中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Aerosol retrieval from remote sensing image using artificial neural network

文献类型:会议论文

作者Wang,Houmao ; Tang,Jiakui
出版日期2010
会议日期2010-10-22
关键词Atmospheric Aerosols Computer Applications Image Reconstruction Interpolation Remote Sensing
页码V5551 - V5555
通讯作者Wang, H.
英文摘要The usual method of aerosol retrieval using remote sensing is interpolation of look-up-table (LUT), but it is too time-consuming. However, artificial neural network for nonlinear problem has been not applied widely for aerosol retrieval before. In this paper, aerosol optical depth (AOD) is retrieved using two methods: interpolation and neural network. Then, the retrieval capabilities of the two methods were compared. By comparison, not only is the retrieval error of the neural network within acceptable range, but also it can reduce much processing time. © 2010 IEEE.
产权排序(1) Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, China
会议录ICCASM 2010 - 2010 International Conference on Computer Application and System Modeling, Proceedings
会议录出版者IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States
学科主题大气科学
语种英语
URL标识查看原文
ISBN号ISBN-13:9781424472369
源URL[http://ir.yic.ac.cn/handle/133337/4728]  
专题烟台海岸带研究所_海岸带信息集成与综合管理实验室
推荐引用方式
GB/T 7714
Wang,Houmao,Tang,Jiakui. Aerosol retrieval from remote sensing image using artificial neural network[C]. 见:. 2010-10-22.

入库方式: OAI收割

来源:烟台海岸带研究所

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