Paper
23 August 2000 Atmospheric correction using imbedded models (ACUIM)
Anthony M. Sommese, Mark Essel, David S. Weiss, Fredrick C. Mertz, Sally Westmoreland
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Abstract
Many remote sensing applications rely on accurate spectral estimates of surface reflectance. To transform from measured irradiance to reflectance the contaminating effects of intervening 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 pm) where the state of the atmosphere is described by a set of parameters (e.g. water vapor and aerosol 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 model 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. Algorithm performance is demonstrated against AVIRIS and HYDICE collections taken over the Atmospheric Radiation Measurement site near Lamont, OK. Estimates of total integrated water vapor and visibility (aerosol content) are compared to external measurements provided by meteorological instruments. Also reflectance estimates of the gray and spectral reflectance panels are compared to field measurements.
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Anthony M. Sommese, Mark Essel, David S. Weiss, Fredrick C. Mertz, and Sally Westmoreland "Atmospheric correction using imbedded models (ACUIM)", Proc. SPIE 4049, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI, (23 August 2000); https://doi.org/10.1117/12.410365
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KEYWORDS
Reflectivity

Atmospheric modeling

Visibility

Absorption

Atmospheric particles

Aerosols

Vegetation

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