The source code for the paper 'Adaptive Detection of Fast Moving Celestial Objects Using a Mixture of Experts and Physical-Inspired Neural Network'
贾鹏
The code, written in Python 3, facilitates the detection of fast-moving targets. It can be used directly for detection without additional training because it incorporates prior knowledge about the observation mode and the characteristics of the instruments used. This encoding of prior information allows the system to effectively identify and track targets immediately.
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sourcecode.7z
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Paper Information
Paper Title:
Adaptive Detection of Fast Moving Celestial Objects Using a Mixture of Experts and Physical-Inspired Neural Network
Publication:
The Astronomical Journal
Identifiers
CSTR:
11379.19.101585
DOI:
10.12149/101585
VO Identifier:
ivo://China-VO/paperdata/101585
Publication Date:
2025-04-11
Citation Guidelines
贾鹏 et al. 2025. The source code for the paper 'Adaptive Detection of Fast Moving Celestial Objects Using a Mixture of Experts and Physical-Inspired Neural Network'. Version 1.0. https://doi.org/10.12149/101585
@misc{10.12149/101585,
doi = {10.12149/101585},
url = {https://doi.org/10.12149/101585},
author = {贾鹏},
title = {The source code for the paper 'Adaptive Detection of Fast Moving Celestial Objects Using a Mixture of Experts and Physical-Inspired Neural Network'},
version = {1.0},
publisher = {Nataional Astronomical Data Center of China},
year= {2025}
}
doi = {10.12149/101585},
url = {https://doi.org/10.12149/101585},
author = {贾鹏},
title = {The source code for the paper 'Adaptive Detection of Fast Moving Celestial Objects Using a Mixture of Experts and Physical-Inspired Neural Network'},
version = {1.0},
publisher = {Nataional Astronomical Data Center of China},
year= {2025}
}
Versions
Main
This DOI represents all versions, and will always resolve to the latest one.
2025-04-11