中国科学院南海海洋研究所机构知识库
Advanced  
SCSIO OpenIR  > 热带海洋环境国家重点实验室(LTO)  > 期刊论文
学科主题: Multidisciplinary Sciences
题名: A Bayesian based quasi-analytical algorithm for retrieved of inherent optical properties from ocean color
作者: Zhan, HG ; Shi, P ; Chen, CQ
通讯作者: hgzhan@scsio.ac.cn
关键词: ocean color remote sensing ; inherent optical properties ; Bayesian inversion
刊名: CHINESE SCIENCE BULLETIN
发表日期: 2005
卷: 50, 期:23, 页:2770-2777
收录类别: sci
部门归属: Chinese Acad Sci, LED, S China Sea Inst Oceanol, Guangzhou 510301, Peoples R China
项目归属: LED
摘要: The recently developed quasi-analytical algorithm (QAA) is a promising algorithm for deriving inherent optical properties from ocean color. Unlike the conventional semi-analytical algorithm, QAA does not need a priori knowledge of the spectral shape of chlorophyll absorption. However, several empirical relations, which may not be universally applicable and can result in low noise tolerance, are involved in QAA. In this study, the Bayesian inversion theory is introduced to improve the performance of QAA. In the estimation of total absorption coefficient at the reference wavelength, instead of empirical algorithms used in the QAA, the Bayesian approach is employed in combination with an optical model that uses separate parameters to account explicitly for the contribution of molecular and particle scatterings to remote sensing reflectance, a priori knowledge produced by the QAA, the Akaike's Bayesian information criterion (ABIC) for choosing, the optimal regularization parameter, and genetic algorithms for global optimization. Coefficients at other wavelengths are then derived using an empirical estimate of particle backscattering spectral shape. When applied to a simulated dataset synthesized by IOCCC the Bayesian algorithm outperforms QAA algorithm, especially in higher chlorophyll concentration waters. The root mean square errors (RMSEs) between the true and the derived a(440) and b(b)(440) are reduced from 0.918 and 0.039 m(-1) for QAA-555 to 0.367 and 0.023 m(-1) for Bayes-555, 0.205 and 0.007 m(-1) for QAA-640 to 0.092 and 0.005 m(-1) for Bayes-640, and 0.207 and 0.007 m(-1) for QAA-blending to 0.096 and 0.005 m(-1) for Bayes-blending. Results of noise sensitivity analysis show that the Bayesian algorithm is more robust than QAA.
WOS记录号: WOS:000235457300018
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.scsio.ac.cn/handle/344004/5675
Appears in Collections:热带海洋环境动力实验室(LTO)_期刊论文

Files in This Item: Download All
File Name/ File Size Content Type Version Access License
A Bayesian based quasianalytical algorithm for retrieval of inherent optical properties from ocean color.pdf(386KB)----开放获取--View Download

Recommended Citation:
Zhan, HG; Shi, P; Chen, CQ.A Bayesian based quasi-analytical algorithm for retrieved of inherent optical properties from ocean color,CHINESE SCIENCE BULLETIN,2005,50(23):2770-2777
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Zhan, HG]'s Articles
[Shi, P]'s Articles
[Chen, CQ]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Zhan, HG]‘s Articles
[Shi, P]‘s Articles
[Chen, CQ]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
文件名: A Bayesian based quasianalytical algorithm for retrieval of inherent optical properties from ocean color.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2017  中国科学院南海海洋研究所 - Feedback
Powered by CSpace