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Small fire smoke region location and recognition in satellite image
Miao, Sheng1,2; Hu, Kunrong1; Gao, Hao1; Wang, Xiaorui3
Source PublicationProceedings - 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016
2017-02
Pages714-718
DOI10.1109/CISP-BMEI.2016.7852802
Contribution Rank第3完成单位
Indexed ByEI
Conference Name9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016
Conference Date2016-10-15
Conference PlaceDatong, China
KeywordFire Smoke Detection Satellite Image Information Entropy Image Segment
Abstract

Since ancient times, forest fires are an important threat to human beings, with the development of satellite technology, forest fires can be constantly monitored by satellite. But face to number of satellite pictures, its hard to detect fire location, especially the fire initial stage. An sub-region detection method has been proposed, this method supply fast partition domain detection method using information entropy, fast detect each sub-region whether there is smoke feature or not. Due to the satellite image has large region, our method first segment the image and then detect the smoke feature in each sub-region using information entropy. More than 50 pictures has been used to test this methods, shows this algorithm the effectiveness of small range fire detection. 

Funding ProjectResearch Center of Kunming Forestry Information Engineering Technology[2015FIB05] ; Open foundation of Key Laboratory for the Structure and Evolution of Celestial Objects[OP201506]
Funding OrganizationResearch Center of Kunming Forestry Information Engineering Technology ; Open foundation of Key Laboratory for the Structure and Evolution of Celestial Objects
Language英语
Subject Area天文学
MOST Discipline Catalogue理学 ; 理学::天文学
SubtypeConference article
PublisherInstitute of Electrical and Electronics Engineers(IEEE) Inc.
ISBN978-1-5090-3710-0;978-1-5090-3711-7
URL查看原文
EI Accession Number20171303496816
EI KeywordsImage Segmentation
EI Classification Number461.1biomedical Engineering - 655.2satellites - 903.3information Retrieval And Use - 914.2Fires And Fire Protection
Citation statistics
Document Type会议论文
Identifierhttp://ir.ynao.ac.cn/handle/114a53/9958
Collection射电天文研究组
中国科学院天体结构与演化重点实验室
Corresponding AuthorGao, Hao
Affiliation1.Southwest Forestry University, Kunming, China
2.Key Laboratory for the Structure and Evolution of Celestial Objects, Chinese Academy of Sciences, Kunming, China
3.Radio Astronomy Research Group, Yunnan Observatory of Chinese Academy of Science, Kunming, China
Recommended Citation
GB/T 7714
Miao, Sheng,Hu, Kunrong,Gao, Hao,et al. Small fire smoke region location and recognition in satellite image[C]:Institute of Electrical and Electronics Engineers(IEEE) Inc.,2017:714-718.
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