@inproceedings{848f3a10acfa441496908038812a07d0,
title = "Space-Based optical imaging dynamic simulation for spatial target",
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.",
keywords = "MTF, dynamic simulation, optical imaging, sensor modeling",
author = "Chang Xu and Hang Shi and Yanze Gao and Lang Zhou and Qinfeng Shi and Jing Li",
note = "Publisher Copyright: {\textcopyright} 2019 copyright SPIE. Downloading of the abstract is permitted for personal use only.; Applied Optics and Photonics China 2019: Optical Sensing and Imaging Technology, AOPC 2019 ; Conference date: 07-07-2019 Through 09-07-2019",
year = "2019",
doi = "10.1117/12.2543175",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "John Greivenkamp and Jun Tanida and Yadong Jiang and HaiMei Gong and Jin Lu and Dong Liu",
booktitle = "AOPC 2019",
address = "United States",
}