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Fletta eftir höfundi "Cavallaro, Gabriele"

Fletta eftir höfundi "Cavallaro, Gabriele"

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    Exploration of machine learning methods for the classification of infrared limb spectra of polar stratospheric clouds 
    Sedona, Rocco; Hoffmann, Lars; Spang, Reinhold; Cavallaro, Gabriele; Griessbach, Sabine; Höpfner, Michael; Book, Matthias; Riedel, Morris (Copernicus GmbH, 2020-07-08)
    Polar stratospheric clouds (PSCs) play a key role in polar ozone depletion in the stratosphere. Improved observations and continuous monitoring of PSCs can help to validate and improve chemistry–climate models that are used to predict the evolution of ...
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    On Understanding Big Data Impacts in Remotely Sensed Image Classification Using Support Vector Machine Methods 
    Benediktsson, Jon Atli; Cavallaro, Gabriele; Riedel, Morris; Richerzhagen, Matthias; Plaza, Antonio (IEEE, 2015)
    Owing to the recent development of sensor resolutions onboard different Earth observation platforms, remote sensing is an important source of information for mapping and monitoring natural and man-made land covers. Of particular importance is the ...
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    Parallel Computation of Component Trees on Distributed Memory Machines 
    Gotz, Markus; Cavallaro, Gabriele; Geraud, Thierry; Book, Matthias; Riedel, Morris (Institute of Electrical and Electronics Engineers (IEEE), 2018-11-01)
    Component trees are region-based representations that encode the inclusion relationship of the threshold sets of an image. These representations are one of the most promising strategies for the analysis and the interpretation of spatial information ...
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    Remote Sensing Image Classification Using Attribute Filters Defined over the Tree of Shapes 
    Benediktsson, Jon Atli; Cavallaro, Gabriele; Dalla Mura, Mauro; Plaza, Antonio (IEEE Geoscience & Remote Sensing Society, 2016)
    Remotely sensed images with very high spatial resolution provide a detailed representation of the surveyed scene with a geometrical resolution that, at the present, can be up to 30 cm (WorldView-3). A set of powerful image processing operators have ...