Paper
20 September 2024 Space observation dim target detection of star image background
Hang Yin, Jiaqi Zhang, Youhui Rong, Mengya Liu
Author Affiliations +
Proceedings Volume 13269, Fourth International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2024); 132691B (2024) https://doi.org/10.1117/12.3045800
Event: Fourth International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2024), 2024, Kuala Lumpur, Malaysia
Abstract
Detection of dim target in star image background poses significant challenges due to the presence of noise and variations in object intensities. This paper presents an improvement to conventional pipeline filtering algorithms through the implementation of energy accumulation technique. By accumulating energy from multiple sources, the improved precision achieved in identifying dim targets within intricate celestial environments. The improvement also integrates background suppression and wavelet transform denoising methods to enhance detection efficacy. Through a combination of comprehensive simulations and empirical validation, the enhanced algorithm demonstrates higher success rates and greater robustness in dim target detection compared to conventional methods. The results indicate that the improved algorithm offers enhanced precision in identifying dim target in star image background, thereby advancing capabilities for astronomical research and space exploration endeavors.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Hang Yin, Jiaqi Zhang, Youhui Rong, and Mengya Liu "Space observation dim target detection of star image background", Proc. SPIE 13269, Fourth International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2024), 132691B (20 September 2024); https://doi.org/10.1117/12.3045800
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KEYWORDS
Target detection

Detection and tracking algorithms

Stars

Tunable filters

Image processing

Image filtering

Signal to noise ratio

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