Small fire smoke region location and recognition in satellite image | |
Miao, Sheng1,2; Hu, Kunrong1; Gao, Hao1; Wang, Xiaorui3 | |
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 |
内容类型 | 会议论文 |
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/. |
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