the paper. A block adjustment method based on the panoramic distortion tangent correction formula was proposed to achieve FOV stitching in the image side coordinate system. The FOV stitching experiment was completed on the basis of four sub-FOVs simulation images in the visible to near-infrared channel, and the stitching accuracy of 0.72 pixels was achieved. The splicing accuracy of the proposed method is close to the block adjustment method's based on the collinear conditional equation. The algorithm is simpler and suitable for primary image production without the assistance of control points and DEM. |
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