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 |
DOI | 10.1109/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 |
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. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Small fire smoke reg(807KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 请求全文 |
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