Atmospheric Correction using Imbedded Models (ACUIM)

摘要

Many remote sensing applications rely on accourate spectral estimates of surface reflectance. To transform from measured irradiance to reflectance the contaminatiing effects of internvening atmosphere must be removed. A model-based algorithm is used to perform this transformation. It operates on hyperspectral data collected in the reflective wavelength region (0.4 to 2.5 mu m) where the state of the atmosphere is described by a set of parameters (e.g. water vapor and serosol content). The algorithm embeds an atmospheric model (or a derived database) into an estimation loop that sequentially solves for each parameter using measurements in pre-determined bands. Estimates of the atmospheric state are then used along with the atmospheric modl to develop a set of correction terms, which are applied on a pixel-by-pixel basis across the entire spectrum to convert measured irradiance to reflectance. Emphasis is placed on automation requiring a unique approach to water vapor and visibility estimation.