2009Journal of Optoelectronics·laserRequires access

Comparative study on atmospheric correction methods of FLAASH and 6S model based on Spot 5

Zong Wei

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Abstract

The atmospheric correction for remote sensing images is absolutely necessary for improving the precision of data pre-processing.The FLAASH and 6S are used as the atmospheric correction models.The SPOT5 remote sensing image is used as the original data to analyze the precision of atmospheric correction.In order to evaluate and validate the correction results,we use the object spectral response curves and NDVI profile curve to analyse the original images and the images after atmospheric correction.As a result,the reflectance of ground object by the method in the paper can eliminate the atmospheric scatter influence effectively and the edges of the surface objects are distinct and easy to identify.Furthermore,the FLAASH atmospheric correction model is better to SPOT5 remote sensing images than 6S model.

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What this paper is about

The atmospheric correction for remote sensing images is absolutely necessary for improving the precision of data pre-processing.The FLAASH and 6S are used as the atmospheric correction models.The SPOT5 remote sensing image is used as the original data to analyze the precision of atmospheric correction.In order to evaluate and validate the correction results,we use the object spectral response curves and NDVI profile curve to analyse the original images and the images after atmospheric correction.As a result,the reflectance of ground object by the method in the paper can eliminate the atmospheric scatter influence effectively and the edges of the surface objects are distinct and easy to identify.Furthermore,the FLAASH atmospheric correction model is better to SPOT5 remote sensing images than 6S model.

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Available abstract

The atmospheric correction for remote sensing images is absolutely necessary for improving the precision of data pre-processing.The FLAASH and 6S are used as the atmospheric correction models.The SPOT5 remote sensing image is used as the original data to analyze the precision of atmospheric correction.In order to evaluate and validate the correction results,we use the object spectral response curves and NDVI profile curve to analyse the original images and the images after atmospheric correction.As a result,the reflectance of ground object by the method in the paper can eliminate the atmospheric scatter influence effectively and the edges of the surface objects are distinct and easy to identify.Furthermore,the FLAASH atmospheric correction model is better to SPOT5 remote sensing images than 6S model.

Key concepts: Atmospheric correction, Remote sensing, Atmospheric model, Environmental science, Normalized Difference Vegetation Index, Reflectivity, Computer science, Meteorology

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