Fast atmospheric correction algorithm based on the darkest pixel approach for retrieving the aerosol optical thickness: comparison with in-situ AOT measurements

Kyriacos Themistocleous; Diofantos G. Hadjimitsis; Dimitrios Alexakis

doi:10.1117/12.898593

26 October 2011 Fast atmospheric correction algorithm based on the darkest pixel approach for retrieving the aerosol optical thickness: comparison with in-situ AOT measurements

Kyriacos Themistocleous, Diofantos G. Hadjimitsis, Dimitrios Alexakis

Author Affiliations +

Proceedings Volume 8177, Remote Sensing of Clouds and the Atmosphere XVI; 81770B (2011) https://doi.org/10.1117/12.898593
Event: SPIE Remote Sensing, 2011, Prague, Czech Republic

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).

Citation Download Citation

Kyriacos Themistocleous, Diofantos G. Hadjimitsis, and Dimitrios Alexakis "Fast atmospheric correction algorithm based on the darkest pixel approach for retrieving the aerosol optical thickness: comparison with in-situ AOT measurements", Proc. SPIE 8177, Remote Sensing of Clouds and the Atmosphere XVI, 81770B (26 October 2011); https://doi.org/10.1117/12.898593

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