Alaitz Zabala

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This study measures the effect of lossy image compression on the digital classification of crops and forest areas. A hybrid classification method using satellite images and other variables has been used. The results contribute interesting new data on the influence of compression on the quality of the produced cartography, both from a “by pixel” perspective(More)
The Global Earth Observation System of Systems (GEOSS) Clearinghouse is part of the GEOSS Common Infrastructure (GCI) that supports the discovery of the data made available by the Group on Earth Observations (GEO) members and participant organizations in GEOSS. It also acts as a unified metadata catalogue that stores complete metadata records, not only(More)
Classification of hyperspectral images is paramount to an increasing number of user applications. With the advent of more powerful technology, sensed images demand for larger requirements in computational and memory capabilities, which has led to devise compression techniques to alleviate the transmission and storage necessities. Classification of(More)
The efficient transmission of large resolution images is a key aspect in many applications to minimize the transmission costs and to enhance the browsing experience. Among the currently available standards for the coding and transmission of imagery, JPEG2000 excels for its superior coding performance and advanced capabilities. The JPEG2000 Interactive(More)
This study measures the effect of lossy image compression on the digital classification of forest areas. A mixed classification method comprising satellite images and topoclimatic variables for mapping vegetation land cover was used. The results contribute interesting new data about the influence of compression on the quality of the cartography produced,(More)
Lossy compression has been increasingly used because of the enormous amount of images gathered by airborne and satellite sensors. Nevertheless, the implications of these compression procedures have been scarcely assessed. Moreover, segmentation previous to digital image classification is also an increasingly used technique. This paper presents an(More)