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A comparison of different optimization algorithms for retrieving aerosol optical depths from satellite data: an example of using a dual-angle algorithm
Mu, Xihan1,2; Shen, Qingfeng3; Li, Zhao-Liang2,4; Yan, Guangjian1; Sobrino, Jose Antonio3
2011
Source PublicationINTERNATIONAL JOURNAL OF REMOTE SENSING
Volume32Issue:24Pages:8949-8968
AbstractOptimization 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.
SubtypeArticle
WOS HeadingsScience & Technology ; Technology
WOS Subject ExtendedRemote Sensing ; Imaging Science & Photographic Technology
WOS KeywordBRDF MODEL INVERSION ; VEGETATION BIOPHYSICAL PARAMETERS ; GAUSS-NEWTON METHOD ; REFLECTANCE DATA ; BIDIRECTIONAL REFLECTANCE ; GEOPHYSICAL PARAMETERS ; ATMOSPHERIC CORRECTION ; SOLAR SPECTRUM ; ERROR ANALYSIS ; LAND
Indexed BySCI
Language英语
WOS SubjectRemote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000298376000004
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/68132
Collection中国科学院地理科学与资源研究所
Corresponding AuthorMu, Xihan
Affiliation1.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
Recommended Citation
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.
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