2012•Unpublished venueRequires access

Blind atmospheric correction of hyperspectral images gathered by high spectral resolution sensors

Alessandro Barducci, Donatella Guzzi, Cinzia Lastri, Paolo Marcoionni, Vanni Nardino, Ivan Pippi

Open publisher page 2 citations

Abstract

In this paper we discuss the structure and the performance of a blind (autonomous) atmospheric correction procedure that can be adopted for compensating the radiative effects originated by the transfer of radiation throughout the atmosphere. The algorithm is tested with simulated hyperspectral images for the sensors HyperSymga and Prisma.

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What this paper is about

In this paper we discuss the structure and the performance of a blind (autonomous) atmospheric correction procedure that can be adopted for compensating the radiative effects originated by the transfer of radiation throughout the atmosphere. The algorithm is tested with simulated hyperspectral images for the sensors HyperSymga and Prisma.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this paper we discuss the structure and the performance of a blind (autonomous) atmospheric correction procedure that can be adopted for compensating the radiative effects originated by the transfer of radiation throughout the atmosphere. The algorithm is tested with simulated hyperspectral images for the sensors HyperSymga and Prisma.

Key concepts: Hyperspectral imaging, Remote sensing, Atmospheric correction, Atmospheric model, Atmosphere (unit), Radiative transfer, Computer science, Spectral resolution

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