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学科主题: Geochemistry & Geophysics; Engineering, Electrical & Electronic; Remote Sensing
题名: Retrieval of oceanic chlorophyll concentration using support vector machines
作者: Zhan, HG ; Shi, P ; Chen, CQ
会议文集: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
出版日期: 2003
关键词: oceanic chlorophyll ; ocean color remote sensing ; neural network ; support vector machine (SVM)
通讯作者: hgzhan@scsio.ac.cn ; pshi@scsio.ac.cn ; cqchen@scsio.ac.cn
会议网址: 查看原文
收录类别: sci
ISSN: 0196-2892
部门归属: Chinese Acad Sci, S China Sea Inst Oceanol, Key Lab Trop marine Environm Dynam, LED, Guangzhou 510301, Peoples R China
项目归属: LED
摘要: This letter investigates the possibility of using a new universal approximator-support vector machines (SVMs)-as the nonlinear transfer function between oceanic chlorophyll concentration and marine reflectance. The SeaBAM dataset is used to evaluate the proposed approach. Experimental results show that the SVM performs as well as the optimal multilayer perceptron (MLP) and can be a promising alternative to the conventional MLPs for the retrieval of oceanic chlorophyll concentration from marine reflectance.
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内容类型: 会议论文
URI标识: http://ir.scsio.ac.cn/handle/344004/5521
Appears in Collections:热带海洋环境动力学重点实验室(LED)_会议论文

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Recommended Citation:
Zhan, HG; Shi, P; Chen, CQ.Retrieval of oceanic chlorophyll concentration using support vector machines,IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2003,41(12):2947-2951
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文件名: Retrieval of oceanic chlorophyll concentration using support vector.pdf
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