Improved JPEG coding for remote sensing

Author

Hou, P. ; Hojjatoleslami, A. ; Petrou, M. ; Underwood, C. ; Kittler, J.

Author_Institution

Sch. of Electron. Eng., Inf. Technol. & Math., Surrey Univ., Guildford, UK

Volume

2

fYear

1998

fDate

16-20 Aug 1998

Firstpage

1637

Abstract

In this paper we propose two improvements to standard JPEG coding that can improve the compression ratio achieved for compressing remote sensing images obtained by sensors on-board microsatellites by more than 39-60%. The first improvement consists in using a quantisation table that has been shown experimentally to be more appropriate for remote sensing images. The second and more significant improvement comes from the use of a novel region growing algorithm that can identify the outer border of a cloud region. The blocks that correspond to cloud regions are subsequently smoothed, as they represent unwanted information for the applications we are interested in, and encoded. The results are demonstrated with the help of several real images obtained by the Surrey University satellites

Keywords

data compression; geography; geophysics computing; image coding; quantisation (signal); remote sensing; smoothing methods; cloud region outer border identification; compression ratio; improved JPEG coding; microsatellite sensors; quantisation table; remote sensing images; satellites; smoothing; Clouds; Earth; Image coding; Image sensors; Information technology; Mathematics; Quantization; Remote sensing; Sea surface; Transform coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on

Conference_Location

Brisbane, Qld.

ISSN

1051-4651

Print_ISBN

0-8186-8512-3

Type

conf

DOI

10.1109/ICPR.1998.712031

Filename

712031