Preliminary Automatic Analysis of Characteristics of Hypespectral Aviris Images

Abstract

The need to perform analysis and processing hyperspectral images registered by AVIRIS imager is stated. AVIRIS system basic characteristics are briefly discussed. Then, novel approaches and robust methods for estimation of noise variance and signal-to-noise ratios in band images are proposed. Using them, real life sets of AVIRIS images are analyzed. The basic dependences and conclusions following from the carried out study are presented and considered. Some examples showing that some band images are worth denoising are presented. The methods well suited for this purpose are recommended. Possible approaches to hyperspectral data compression are also discussed