Retrieval of oceanic chlorophyll concentration using support vector machines

	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
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.