Advanced Atmospheric Modeling with Perturbation for VNIR/SWIR Hyperspectral Data Analysis

摘要

Models for material reflectance properties, atmospheric effects and hyperspectral sensor proper-ties in the VNIR/SWIR spectral region can be used to predict the detailed spectral structure ofspectra to be measured in future field data collections. It is useful to have databases of predictedspectra that span a wide range of possible atmospheric conditions, given that the ambient envi-ronmental conditions for a measurement are rarely known in advance. A radiative transfer (RT)code such as MODTRAN can be used to model the effects of atmospheric propagation in thepredicted spectra as measured by a remotely deployed sensor. We are generating a database ofoptimized atmospheres that considers variations in solar angle, vertical-path-integrated watervapor density, and aerosol and cloud scatterer types and densities. This database provides alarge set of discrete atmospheres. To improve the accuracy of the atmospheric spectral functionsfor a given hyperspectral image, we have developed an atmospheric perturbation model that isbased on a rigorous physics-based approach to the variation of the spectral functions that arecontained in the database. We will demonstrate how this new approach to atmospheric mod-eling improves the accuracy of models for VNIR/SWIR spectra collected with a space-basedhyperspectral sensor.