An automatic approach to lossy compression of AVIRIS images

Author

Ponomarenko, N.N. ; Lukin, V.V. ; Zriakhov, M.S. ; Kaarna, A. ; Astola, J.

Author_Institution

Nat. Aerosp. Univ., Kharkov

fYear

2007

fDate

23-28 July 2007

Firstpage

472

Lastpage

475

Abstract

Lossy compression of AVIRIS hyperspectral images is considered. An automatic approach to selection of compression parameters depending on noise characteristics in component images is proposed. Several ways of performing lossy compression are discussed and compared. It is shown that in order to minimize distortions and provide a sufficient compression ratio it is reasonable to group the channels according to the evaluated noise variances in subband images and depending upon the sensor that produces sets of subband images. It is shown that for real life images the attained compression ratios can be of the order 8. ..25.

Keywords

data compression; geophysical signal processing; image coding; remote sensing; AVIRIS hyperspectral images; lossy compression; noise characteristics; noise variances; subband images; Additive noise; Chromium; Discrete wavelet transforms; Hyperspectral imaging; Hyperspectral sensors; Image coding; Remote sensing; Signal processing; Signal to noise ratio; Transmitters; blind evaluation of noise variance; lossy compression; subband groupping;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International

Conference_Location

Barcelona

Print_ISBN

978-1-4244-1211-2

Electronic_ISBN

978-1-4244-1212-9

Type

conf

DOI

10.1109/IGARSS.2007.4422833

Filename

4422833