Evaluation of Atmospherically Gases Using Models FLAASH and QUAC to Hyper-spectral imagery

Abstract

The important step is correction of the effect of atmospheric on hyper-spectral imagery of the VIS "visible", short wave & NIR "near-infrared" spectral range. In general, the cause for limiting the use of hyperspectral images is the atmospheric effects, so, atmospheric correction is necessary for any accurate processing. In this work, two atmospheric correction techniques have been applied on Hyperspectral image. From the raw original image and also from the FLAASH and QUAC atmospheric corrected images the spectra of vegetation, water and soil were extracted. The acquisition data for study contained Hyperion bands for year "2015" images over each of the following regions: first region is the sedimentary plain in the central region of Republic of Iraq and the second region is a mountainous area of the northern regions of the Republic of Iraq. The survey will focus mainly on the precision of the atmospheric compensation algorithms by comparing the corrected bands location in the reflectance measurement of different surface types collected for each region. The results of two algorithms in the mountainous area that have terrain are best than the sedimentary plain area.