全景畸变正切改正的高光谱影像视场拼接方法
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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。
In order to obtain a wide field of view(F OV) 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.
In order to obtain a wide field of view(F OV) 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.
引文
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[2]Meng Lingjie,Guo Ding,Tang Menghui,et al Development status and prospect of high resolution imaging satellite in geostationary orbit[J].Spacecraf Recovery&Remote Sensing,2016,37(4):1-6.(in Chinese)孟令杰,郭丁,唐梦辉,等.地球静止轨道高分辨率成像卫星的发展现状与展望[J].航天返回与遥感,2016,37(4)1-6.
[3]Bao He,Li Zhilai,Chai Fangmao,et al.Filter whee mechanism for optical remote sensor in geostationary orbit[J].Optics and Precision Engineering,2015,23(12):3357-3363.(in Chinese)鲍赫,李志来,柴方茂,等.静止轨道光学遥感器的滤光轮机构[J].光学精密工程,2015,23(12):3357-3363.
[4]Guo Jiang,Gong Dapeng,Zhu Lei,et al.Calculation o overlapping pixels in interleaving assembly of CCDfocal plane of mapping camera[J].Optics and Precision Engineering,2013,21(5):1251-1257.(in Chinese)郭疆,龚大鹏,朱磊,等.测绘相机焦平面CCD交错拼接中重叠像元数计算[J].光学精密工程,2013,21(5)1251-1257.
[5]Fan Bin,Chen Xu,Li Bicen,et al.Technica innovation of optical remote sensing payloads onboard GF-5 satellite[J].Infrared and Laser Engineering2017,46(1):0102002.(in Chinese)范斌,陈旭,李碧岑,等.“高分五号”卫星光学遥感载荷的技术创新[J].红外与激光工程,2017,46(1):0102002.
[6]Zhang Guo,Liu Bin,Jiang Wanshou.Inner FOVstitching algorithm of spaceborne opticalsensor based on the virtual CCD line[J].Journal of Image and Graphics,2012,17(6):696-701.(in Chinese)张过,刘斌,江万寿.虚拟CCD线阵星载光学传感器内视场拼接[J].中国图象图形学报,2012,17(6):696-701.
[7]Hu Fen.Research on inner FOV stitehing theories and algorithms for sub-images of three non-collinear TDCCD chips[D].Wuhan:Wuhan University,2010.(in Chinese)胡芬.三片非共线TDICCD成像数据内视场拼接理论与算法研究[D].武汉:武汉大学,2010.
[8]Chen Yue,Zhao Yan,Wang Shigang.Fast image stitching method based on SIFT with adaptive loca image feature[J].Chinese Optics,2016,9(4):415-422(in Chinese)陈月,赵岩,王世刚.图像局部特征自适应的快速SIFT图像拼接方法[J].中国光学,2016,9(4):415-422.
[9]Pan Jun,Hu Fen,Wang Mi,et al.Inner FOV stitching of ZY-102C HR camera based on virtual CCD line[J]Geomatics and Information Science of Wuhan University,2015,40(4):436-443.(in Chinese)潘俊,胡芬,王密,等.基于虚拟线阵的ZY_102C卫星HR相机内视场拼接方法[J].武汉大学学报,2015,40(4)436-443.
[10]Wu Yinan,Li Guoning,Zhang Ke,et al.Registration model based on homologous points tracking o spacecamera assembly imaging[J].Infrared and Lase Engineering,2016,45(3):0326002.(in Chinese)武奕楠,李国宁,张柯,等.基于同名点追踪的空间相机成像拼接配准模型[J].红外与激光工程,2016,45(3)0326002.
[11]Niu Zhaodong,Wang Lin,Duan Yu,et al.Review o foreign space-based optical surveillance strategies fo GEO objects[J].Chinese Optics,2017,10(3):310-320(in Chinese)牛照东,汪琳,段宇,等.国外地球同步轨道目标天基光学监视策略[J].中国光学,2017,10(3):310-320.
[12]Zhao Huijie,Jia Guorui,Tao Dongxing,et al.Key techniques for image simulation of spaceborne pushbroom dispersive hyperspectral sensors[C]/Proceedings of 18 th China Symposium on Remote Sensing.Beijing:Science Press,2012:145-149.(in Chinese)赵慧洁,贾国瑞,陶东兴,等.色散推扫型星载高光谱成像数字仿真关键技术研究[C]//第十八届中国遥感大会论文集.北京:科学出版社,2012:145-149.
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