Paper
13 April 2015 A limb atmospheric radiance inversion method based on a sun-synchronous orbit satellite
Yucui Dong, Fansheng Chen, Yun Wang, Xiaofeng Su, Wei Wang
Author Affiliations +
Proceedings Volume 9522, Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics 2014, Part II; 95222C (2015) https://doi.org/10.1117/12.2180861
Event: Selected Proceedings of the Photoelectronic Technology Committee Conferences held August-October 2014, 2014, China, China
Abstract
It is always affected by the influence of limb atmosphere when the space-based remote sensing systems detect spatial targets using limb observation mode. In this paper, the characteristics of the limb atmosphere and the impact of limb atmosphere to target observation are theoretical modeled. Based on the model, we propose an algorithm to compute the vertical structure of atmosphere radiance through the image of limb atmosphere as well as the star image. Realization of atmosphere radiance under similar situation can then be computed based on inversion algorithm proposed in the paper. The stellar images of different areas including areas over Antarctic and Equator are captured by in-orbit space borne camera. The method of how to inverse from the gray image to atmosphere limb radiance in engineering applications is described in detail and statistical analysis of the result of inversion to limb atmosphere radiance is conducted whose trend is consistent with simulation result of MODTRAN which increases at lower altitude to a peak value then drop to zero slowly while there are two peaks in the statistical radiance distribution curves illustrating the polar light over Antarctic.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yucui Dong, Fansheng Chen, Yun Wang, Xiaofeng Su, and Wei Wang "A limb atmospheric radiance inversion method based on a sun-synchronous orbit satellite", Proc. SPIE 9522, Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics 2014, Part II, 95222C (13 April 2015); https://doi.org/10.1117/12.2180861
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KEYWORDS
Stars

Atmospheric modeling

Earth's atmosphere

Cameras

Cryogenics

Target detection

Satellites

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