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Strip Smoke and Cloud Recognition in Satellite Image

文献类型：会议论文

作者Miao, Sheng1,2; Lin, Hong1; Gao, Hao1; Dong L(董亮)3
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Satellite image Strip smoke Image edge detection Cloud and smoke
页码303-307
通讯作者Gao, Hao
英文摘要Forest fire detection based on the satellite image is an important method for fire warning. In the early stage of the forest fire, smoke is a key feature to detect. But both the smoke and cloud are mist shape, which has similar shape. For most smoke satellite image, The smoke is in the shape of a strip, for this feature, an method using edge detection to recognize smoke and cloud has been proposed. This algorithm detect the region covered with mist, and recognize the shape of the mist area using edge detection, to effectively recognize cloud and smoke. More than 30 images with cloud and strip smoke are used to test this method show the method can effectively detect strip smoke.
收录类别EI
产权排序第3完成单位
会议网址http://ieeexplore.ieee.org/document/7852726/
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/114a53/9960]  
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,Lin, Hong,Gao, Hao,et al. Strip Smoke and Cloud 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/7852726/.

入库方式： OAI收割

来源：云南天文台

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