Retrieval of oceanic chlorophyll concentration using support vector machines
Zhan, HG; Shi, P; Chen, CQ; hgzhan@scsio.ac.cn; pshi@scsio.ac.cn; cqchen@scsio.ac.cn
2003
会议录名称IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
卷号41
期号12
页码2947-2951
ISSN0196-2892
部门归属Chinese Acad Sci, S China Sea Inst Oceanol, Key Lab Trop marine Environm Dynam, LED, Guangzhou 510301, Peoples R China
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.
关键词Oceanic Chlorophyll Ocean Color Remote Sensing Neural Network Support Vector Machine (Svm)
学科领域Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing
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收录类别sci
资助项目LED
WOS记录号WOS:000188376700003
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被引频次:45[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.scsio.ac.cn/handle/344004/5521
专题热带海洋环境国家重点实验室(LTO)
通讯作者hgzhan@scsio.ac.cn; pshi@scsio.ac.cn; cqchen@scsio.ac.cn
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GB/T 7714
Zhan, HG,Shi, P,Chen, CQ,et al. Retrieval of oceanic chlorophyll concentration using support vector machines[C],2003:2947-2951.
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