2013Journal of Fujian Normal UniversityRequires access

Atmospheric Correction and Evaluation for HSI Hyperspectral Image Based on FLAASH Model

Yuqi Liu

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Abstract

To deal with the HSI image of the western region of Minhou County in Fuzhou and to obtain the real land surface radiation information,it introduced the entire procedure for data preprocessing in details,including the stripe noise elimination and atmospheric correction based on MODTRAN radiation transfer model. On one hand,the spectral curves of three typical surface features before and after atmospheric correction were compared,on the other hand,it compared the spectral curves of vegetation reflectance before and after atmospheric correction with the standard reflectance in spectral libraries. The result indicated the validity of carrying out atmospheric correction of the HSI imagery data with FLAASH model.

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What this paper is about

To deal with the HSI image of the western region of Minhou County in Fuzhou and to obtain the real land surface radiation information,it introduced the entire procedure for data preprocessing in details,including the stripe noise elimination and atmospheric correction based on MODTRAN radiation transfer model. On one hand,the spectral curves of three typical surface features before and after atmospheric correction were compared,on the other hand,it compared the spectral curves of vegetation reflectance before and after atmospheric correction with the standard reflectance in spectral libraries. The result indicated the validity of carrying out atmospheric correction of the HSI imagery data with FLAASH model.

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Available abstract

To deal with the HSI image of the western region of Minhou County in Fuzhou and to obtain the real land surface radiation information,it introduced the entire procedure for data preprocessing in details,including the stripe noise elimination and atmospheric correction based on MODTRAN radiation transfer model. On one hand,the spectral curves of three typical surface features before and after atmospheric correction were compared,on the other hand,it compared the spectral curves of vegetation reflectance before and after atmospheric correction with the standard reflectance in spectral libraries. The result indicated the validity of carrying out atmospheric correction of the HSI imagery data with FLAASH model.

Key concepts: MODTRAN, Atmospheric correction, Hyperspectral imaging, Remote sensing, Atmospheric model, Environmental science, Preprocessor, Vegetation (pathology)

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