Image Motion Velocity Model and Compensation Strategy of Wide-Field Remote Sensing Camera

doi:10.13203/j.whugis20150206

CORC > 长春光学精密机械与物理研究所 > 中国科学院长春光学精密机械与物理研究所

	Image Motion Velocity Model and Compensation Strategy of Wide-Field Remote Sensing Camera
	Li, Yongchang; Jin, Longxu; Li, Guoning; Wu, Yinan; Wang, Wenhua
刊名	Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University
	2018
卷号	43 期号:8 页码:1278-1286
关键词	Remote sensing Cameras Global optimization Image quality Integration Mirrors Motion compensation Orbits Satellites Velocity
ISSN号	16718860
DOI	10.13203/j.whugis20150206
英文摘要	During the orbit imaging of the wide-field remote sensing camera, it is affected by the earth's rotation, satellite jittering, attitude maneuverings and other factors, resulting in a decrease in image quality. Therefore a image motion velocity modeling is put forword, which is suitable for the wide-field of the remote sensing camera and considers the effect of off-axis angle on the calculation accuracy, to deduce the off-axis three-mirror camera image motion velocity and drift angle. Taking a satellite as an example, the distribution of the image motion velocity and the drift angle in the focal plane of the three typical imaging modes is simulated. The simulation results, which are consistent with the qualitative analysis results, verify the validity of the image motion velocity model. On this basis, a corresponding image motion compensation strategy is proposed against the scroll and pitch imaging mode. The compensation effect shows that, when the satellite is imaging as scrolling and pitching angles are both 35, the global optimization drift angle matching strategy can guarantee that the MTF of the whole focal area is greater than 0.95 (16 integration stages). The MTF of the focus observation target is greater than 0.95 (96 integration stages) with the local optimization drift angle matching strategy. Using the proposed method of image motion velocity matching strategy, the MTF of the whole focal area is greater than 0.95 (16 integration stages) when dividing the row cycles into 11 groups. The simulation results show that the proposed strategy can effectively solve the image quality degradation problem when scroll and pitch imaging and can provide a reliable basis for the image motion compensation of the wide-field remote sensing camera. 2018, Research and Development Office of Wuhan University. All right reserved.
内容类型	期刊论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/60694]
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Li, Yongchang,Jin, Longxu,Li, Guoning,et al. Image Motion Velocity Model and Compensation Strategy of Wide-Field Remote Sensing Camera[J]. Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University,2018,43(8):1278-1286.
APA	Li, Yongchang,Jin, Longxu,Li, Guoning,Wu, Yinan,&Wang, Wenhua.(2018).Image Motion Velocity Model and Compensation Strategy of Wide-Field Remote Sensing Camera.Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University,43(8),1278-1286.
MLA	Li, Yongchang,et al."Image Motion Velocity Model and Compensation Strategy of Wide-Field Remote Sensing Camera".Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University 43.8(2018):1278-1286.