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Proceedings Paper

SHARC method for fast atmospheric correction of hyperspectral data
Author(s): Leonid V. Katkovsky; Anton O. Martenov; Volha A. Siliuk; Dimitry A. Ivanov
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Paper Abstract

Atmospheric correction is a necessary step in image processing data and spectra recorded by spaceborne sensors for pure cloudless atmosphere, primarily in the visible and near-IR spectral range. We have present a fast and sufficiently accurate method of atmospheric correction based on the proposed analytical solutions describing with high accuracy the spectrum of outgoing radiation at the top boundary of the cloudless atmosphere. This technique includes the model of the atmosphere and its optical parameters that are important in terms of radiation transfer. The solution of the inverse problem for finding unknown parameters of the model is carried out by the method of non-linear least squares (Levenberg-Marquardt algorithm) for an individual selected pixel of the image (its spectrum), taking into account the adjacency effects. Using the found parameters of the atmosphere and the average surface reflectance, assuming homogeneity of the atmosphere within a certain area of the hyperspectral image (around dark pixel), the spectral reflectance at the Earth's surface is calculated for all other pixels. It is essential that the procedure of the numerical simulation with non-linear least squares of the direct transfer problem is based on using analytical solutions, which provides a very short calculation time of the atmospheric parameters (seconds or less) and the ability to perform atmospheric correction "on- y." The developed technique SHARC (Sattelite Hypercube Atmosheric Rapid Correction) was performed using the synthetic outgoing radiation spectra at the top of atmosphere (TOA), obtained by exact radiative transfer calculations (COART and LibRadTran codes), as well as the spectra of real space images Hyperion hyper- spectrometer.

Paper Details

Date Published: 9 October 2018
PDF: 13 pages
Proc. SPIE 10786, Remote Sensing of Clouds and the Atmosphere XXIII, 1078609 (9 October 2018); doi: 10.1117/12.2323455
Show Author Affiliations
Leonid V. Katkovsky, Belarus State Univ. (Belarus)
Anton O. Martenov, Belarus State Univ. (Belarus)
Volha A. Siliuk, Belarus State Univ. (Belarus)
Dimitry A. Ivanov, Belarusian State Univ. (Belarus)
A.V. Luikov Heat and Mass Transfer Institute (Belarus)


Published in SPIE Proceedings Vol. 10786:
Remote Sensing of Clouds and the Atmosphere XXIII
Adolfo Comerón; Evgueni I. Kassianov; Klaus Schäfer; Richard H. Picard; Konradin Weber, Editor(s)

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