Ocean Color Analysis and an Algorithm for the Retrieval of Multiconstituents Based on Remote Sensing Reflectance

Tang Junwu

doi:10.11834/jrs.19970403

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Ocean Color Analysis and an Algorithm for the Retrieval of Multiconstituents Based on Remote Sensing Reflectance
Issue 4, Pages: 252-256(1997)
Published： 1997 ，
DOI： 10.11834/jrs.19970403

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[1]唐军武,田国良.水色光谱分析与多成分反演算法[J].遥感学报,1997(04):252-256.

Tang Junwu. Ocean Color Analysis and an Algorithm for the Retrieval of Multiconstituents Based on Remote Sensing Reflectance. [J]. Journal of Remote Sensing (4):252-256(1997)
[1]唐军武,田国良.水色光谱分析与多成分反演算法[J].遥感学报,1997(04):252-256. DOI： 10.11834/jrs.19970403.

Tang Junwu. Ocean Color Analysis and an Algorithm for the Retrieval of Multiconstituents Based on Remote Sensing Reflectance. [J]. Journal of Remote Sensing (4):252-256(1997) DOI： 10.11834/jrs.19970403.

摘要

影响水体可见光近红外遥感信息提取精度的因素除大气修正外

主要是对水体（海洋）光谱与水体所含物质成分之间的作用机理了解得不够。由于水体光谱的机理与陆地地物波谱的机理有很大的差别

其光谱数据的测量和分析方法也不一样。该文首先较为完整地描述了以叶绿素、悬浮泥沙、黄色物质为主要水体成分的水色机理

以及遥感反射率与各成分散射与吸收的关系

确定了进行水体光谱分析所必须的关键参数

然后提出一种基于局域水体的多成分同时反演的算法。这种算法不同于以往一种算法反演一种物质成分的模式。

Abstract

Beside atmospheric correction

another major factor that influences the precision of water color sensing is the unknown spectral characteristics of the water. Because of inherent different characters

there is great difference between the spectral measurement and analysis of lands and that of waters. In this paper

we first describe the relationship between remote sensing reflectance and the constituents of the water then propose an algorithm that can retrieve the concentrations of the main constituents of the water

which is different from the models of one algorithm for one constituent.

关键词

光谱分析水色算法

Keywords

Ocean color sensingBio-optical algorithm

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