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Modeling for space-based visible imaging characteristics of space object

  • Cheng Ming Sun
  • , Yan Yuan
  • , Zhi Liang Zhou
  • CAS - Academy of Opto-Electronics

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In order to enhance the capability of space-based surveillance, the detailed modeling for visible imaging characteristics of space object is described in this paper. Firstly, a space-based imaging detection model is built based on the scattering visible radiation from space object. The model consists of radiation transmission based on the bidirectional reflectance distribution function (BRDF) and grayscale transformation based on the 256 levels. Then, according to the position of the sun, object and detector, the imaging conditions such as imaging angle and size are analyzed. Finally, the grayscale images of the HuanJing-1 satellite are simulated. It shows the grayscales for the different regions of the object appear great difference, indicating that the space-based detector needs a larger dynamic range.

Original languageEnglish
Title of host publicationOptics and Photonics for Information Processing IX
EditorsMohammad A. Matin, Abdul A. S. Awwal, Andres Marquez, Mireya Garcia Vazquez, Khan M. Iftekharuddin, Mireya Garcia Vazquez, Khan M. Iftekharuddin, Abdul A. S. Awwal, Mohammad A. Matin, Andres Marquez
PublisherSPIE
ISBN (Electronic)9781628417647, 9781628417647
DOIs
StatePublished - 2015
Event9th Conference of Optics and Photonics for Information Processing - San Diego, United States
Duration: 10 Aug 201512 Aug 2015

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9598
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference9th Conference of Optics and Photonics for Information Processing
Country/TerritoryUnited States
CitySan Diego
Period10/08/1512/08/15

Keywords

  • Bidirectional reflectance distribution function
  • Grayscale image
  • Space object
  • Space optics

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