Retrieval of oceanic chlorophyll concentration using support vector machines | |
Zhan, HG ; Shi, P ; Chen, CQ | |
2003 | |
关键词 | oceanic chlorophyll ocean color remote sensing neural network support vector machine (SVM) |
卷号 | 41 |
期号 | 12 |
页码 | 2947-2951 |
通讯作者 | hgzhan@scsio.ac.cn ; pshi@scsio.ac.cn ; cqchen@scsio.ac.cn |
中文摘要 | 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. |
收录类别 | SCI |
会议网址 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
会议录 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
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学科主题 | Geochemistry & Geophysics; Engineering, Electrical & Electronic; Remote Sensing |
ISSN号 | 0196-2892 |
WOS记录号 | WOS:000188376700003 |
内容类型 | 会议论文 |
源URL | [http://ir.scsio.ac.cn/handle/344004/5521] ![]() |
专题 | 南海海洋研究所_热带海洋环境国家重点实验室(LTO) |
推荐引用方式 GB/T 7714 | Zhan, HG,Shi, P,Chen, CQ. Retrieval of oceanic chlorophyll concentration using support vector machines[C]. 见:.IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. |
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