A comparison of different optimization algorithms for retrieving aerosol optical depths from satellite data: an example of using a dual-angle algorithm

	A comparison of different optimization algorithms for retrieving aerosol optical depths from satellite data: an example of using a dual-angle algorithm
	Mu, Xihan 1,2; Shen, Qingfeng 3; Li, Zhao-Liang 2,4; Yan, Guangjian 1; Sobrino, Jose Antonio 3
刊名	INTERNATIONAL JOURNAL OF REMOTE SENSING
	2011
卷号	32 期号:24 页码:8949-8968
文献子类	Article
英文摘要	Optimization techniques are often used in remote sensing retrieval of surface or atmospheric parameters. Nevertheless, different algorithms may exhibit different performances for the same optimization problem. Comparison of some classic optimization approaches in this article aims to select the best method for retrieving aerosol opacity, or even for other parameters, from remotely sensed data. Eight frequently used optimization algorithms were evaluated using both simulated data and actual AATSR (advanced along track scanning radiometer) data. Several typical land cover types and aerosol opacity levels were also considered in the simulations to make the tests more representative. It was observed that the absolute error in retrieval would rise after a certain number of iterations due to the round-off error, and the algorithms showed different performances in the inversions without any a priori knowledge. When combined with reasonable a priori knowledge, the selection of various algorithms only slightly affected the retrieval accuracy. Given a summary of all the comparison tests, a special class named 'trust-region methods' (TR) was demonstrated to be the optimal choice in general cases. In contrast, some widely used optimization methods in aerosol research, for example, the Levenberg-Marquardt (LM) algorithm, seemed not to display a persuasive performance.
WOS关键词	BRDF MODEL INVERSION ; VEGETATION BIOPHYSICAL PARAMETERS ; GAUSS-NEWTON METHOD ; REFLECTANCE DATA ; BIDIRECTIONAL REFLECTANCE ; GEOPHYSICAL PARAMETERS ; ATMOSPHERIC CORRECTION ; SOLAR SPECTRUM ; ERROR ANALYSIS ; LAND
语种	英语
出版者	TAYLOR & FRANCIS LTD
WOS记录号	WOS:000298376000004
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/68131]
专题	中国科学院地理科学与资源研究所
通讯作者	Mu, Xihan
作者单位	1.Beijing Normal Univ, Sch Geog, Beijing Key Lab Remote Sensing Environm & Digital, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China 2.CNRS, UMR7005, TRIO, LSIIT, F-67412 Illkirch Graffenstaden, France 3.Univ Valencia, Image Proc Lab, E-46980 Paterna, Spain 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Mu, Xihan,Shen, Qingfeng,Li, Zhao-Liang,et al. A comparison of different optimization algorithms for retrieving aerosol optical depths from satellite data: an example of using a dual-angle algorithm[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2011,32(24):8949-8968.
APA	Mu, Xihan,Shen, Qingfeng,Li, Zhao-Liang,Yan, Guangjian,&Sobrino, Jose Antonio.(2011).A comparison of different optimization algorithms for retrieving aerosol optical depths from satellite data: an example of using a dual-angle algorithm.INTERNATIONAL JOURNAL OF REMOTE SENSING,32(24),8949-8968.
MLA	Mu, Xihan,et al."A comparison of different optimization algorithms for retrieving aerosol optical depths from satellite data: an example of using a dual-angle algorithm".INTERNATIONAL JOURNAL OF REMOTE SENSING 32.24(2011):8949-8968.