A Comparison of Hyper spectral and Multispectral Datasets for Crop Type Mapping

Abstract Atmospheric correction is the one of the major part of a satellite image processing, FLAASH (Fast-Line-of-Sight Atmospheric Analysis of the Spectral Hyper cubes) is efficient method for atmospheric correction of Hyper spectral data. Same spatial resolution, same methodology, different classification results due to different spectral resolution. Mixing of classes is rare in Hyper spectral data as compared to Multi spectral data.