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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
DOI10.1109/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
学科门类理学 ; 理学::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.
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