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Sensors 2008, 8(11), 6999-7011; doi:10.3390/s8116999
Article

Classification Metrics for Improved Atmospheric Correction of Multispectral VNIR Imagery

Received: 18 August 2008; in revised form: 29 September 2008 / Accepted: 30 October 2008 / Published: 5 November 2008
(This article belongs to the Special Issue Remote Sensing of Land Surface Properties, Patterns and Processes)
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Abstract: Multispectral visible/near-infrared (VNIR) earth observation satellites, e.g., Ikonos, Quickbird, ALOS AVNIR-2, and DMC, usually acquire imagery in a few (3 – 5) spectral bands. Atmospheric correction is a challenging task for these images because the standard methods require at least one shortwave infrared band (around 1.6 or 2.2 µm) or hyperspectral instruments to derive the aerosol optical thickness. New classification metrics for defining cloud, cloud over water, haze, water, and saturation are presented to achieve improvements for an automatic processing system. The background is an ESA contract for the development of a prototype atmospheric processor for the optical payload AVNIR-2 on the ALOS platform.
Keywords: Aerosol retrieval; surface reflectance; haze; cloud; water Aerosol retrieval; surface reflectance; haze; cloud; water
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Richter, R. Classification Metrics for Improved Atmospheric Correction of Multispectral VNIR Imagery. Sensors 2008, 8, 6999-7011.

AMA Style

Richter R. Classification Metrics for Improved Atmospheric Correction of Multispectral VNIR Imagery. Sensors. 2008; 8(11):6999-7011.

Chicago/Turabian Style

Richter, Rudolf. 2008. "Classification Metrics for Improved Atmospheric Correction of Multispectral VNIR Imagery." Sensors 8, no. 11: 6999-7011.


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