Effects Of Resolution Enhancement And Atmospheric Correction Pre-Processing In Classification Of Hyperspectral Imagery

This paper presents a comparison between classification results when hyperspectral imagery is pre-processed by spectral resolution enhancement algorithms and/or atmospheric correction algorithms. Different combinations of pre-processing options were investigated. Overall, resolution enhancement does improve classification accuracy with and without atmospheric correction. Furthermore, classification accuracy using radiance data enhanced by resolution enhancement techniques was higher than accuracies obtained by atmospherically corrected data even when it was enhanced. AVIRIS data from the Indian Pines test site in NW Indiana was used to illustrate the different concepts.