Aerosol retrieval from remote sensing image using artificial neural network

YIC-IR > 中国科学院海岸带环境过程与生态修复重点实验室 > 海岸带信息集成与战略规划研究中心

	Aerosol retrieval from remote sensing image using artificial neural network
	Wang,Houmao ; Tang,Jiakui
通讯作者	Wang, H.
	2010
会议名称	2010 International Conference on Computer Application and System Modeling, ICCASM 2010
页码	V5551 - V5555
会议日期	2010-10-22
ISBN号	ISBN-13:9781424472369
产权排序	(1) Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, China
关键词	Atmospheric Aerosols Computer Applications Image Reconstruction Interpolation Remote Sensing
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.
作者部门	信息集成与应用实验室
学科领域	大气科学
URL	查看原文
语种	英语
文献类型	会议论文
条目标识符	http://ir.yic.ac.cn/handle/133337/4727
专题	中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心
推荐引用方式 GB/T 7714	Wang,Houmao,Tang,Jiakui. Aerosol retrieval from remote sensing image using artificial neural network[C]:IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States,2010:V5551 - V5555.

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