Fire source localization under occlusion based on smoke features
Image Processing|更新时间:2026-03-02
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Fire source localization under occlusion based on smoke features
“In the field of fire monitoring, experts have proposed a fire source estimation method based on smoke characteristics, using TANet network and improved RANSAC algorithm to effectively solve the problem of fire source localization under occlusion, providing a new solution for fire monitoring in complex environments.”
Chinese Journal of Liquid Crystals and DisplaysVol. 41, Issue 2, Pages: 294-302(2026)
作者机构:
1. 广东工业大学 信息工程学院, 广东 广州 510006
2. 广东交通职业技术学院 信息学院, 广东 清远 511510
3. 青鸟消防股份有限公司, 北京 100871
4. 先导科技集团有限公司, 广东 广州 510510
5. 精电(河源)显示技术有限公司, 广东 河源 517000
作者简介:
基金信息:
Joint Fund for Regional Innovation and Development of National Natural Science Foundation of China(U24A2078);Supported by the Guangdong Provincial Science and Technology Special Project(2025A041);Supported by the 2024 Identified Scientific Research Project for Regular Higher Education Institutions(2024KTSCX379)
CHEN Kai, XIAO Wenjun, XIANG Ying, et al. Fire source localization under occlusion based on smoke features[J]. Chinese Journal of Liquid Crystals and Displays, 2026, 41(2): 294-302.
DOI:
CHEN Kai, XIAO Wenjun, XIANG Ying, et al. Fire source localization under occlusion based on smoke features[J]. Chinese Journal of Liquid Crystals and Displays, 2026, 41(2): 294-302. DOI: 10.37188/CJLCD.2025-0243. CSTR: 32172.14.CJLCD.2025-0243.
Fire source localization under occlusion based on smoke features