Abstract
With the aim of obtaining a valid compression method for remote sensing and geographic information systems, and because comparisons among the different available techniques are not always performed in a sufficiently fair manner, we are currently developing a framework for evaluating several still image coding techniques.
In addition to properly choose the best suitable technique according to compression factor and quality of recovery, it is expected that this setting will let us introduce the particular functionalities requested by this kind ofapplications.
This work has been supported in part by the Spanish Government and FEDER through MCYT Grant TIC2003-08604-C04-01, and by the Catalan Government DURSI Grant 2001SGR 00219.
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Serra-Sagrista, J., Auli, F., Garcia, F., Gonzalez, J., Guitart, P. (2004). Review of Coding Techniques Applied to Remote Sensing. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30132-5_89
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DOI: https://doi.org/10.1007/978-3-540-30132-5_89
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