投稿中心

审稿中心

编辑中心

期刊出版

网站地图

友情链接

引用本文:杨伟,松下文经,陈晋.基于水体反射光谱和组分浓度的固有光学特性反演算法.湖泊科学,2009,21(2):207-214. DOI:10.18307/2009.0208
YANG Wei,Matsushita Bunkei,CHEN Jin.Deriving inherent optical properties through training samples with known concentration of water constituents and reflectance spectra. J. Lake Sci.2009,21(2):207-214. DOI:10.18307/2009.0208
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 5056次   下载 2725 本文二维码信息
码上扫一扫!
分享到: 微信 更多
基于水体反射光谱和组分浓度的固有光学特性反演算法
杨伟1,2, 松下文经2, 陈晋1
1.北京师范大学资源学院, 环境演变与自然灾害教育部重点实验室, 北京 100875;2.日本筑波大学地球科学系, 筑波 305-8572, 日本
摘要:
吸收系数和后向散射系数是水体的固有光学特性参数,在探测水体中各组分浓度的过程中起着至关重要的作用.但通常组分固有光学特性的测定是一个操作复杂且费时费力的过程.提出了一种利用已知组分浓度和相应的反射光谱的水体样本来推定水体中各组分的吸收和后向散射系数的算法,并利用生物光学模型产生的模拟光谱数据对算法的合理性进行了验证.结果表明,在理想的实验条件下(反射光谱满足机理模型,且选取的训练样本相互独立),可以高精度地反演出各组分的固有光学特性,从而证实了本算法在理论上的合理性.
关键词:  后向散射系数  吸收系数  反射光谱  组分浓度
DOI:10.18307/2009.0208
分类号:
基金项目:国家自然科学基金(40871162)资助
Deriving inherent optical properties through training samples with known concentration of water constituents and reflectance spectra
YANG Wei1,2, Matsushita Bunkei2, CHEN Jin1
1.Key Laboratory of Environment Change and Natural Disaster, Ministry of Education of China, College of Resource Science and Technology, Beijing Normal University, Beijing 100875, P. R. China;2.Department of Geography, Tsukuba University, Tsukuba 305-8572, Japan
Abstract:
Coefficients of absorption and backscattering are inherent optical properties (IOPs) of water, which play extraordinarily important roles in the detection of water constituent concentrations. However, it is very complicate and time-consuming to measure the IOPs of waters. In this study, a novel algorithm was proposed to derive the IOPs of water constituents through training samples with measured constituents' concentrations and reflectance spectra. Simulated data based on bio-optical model was used to assess the proposed algorithm. Results demonstrated that when the spectra of samples satisfied the analytical model and the training samples were independent each other, the performance of the algorithm can be accepted, which indicates that the algorithm proposed in this paper is theoretically reasonable.
Key words:  Backscattering coefficient  absorption coefficient  reflectance spectra  concentration of water constituents
分享按钮