Preliminary Automatic Analysis of Characteristics of Hypespectral Aviris Images

Author

Ponomarenko, Nikolay ; Lukin, Vladimir ; Zriakhov, Mikhail ; Kaarna, Arto

Author_Institution

Dept of Transmitters, Receivers & Signal Process., Nat. Aerosp. Univ., Kharkov

fYear

0

fDate

0-0 0

Firstpage

158

Lastpage

160

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

Keywords

data compression; image denoising; image sensors; remote sensing; AVIRIS imager; AVIRIS system; airborne visible/infrared imaging spectrometer; hyperspectral data compression; hyperspectral images; image denoising; noise variance estimation; signal-to-noise ratio; Data compression; Hyperspectral imaging; Image analysis; Noise reduction; Noise robustness; PSNR; Performance analysis; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Mathematical Methods in Electromagnetic Theory, 2006 International Conference on

Conference_Location

Kharkiv

Print_ISBN

1-4244-0490-8

Type

conf

DOI

10.1109/MMET.2006.1689730

Filename

1689730