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5 February 2004 Lossy coding techniques for high-resolution images
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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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Joan Serra-Sagrista, Cristina Fernandez-Cordoba, Francesc Auli-Llinas, Fernando Garcia-Vilchez, and Julia Minguillon "Lossy coding techniques for high-resolution images", Proc. SPIE 5238, Image and Signal Processing for Remote Sensing IX, (5 February 2004);

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