| 混合光谱分解算法的太湖水体组分浓度反演分析 |
| |
| 引用本文： | 陆超平,吕恒,李云梅.混合光谱分解算法的太湖水体组分浓度反演分析[J].地球信息科学,2011,13(5):687-694. |
| |
| 作者姓名： | 陆超平 吕恒 李云梅 |
| |
| 作者单位： | 南京师范大学虚拟地理环境教育部重点实验室,南京210046 |
| |
| 基金项目： | 国家自然科学基金项目（40701136 40971215）; 国家科技支撑计划项目（2008BAC34B05）; 国家水环境遥感技术体系研究与示范（2009ZX07527-006） |
| |
| 摘 要： | 二类水体组份的遥感定量反演一直是水色遥感的难点和热点问题,原因在于其水体组分(纯水、叶绿素、悬浮物及CDOM)之间复杂的相互作用.本文引入光谱分解算法,通过Hydrolight软件模拟叶绿素、悬浮物和CDOM的标准反射率光谱,解决光谱分解算法中“纯端元”难以获取的问题.在此基础上建立了二类水体组分光谱分解反演模型.模型...
|
| 关 键 词： | 光谱分解 太湖水体 Hydrolight |
| 收稿时间： | 2011-05-12; |
Algorithms Based on Spectral Decomposition Algorithm for Retrieval of Constituents in Taihu Lake |
| |
| LU Chaoping,LV Heng,LI Yunmei.Algorithms Based on Spectral Decomposition Algorithm for Retrieval of Constituents in Taihu Lake[J].Geo-information Science,2011,13(5):687-694. |
| |
| Authors: | LU Chaoping LV Heng LI Yunmei |
| |
| Institution: | (Key Laboratory of Virtual Geographic Environment,Ministry of Education,Nanjing Normal University,Nanjing210046,China) |
| |
| Abstract: | Quantitative remote sensing inversion of constituents in Case II waters has been a difficult and hot issue.It is due to the complex interaction among the constituents（e.g.pure water,phytoplankton,non-phytoplanktonic suspended solids and CDOM）.In this paper we analyze the spectral decomposition algorithm of the optically active substances（OAS） in Taihu Lake.It contains two steps.First step is to obtain standard reflectance spectra of end-members（Chl_a,NPSS,CDOM and pure Water） by simulation experience using Hydrolight;second step is to establish a number of equations（according to the numbers of end-members） obtained from different wavelengths and derive the decomposition coefficients to be used as the independent variables in the SDA-based estimation model.The results show that the decomposition coefficients obtained from spectral decomposition algorithm are highly independent.Moreover,we build the band ratio model based on the same data as the spectral decomposition algorithm.Then we apply the two models to the experimental data in November,2008,and get the average relative error of 22.4% and 37.7%,which shows that to some extent the spectral decomposition algorithm has more seasonal versatility than that of band ratio model.The average relative error of chlorophyll concentration estimation model is 31.7%,which shows low inversion accuracy.The reason may be due to the concentration of chlorophyll is too low compared to non-algal suspended solids concentration.The average concentrations were 17.3μg/L and 78.6mg/L.So,to some extent,the spectral information of chlorophyll is concealed by the high suspended solids. |
| |
| Keywords: | spectral decomposition Taihu waters Hydrolight |
| 本文献已被 维普 等数据库收录！ |
| 点击此处可从《地球信息科学》浏览原始摘要信息 |
| 点击此处可从《地球信息科学》下载免费的PDF全文 |
|
