An automatic approach to lossy compression of AVIRIS images

被引：41

作者：

Ponomarenko, N. N. ^{[1
]}

Lukin, V. V. ^{[1
]}

Zriakhov, M. S. ^{[1
]}

Kaarna, A.

Astola, J. ^{[2
]}

机构：

[1] Natl Aerosp Univ, Dept Transmitters Receivers & Signal Proc, Kharkov, Ukraine

[2] Tampere Univ Technol, Tampere, Finland

来源：

IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET | 2007年

关键词：

lossy compression; subband groupping; blind evaluation of noise variance;

D O I：

10.1109/IGARSS.2007.4422833

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：472 / +

页数：2

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