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Proceedings Paper

Fast atmospheric correction algorithm based on the darkest pixel approach for retrieving the aerosol optical thickness: comparison with in-situ AOT measurements
Author(s): Kyriacos Themistocleous; Diofantos G. Hadjimitsis; Dimitrios Alexakis
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Paper Abstract

Darkest pixel atmospheric correction is the simplest and fully image-based correction method. This paper presents an overview of a proposed 'fast atmospheric correction algorithm' developed at MATLAB based on the RT equation basics and the darkest pixel approach. The task is to retrieve the aerosol optical thickness (AOT) from the application of this atmospheric correction. The effectiveness of this algorithm is performed by comparing the AOT values from the algorithm with those measured in-situ both from MICROTOPS II hand-held sunphotometer and the CIMEL sunphotometer (AERONET).

Paper Details

Date Published: 26 October 2011
PDF: 9 pages
Proc. SPIE 8177, Remote Sensing of Clouds and the Atmosphere XVI, 81770B (26 October 2011); doi: 10.1117/12.898593
Show Author Affiliations
Kyriacos Themistocleous, Cyprus Univ. of Technology (Cyprus)
Diofantos G. Hadjimitsis, Cyprus Univ. of Technology (Cyprus)
Dimitrios Alexakis, Cyprus Univ. of Technology (Cyprus)

Published in SPIE Proceedings Vol. 8177:
Remote Sensing of Clouds and the Atmosphere XVI
Evgueni I. Kassianov; Adolfo Comeron; Richard H. Picard; Klaus Schäfer, Editor(s)

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