The increasing availability of a great number of remote sensing (RS) images (multi and hyperspectral), othophotos, etc. And their use in Geographical Information Systems (GIS), is leading to perform research of compressing techniques in order to achieve, appropriately compressed formats of these images to be used in RS (classification, photo interpretation, etc.) and GIS (spatial analysis, etc.) beyond their simple visualization. Similiarly, there is a growing consensus concerning the use of watermarking techniques to ensure the integrity and the origin of source images. The present project is aimed at exploring several techniques of image compression and marking, performing them in a GIS environment by means of compression formats (lossy and lossless) with the following attributes: 1) high speed of data recovering in any image area and zoom; 2) optional respect to given image regions where no information loose should be produced; 3) in the case of loosy compression, loose quantification when the image contains physical parameters as temperature, radiance, elevation, etc.; 4) respect of nodata regions, which should be maintained at any compression level; 5) availability of compression of monoband and multiband (either multi or hiperspectral) images; 6) to reach high compression ratios while maintaining image quality; 7) invisible watermarking able to resist image compression.
|Effective start/end date||1/12/03 → 30/11/06|
- Universitat Oberta de Catalunya
- Centre for Ecological Research and Forestry Applications (CREAF)
- Universitat Autònoma de Barcelona (UAB)
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