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Small fire smoke region location and recognition in satellite image

文献类型：会议论文

作者Miao, Sheng1,2; Hu, Kunrong1; Gao, Hao1; Wang, Xiaorui3
出版日期2017-02
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
页码714-718
通讯作者Gao, Hao
英文摘要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. 
收录类别EI
产权排序第3完成单位
会议网址http://ieeexplore.ieee.org/document/7852802/
会议录Proceedings - 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016
会议录出版者Institute of Electrical and Electronics Engineers(IEEE) Inc.
学科主题天文学
语种英语
ISBN号978-1-5090-3710-0;978-1-5090-3711-7
源URL[http://ir.ynao.ac.cn/handle/114a53/9958]  
专题云南天文台_射电天文研究组
云南天文台_中国科学院天体结构与演化重点实验室
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]. 见:9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016. Datong, China. 2016-10-15.http://ieeexplore.ieee.org/document/7852802/.

入库方式： OAI收割

来源：云南天文台

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