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Hyperspectral analysis tools for the multiparameter inversion of water quality factors in coastal regions

机译:沿海地区水质因子多参数反演的高光谱分析工具

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A major modeling effort has been undertaken to develop and refine tools for extracting water quality parameters from remotely-sensed hyperspectral imagery. An outgrowth of this work is HydroMod, a new tool for calculating radiance distributions using realistic environmental conditions for studies involving remote sensing of water quality. HydroMod maters two established premier codes. MODTRAN and HYDROLIGHT. The idea is to simulate the water-leaving spectral radiance above and below the surface for varying inputs of water quality parameters. Spectral measurements can then be compared with this family of model predict ed water-leaving spect ral radiance vectors to find a best match and subsequently the associated water quality parameters that were used to generate the matching curve. The scope of the modeling analysis has been limited to the water-leaving radiance in the vicinity of the surface instead of the radiance reaching the sensor. Once the modeling technique using HydroMod has been refined, the atmospheric correction problem over water can be addressed with greater probability of success and fewer sources of uncertainty. This paper will describe the preliminary results from the model-based approach applied to AVIRIS data of a littoral zone and plans for future refinements in the modeling physics.
机译:已经进行了主要的建模工作,以开发和完善用于从遥感高光谱图像中提取水质参数的工具。这项工作的成果是HydroMod,这是一种使用现实的环境条件来计算辐射分布的新工具,用于涉及水质遥感的研究。 HydroMod会制定两个已建立的首要代码。 MODTRAN和HYDROLIGHT。这个想法是为了改变水质参数的输入,模拟表面上方和下方的留水光谱辐射度。然后可以将光谱测量结果与该模型预测的离开水的光谱辐射向量矢量进行比较,以找到最佳匹配,然后找到用于生成匹配曲线的相关水质参数。建模分析的范围已限于表面附近的放水辐射率,而不是到达传感器的辐射率。一旦完善了使用HydroMod的建模技术,就可以以更大的成功概率和更少的不确定性来源解决水上大气校正问题。本文将描述基于模型的方法应用于滨海区AVIRIS数据的初步结果,以及未来在建模物理学中进行改进的计划。

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