Paper
12 March 2020 An image tracking system for occultation detection of spaceborne spectrometer
Fei Yu, Feng Zhang, Zhongyang Hao, Ziyin Chen, Cheng Liu, Shuai Hou
Author Affiliations +
Abstract
When the Satellite-borne very high infrared spectrometer performs atmospheric composition analysis, it needs to use the sun as a light source for occultation detection. The stability of the light source is related to the detection accuracy. In general, it is believed that the light distribution within the maximum solar intensity range is the most stable and it is necessary to accurately identify and track this range. However, due to the inhomogeneous atmosphere and the change of atmospheric density, the solar image will have deformation or block, which affects the accuracy of target recognition and tracking. This paper proposes a multi-objective clustering-based recognition method to solve the problem of accurate multi-target identification under the large dynamic light intensity range, and uses the hardware structure of FPGA+DSP to realize the imaging and tracking system.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fei Yu, Feng Zhang, Zhongyang Hao, Ziyin Chen, Cheng Liu, and Shuai Hou "An image tracking system for occultation detection of spaceborne spectrometer", Proc. SPIE 11434, 2019 International Conference on Optical Instruments and Technology: Optical Systems and Modern Optoelectronic Instruments, 114340L (12 March 2020); https://doi.org/10.1117/12.2543180
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Spectroscopy

Infrared spectroscopy

Target recognition

Sun

Imaging systems

RELATED CONTENT


Back to Top