Source Code for the paper: A Deep Learning Based Astronomical Target Detection Framework for Multi-Colour Photometry Sky Survey Projects
Peng Jia
This is the source code for the paper: A Deep Learning Based Astronomical Target Detection Framework for Multi-Colour Photometry Sky Survey Projects. The code could be used for detection of celestial objects of different size from multi-colour photometry sky survery data. Also, it could be used for other target detection task. The docker version would be provided under request.
Files
Object_detection.zip
359.88 MB
Paper Information
Paper Title:
A Deep Learning Based Astronomical Target Detection Framework for Multi-Colour Photometry Sky Survey Projects
Publication:
Astronomy and Computing
Identifiers
CSTR:
11379.11.101190
DOI:
10.12149/101190
VO Identifier:
ivo://China-VO/paperdata/101190
Publication Date:
2023-01-18
Citation Guidelines
Peng Jia et al. 2023. Source Code for the paper: A Deep Learning Based Astronomical Target Detection Framework for Multi-Colour Photometry Sky Survey Projects. Version 1.0. https://doi.org/10.12149/101190
@misc{10.12149/101190,
doi = {10.12149/101190},
url = {https://doi.org/10.12149/101190},
author = {Peng Jia},
title = {Source Code for the paper: A Deep Learning Based Astronomical Target Detection Framework for Multi-Colour Photometry Sky Survey Projects },
version = {1.0},
publisher = {Nataional Astronomical Data Center of China},
year= {2023}
}
doi = {10.12149/101190},
url = {https://doi.org/10.12149/101190},
author = {Peng Jia},
title = {Source Code for the paper: A Deep Learning Based Astronomical Target Detection Framework for Multi-Colour Photometry Sky Survey Projects },
version = {1.0},
publisher = {Nataional Astronomical Data Center of China},
year= {2023}
}
Versions
Main
This DOI represents all versions, and will always resolve to the latest one.
2023-01-18