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Proceedings Paper

Space-Based optical imaging dynamic simulation for spatial target
Author(s): Chang Xu; Hang Shi; Yanze Gao; Lang Zhou; Qinfeng Shi; Jing Li
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Paper Abstract

In order to satisfy application requirements of space borne imaging loads development and space target detection technology research, an approach by using space target optical characteristic models and sensor imaging characteristic models to generate original frame images, and using the system complex MTF calculation method to transform original frame images into simulation images is proposed. Additional, the 3D scene generation and driving technology are used to simulate the optical characteristics of space targets in different positions and attitudes during the process of frame image generation. In this approach, imaging factors include space environment, detection system and operation state are taken into consideration, and the target optical characteristics are reproduced realistically, the static or dynamic simulation of detection equipment, simulation verification of target recognition and tracking technology are supported. Simulation results show that this method can reflect characteristics of orientation, attitude and material, signal-to-noise ratio, dynamic range, detection angle, illumination angle and other state on target imaging. Which can satisfy the requirements of ground simulation and provide reference for the research of space target imaging technology.

Paper Details

Date Published: 18 December 2019
PDF: 6 pages
Proc. SPIE 11338, AOPC 2019: Optical Sensing and Imaging Technology, 1133815 (18 December 2019); doi: 10.1117/12.2543175
Show Author Affiliations
Chang Xu, Beijing Institute of Technology (China)
Hang Shi, Beijing Electromechanical Engineering Institute (China)
Yanze Gao, Beijing Institute of Technology (China)
Lang Zhou, Beijing Institute of Technology (China)
Qinfeng Shi, Beijing Institute of Technology (China)
Jing Li, Beijing Electromechanical Engineering Institute (China)

Published in SPIE Proceedings Vol. 11338:
AOPC 2019: Optical Sensing and Imaging Technology
John E. Greivenkamp; Jun Tanida; Yadong Jiang; HaiMei Gong; Jin Lu; Dong Liu, Editor(s)

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