A generalization of "image lossy data compression" recommendation

Author

Serra-Sagrista, Joan ; Garcia, Fernando ; Auli, Francesc ; Gonzalez, Jorge

Author_Institution

Dept. of Comput. Sci., Univ. Autonoma de Barcelona

Volume

1

fYear

2004

fDate

20-24 Sept. 2004

Lastpage

304

Abstract

This paper deals with the encoding of high resolution images for remote sensing and geographic information systems applications. We are currently investigating the suitability of several still image coding techniques for this kind of applications. We present results for an adapted and modified version of the CCSDS-ILDC technique. In addition to evaluate its compression factor and quality of recovery with respect to the latest still image coding standard JPEG2000, we also consider whether this technique may fulfill the particular functionalities requested by remote sensing users

Keywords

data compression; geographic information systems; image coding; image resolution; remote sensing; CCSDS-ILDC technique; Consultative Committee for Space Data System Standards; Joint Photographic Expert Group; compression factor; geographic information systems application; image lossy data compression; image resolution encoding; remote sensing; standard JPEG2000; still image coding technique; Application software; Data compression; Discrete wavelet transforms; Geographic Information Systems; Hyperspectral imaging; Hyperspectral sensors; Image coding; Image storage; Remote sensing; Transform coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International

Conference_Location

Anchorage, AK

Print_ISBN

0-7803-8742-2

Type

conf

DOI

10.1109/IGARSS.2004.1369021

Filename

1369021