2010Computing Techniques for Geophysical and Geochemical ExplorationRequires access

ATMOSPHERIC CORRECTION OF HYPERSPECTRAL REMOTE SENSING IMAGE BASED ON FLAASH

Chengming Ye

Open publisher page 2 citations

Abstract

The electromagnetic wave received by the sensor have the atmospheric absorption and scattering effect on image.Hyperspectral remote sensing images contain high resolution spectral informations.In order to extract hyperspectral remote sensing information more accurately,the atmospheric correction is essential.In the application of data from Hyperion with a lower SNR,it is important to correct the atmospheric effect on surface reflectance computation.This paper uses FLAASH to make the Atmospheric Correction of Hyperion images,analyzed the different spectral features before or after correction,compared with the standard database and get a desirable result of the case study.

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What this paper is about

The electromagnetic wave received by the sensor have the atmospheric absorption and scattering effect on image.Hyperspectral remote sensing images contain high resolution spectral informations.In order to extract hyperspectral remote sensing information more accurately,the atmospheric correction is essential.In the application of data from Hyperion with a lower SNR,it is important to correct the atmospheric effect on surface reflectance computation.This paper uses FLAASH to make the Atmospheric Correction of Hyperion images,analyzed the different spectral features before or after correction,compared with the standard database and get a desirable result of the case study.

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Available abstract

The electromagnetic wave received by the sensor have the atmospheric absorption and scattering effect on image.Hyperspectral remote sensing images contain high resolution spectral informations.In order to extract hyperspectral remote sensing information more accurately,the atmospheric correction is essential.In the application of data from Hyperion with a lower SNR,it is important to correct the atmospheric effect on surface reflectance computation.This paper uses FLAASH to make the Atmospheric Correction of Hyperion images,analyzed the different spectral features before or after correction,compared with the standard database and get a desirable result of the case study.

Key concepts: Hyperspectral imaging, Remote sensing, Atmospheric correction, Environmental science, Full spectral imaging, Computation, Computer science, Spectral resolution

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