高光谱遥感影像地表反射率一体化反演模型研究

项目名称： 高光谱遥感影像地表反射率一体化反演模型研究

项目编号： No.41201348

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 地理学

项目作者： 杨杭

作者单位： 中国科学院遥感与数字地球研究所

项目金额： 25万元

中文摘要： 对高光谱数据进行大气校正并获取地表反射率光谱曲线是高光谱数据成功应用的重要前提。以CASI/HJ-1 HSI/EO-1 Hyperion等航空或卫星高光谱数据为数据源，通过研究大气辐射传输机理和高光谱成像技术原理，建立辐射传输模型、邻近效应校正模型、漫反射辐射地形校正模型和反演结果评价指标，在此基础上展开气溶胶光学厚度、大气水汽含量反演技术的研究，发展相应的反演算法模型，得到气溶胶光学厚度、大气水汽含量反演结果，借助于辐射传输模型、漫反射辐射地形校正模型、邻近效应校正模型和查找表，反演地表反射率值；根据反演结果评价指标，采用地基同步测量值对气溶胶光学厚度、水汽含量和地表反射率反演结果和精度进行验证与评价。本研究以高光谱数据自身提供的信息进行大气参数和地表反射率反演，避免了大气校正过程中同步大气参数难以获取的困难，整个过程基于影像本身信息、全自动化执行，无需其它辅助信息。

中文关键词： 高光谱遥感；地表反射率；气溶胶光学厚度；大气水汽；反演

英文摘要： Application of Atmospheric correction in Hyperspectral remote sensing is indispensable to retrieve surface reflectance spectra and it is an important precondition for successful application of hyperspectral dataset. In this study, data sources include airborne or spaceborne hypspectral images,such as CASI,HJ-1 HSI or EO-1 Hyperion etc. airborne or spaceboren Hyperspectral, was chosen as a data source. By studying the mechanism of radiative transfer and principles of hyperspectral imaging technology, we built up radiative transfer model, adjacency effect correction model, topographic correction model for diffuse irradiance and retrieval results evaluation method. And then, the method for Aerosol Optical Thickness (AOT) and Column Water Vapor (CWV) retrieval were researched, and corresponding algorithms were developed by which AOT and CWV results were retrieved. AOT and CWV results, combined with predefined models and multi-dimensional look up table, were used to retrieve surface reflectance spectra. Finally, the AOT, CWV and surface reflectance spectra results were validated by in situ measurements based on evaluation method. In this study, the atmospheric parameters and surface reflectance were retrieved from the information provided by the Hyperspectral data itself, avoiding the difficulty to acquire synchroniz

英文关键词： hyperspectral remote sensing；surface reflectance；aerosol optical thickness；water vapor；retrieval