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Proceedings Paper

Geo-atmospheric processing of wide-FOV airborne imaging spectrometry data
Author(s): Rudolf Richter; Daniel Schlapfer
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Paper Abstract

A combined geometric and atmospheric correction processing chain for hyperspectral imagery has been developed. The paper first describes the ortho-rectification solution for the geometric part employing a parametric geocoding approach (PARGE model). The model includes all navigation parameters in a forward transformation methodology. Its basic method and implementation principles are depicted. The output of the processor are the geocoded imagery and interface layers to the atmospheric/topographic correction. The radiometric correction of atmospheric and topographic effects is the second part of the preprocessing (model ATCOR 4). The method accounts for the angular and elevation dependence of the path radiance and atmospheric transmittance functions to remove atmospheric and topographic effects. It uses a database of look-up tables of the atmospheric correction function (path radiance, atmospheric transmittance, direct and diffuse solar flux) calculated with the MODTRAN 4 radiative transfer code. The influence of the adjacency effect is included during the calculation of the surface reflectance cube. Additionally, the terrain shape obtained from a digital elevation model is taken into account for the reflectance computation in a rugged area. For sensors with one or more thermal bands the surface temperature can also be calculated. As an option, value adding channels can be derived, such as LAI, FPAR, albedo, absorbed solar radiation flux, and for coregistered reflective and thermal band sensors the net radiation and heat fluxes. Examples of processing of hyperspectral imagery in flat and rugged terrain will be presented.

Paper Details

Date Published: 23 January 2002
PDF: 10 pages
Proc. SPIE 4545, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology, (23 January 2002); doi: 10.1117/12.453681
Show Author Affiliations
Rudolf Richter, DLR (Germany)
Daniel Schlapfer, Univ. Zurich (Switzerland)


Published in SPIE Proceedings Vol. 4545:
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology
Manfred Ehlers, Editor(s)

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