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Small fire smoke region location and recognition in satellite image
Miao, Sheng1,2; Hu, Kunrong1; Gao, Hao1; Wang, Xiaorui3
会议录名称Proceedings - 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016
2017-02
页码714-718
DOI10.1109/CISP-BMEI.2016.7852802
产权排序第3完成单位
收录类别EI
会议名称9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016
会议日期2016-10-15
会议地点Datong, China
关键词Fire Smoke Detection Satellite Image Information Entropy Image Segment
摘要

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. 

资助项目Research Center of Kunming Forestry Information Engineering Technology[2015FIB05] ; Open foundation of Key Laboratory for the Structure and Evolution of Celestial Objects[OP201506]
项目资助者Research Center of Kunming Forestry Information Engineering Technology ; Open foundation of Key Laboratory for the Structure and Evolution of Celestial Objects
语种英语
学科领域天文学
学科门类理学 ; 理学::天文学
文章类型Conference article
出版者Institute of Electrical and Electronics Engineers(IEEE) Inc.
ISBN号978-1-5090-3710-0;978-1-5090-3711-7
URL查看原文
EI入藏号20171303496816
EI主题词Image Segmentation
EI分类号461.1biomedical Engineering - 655.2satellites - 903.3information Retrieval And Use - 914.2Fires And Fire Protection
引用统计
文献类型会议论文
条目标识符http://ir.ynao.ac.cn/handle/114a53/9958
专题射电天文研究组
中国科学院天体结构与演化重点实验室
通讯作者Gao, Hao
作者单位1.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
推荐引用方式
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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