DocumentCode :
2487978
Title :
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
Link To Document :
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