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Proceedings Paper

Lossy coding techniques for high-resolution images
Author(s): Joan Serra-Sagrista; Cristina Fernandez-Cordoba; Francesc Auli-Llinas; Fernando Garcia-Vilchez; Julia Minguillon
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Paper Abstract

High resolution images are nowadays a common source of data for many different applications; let us consider, for instance, hyperspectral images for remote sensing and geographic information systems. This kind of images allows for exhaustive analysis and provides good classification performance due to their high resolution (either bits per pixel, spatial, or spectral resolution). Nevertheless, this same high resolution, as well as their huge size, imposes a large demand of memory capability and channel bandwidth. To deal with this problem, lossy encoding of such images may be devised. Well known lossless and lossy image coding techniques have been used, but remote sensing and geographic information systems applications have some particular requirements that are not taken into account by the classical methods. There is therefore a need to investigate new approaches of image coding for these applications.

Paper Details

Date Published: 5 February 2004
PDF: 12 pages
Proc. SPIE 5238, Image and Signal Processing for Remote Sensing IX, (5 February 2004); doi: 10.1117/12.510491
Show Author Affiliations
Joan Serra-Sagrista, Univ. Autonoma de Barcelona (Spain)
Cristina Fernandez-Cordoba, Univ. Autonoma de Barcelona (Spain)
Francesc Auli-Llinas, Univ. Autonoma de Barcelona (Spain)
Fernando Garcia-Vilchez, Univ. Autonoma de Barcelona (Spain)
Julia Minguillon, Univ. Oberta de Catalunya (Spain)


Published in SPIE Proceedings Vol. 5238:
Image and Signal Processing for Remote Sensing IX
Lorenzo Bruzzone, Editor(s)

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