Cloud Feature Recognition and Area Location for Satellite Images based on Information Entropy | |
Miao, Sheng1; Dong L(董亮)2; Gao, Hao1; Wang, Xiaorui1 | |
会议录名称 | International Conference on Intelligent Human-Machine Systems and Cybernetics - 2016 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC), VOL. 2 |
2016 | |
卷号 | 2 |
页码 | 300-302 |
DOI | 10.1109/IHMSC.2016.250 |
会议录编者/会议主办者 | IEEE |
产权排序 | 第2完成单位 |
收录类别 | EI ; CPCI |
会议名称 | 8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) |
会议日期 | 2016-09-11 |
会议地点 | Zhejiang Univ, Hangzhou, PEOPLES R CHINA |
会议赞助商 | IEEE; IEEE Comp Soc; Univ Bristol; Japan Adv Inst Sci & Technol; Beihang Univ |
关键词 | Satellite Images Cloude Recognition Information Entropy Cloud Feature Area Location |
摘要 | Satellite images is the basis of the many subjects research. But usually, many satellite image were covered with cloud more or less. Cloud detection and recognition is very important for satellite analysis. In this paper, we focus on the cloud area recognition and edge detection, our method has two steps, one is cloud image detection, the second step is determine the area of the cloud. The methods include image histogram average and entropy analysis. In the experiment, we contrast cloud detection in different scale image, each one has each shape cloud. The experiment show our method can effectively detect the cloud and the cloud area can also be determined. |
资助项目 | Youth Fund of National Natural Science Foundation of China[11303094] ; Natural Science Foundation Astronomy joint fund of China[U1431113] ; applied basic research program and project of Yunnan province of China[2015FB189] ; Western Light A class talent program of China and Research Center of Kunming Forestry Information Engineering Technology[2015FIB05] |
项目资助者 | Youth Fund of National Natural Science Foundation of China ; Natural Science Foundation Astronomy joint fund of China ; applied basic research program and project of Yunnan province of China ; Western Light A class talent program of China and Research Center of Kunming Forestry Information Engineering Technology |
语种 | 英语 |
学科领域 | 天文学 |
文章类型 | Proceedings Paper |
出版者 | IEEE |
出版地 | 345 E 47TH ST, NEW YORK, NY 10017 USA |
ISBN号 | 978-1-5090-0768-4 |
ISSN号 | 2157-8982 |
URL | 查看原文 |
WOS记录号 | WOS:000391330900069 |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Cybernetics |
关键词[WOS] | Enhancement |
EI入藏号 | 20170403289156 |
EI主题词 | Satellites |
EI分类号 | 655.2satellites |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.ynao.ac.cn/handle/114a53/9929 |
专题 | 射电天文研究组 |
通讯作者 | Dong L(董亮) |
作者单位 | 1.Southwest Forestry University School of Computer and Information, Kunming , China 2.Radio astronomy research group in Yunnan observatory of Chinese academy of science, Kunming , China |
推荐引用方式 GB/T 7714 | Miao, Sheng,Dong L,Gao, Hao,et al. Cloud Feature Recognition and Area Location for Satellite Images based on Information Entropy[C]//IEEE. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2016:300-302. |
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 | ||
Cloud Feature Recogn(372KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 请求全文 |
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