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学科主题: Multidisciplinary Sciences
题名: Inversion of oceanic chlorophyll concentrations by neural networks
作者: Zhan, HG ; Shi, P ; Chen, CQ
通讯作者: Zhan, HG, Chinese Acad Sci, S China Sea Inst Oceanog, Guangzhou 510301, Peoples R China
关键词: neural network ; chlorophyll concentration ; remote sensing reflectance ; inversion ; Case II waters
刊名: CHINESE SCIENCE BULLETIN
发表日期: 2001
卷: 46, 期:2, 页:158-161
收录类别: sci
部门归属: Chinese Acad Sci, S China Sea Inst Oceanog, Guangzhou 510301, Peoples R China; Chinese Acad Fisheries Sci, S China Sea Fisheries Inst, Guangzhou 510300, Peoples R China
项目归属: LED
摘要: Neural networks (NNs) for the inversion of chlorophyll concentrations from remote sensing reflectance measurements were designed and trained on a subset of the SeaBAM data set. The remaining SeaBAM data set was then applied to evaluating the performance of NNs and compared with those of the SeaBAM empirical algorithms, NNs achieved better inversion accuracy than the empirical algorithms in most of chlorophyll concentration range, especially in the intermediate and high chlorophyll regions and Case II waters, Systematic overestimation existed in the very low chlorophyll (<0.031 mg/m(3)) region, and little improvement was obtained by changing the size of the training data set.
原文出处: 查看原文
WOS记录号: WOS:000167010200016
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内容类型: 期刊论文
URI标识: http://ir.scsio.ac.cn/handle/344004/5495
Appears in Collections:热带海洋环境动力实验室(LTO)_期刊论文

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Zhan, HG; Shi, P; Chen, CQ.Inversion of oceanic chlorophyll concentrations by neural networks,CHINESE SCIENCE BULLETIN,2001,46(2):158-161
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