Attitude scheduling and verification for dynamic imaging of agile satellites

Wu, Di; Chen, Yueting; Li, Qi; Xu, Zhihai; Feng, Huajun; Man, Yiyun

doi:10.1016/j.ijleo.2020.164365

Cited by 12 publications

(2 citation statements)

References 9 publications

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“…So far, all of the aforementioned methods overlooked the fact that Earth is an ellipsoid. Although the methods proposed by Wang et al [16] and Wu et al [17] have addressed the aforementioned shortcoming, they have not taken into account the distortion characteristics of ARSCs, potentially introducing errors in IMV calculation.…”

Section: Introductionmentioning

confidence: 99%

A Sensor-Shift Image Motion Compensation Method for Aerospace Remote Sensing Cameras Based on Image Motion Velocity Field Calculations

Bai

Jin

2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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The calculation and analysis of the image motion velocity (IMV) field holds significant importance in the image motion compensation (IMC) of aerospace remote sensing cameras (ARSCs). Thus, this article puts forward a method for calculating the IMV field based on the rigorous imaging model, which takes into account the camera distortion characteristics. The proposed technique is applied to both a virtual and a real remote sensor to analyze the spatial and temporal features of the IMV field and the influence of camera distortion on it. Our experiments revealed that the additional IMV caused by camera distortion should not be disregarded when calculating IMV field due to its relative magnitude and the decrease in IMC performance caused by it. Additionally, we discussed the selection of the sensor-shift IMC strategy and found that for the real remote sensor considered in this article, the 2-D local compensation is already sufficient to achieve the desired compensation effect.

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Section: Introductionmentioning

confidence: 99%

A Sensor-Shift Image Motion Compensation Method for Aerospace Remote Sensing Cameras Based on Image Motion Velocity Field Calculations

Bai

Jin

2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…Fortunately, the rapid development of camera imaging capability and satellite maneuverability [6][7][8][9][10] has made it possible to design new dynamic imaging modes [11]. For example, Cao et al at Harbin Institute of Technology first proposed a circular scanning imaging mode for space cameras [12].…”

Section: Introductionmentioning

confidence: 99%

Imaging Velocity Fields Analysis of Space Camera for Dynamic Circular Scanning

Yang

Wang

et al. 2020

IEEE Access

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Compared with traditional push-broom imaging, the space camera that performs the new circular scanning imaging can effectively enlarge the imaging area and obtain high-resolution images. However, the imaging velocity fields of space camera will seriously deteriorate the image quality in the circular scanning imaging process. And the velocity fields are anisotropically distributed due to various factors, including attitude maneuvering, satellite precession, earth curvature, and earth rotation. Therefore, this paper proposes a mathematical model of the velocity field to analyze the effect of circular scanning imaging. Based on the principle of ray tracing, the expression of the instantaneous velocity field on the ground is first derived, and then the corresponding image velocity field is obtained by mapping the velocity vector to the focal plane. In addition, numerical simulations and image simulations are performed to analyze the anisotropy distribution of the velocity vectors. Moreover, the dynamic characteristics of the space camera are analyzed to evaluate the performance of this new imaging. The simulation results show that the higher velocity leads to worse imaging quality. The study of this paper provides guidance for attitude planning and imaging assessment for new remote sensing imaging of space cameras. INDEX TERMS space camera, circular scanning imaging, velocity field, image quality, ray tracing. Tingting. Xu received the B.Eng. degree in Opto-Electronics Information Science and Engineering from the Sichuan University, Chengdu, China, in 2017. She is currently pursuing the Ph.D. degree in optical engineering at Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences. Her research interests include optical design and dynamic optical remote sensing imaging. Xiubin. Yang received the B.S. degree in physics from the University of NanKai, Tianjin, in 2006 and the Ph.D. degree in optical engineering from

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