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Browsing by Subject "Remote sensing"

Browsing by Subject "Remote sensing"

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  • Ghamisi, Pedram; Souza, Roberto; Benediktsson, Jon Atli; Zhu, Xiao Xiang; Rittner, Leticia (IEEE, 2016-07-18)
    Email Print Request Permissions With respect to recent advances in remote sensing technologies, the spatial resolution of airborne and spaceborne sensors is getting finer, which enables us to precisely analyze even small objects on the Earth. This ...
  • Belart, Joaquín M. C.; Magnússon, Eyjólfur; Berthier, Etienne; Pálsson, Finnur; Adalgeirsdottir, Gudfinna; Jóhannesson, Tómas (Cambridge University Press (CUP), 2019-04-11)
    Mass-balance measurements of Icelandic glaciers are sparse through the 20th century. However, the large archive of stereo images available allows estimates of glacier-wide mass balance in decadal time steps since 1945. Combined with climate records, ...
  • Belart, Joaquín M. C. (University of Iceland, School of Engineering and Natural Sciences, Faculty of Earth Sciences, 2018-11-29)
    The mass balance of a glacier is strongly connected to climate. At high latitudes, mass balance is typically controlled by snow accumulation during the winter and the glacier ablation during the summer. In Iceland, direct mass balance observations ...
  • Benediktsson, Jon Atli; Ghamisi, Pedram; Martins, Fernando M. L.; Couceiro, Micael S. (IEEE, 2014)
    Hyperspectral remote sensing images contain hundreds of data channels. Due to the high dimensionality of the hyperspectral data, it is difficult to design accurate and efficient image segmentation algorithms for such imagery. In this paper, a new ...
  • Rasti, Behnood; Scheunders, Paul; Ghamisi, Pedram; Licciardi, Giorgio; Chanussot, Jocelyn (MDPI AG, 2018-03-20)
    Hyperspectral remote sensing is based on measuring the scattered and reflected electromagnetic signals from the Earth’s surface emitted by the Sun. The received radiance at the sensor is usually degraded by atmospheric effects and instrumental (sensor) ...
  • 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 ...
  • 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 ...
  • Helmert, Jürgen; Şensoy Şorman, Aynur; Alvarado Montero, Rodolfo; De Michele, Carlo; de Rosnay, Patricia; Dumont, Marie; Finger, David; Lange, Martin; Picard, Ghislain; Potopová, Vera; Pullen, Samantha; Vikhamar-Schuler, Dagrun; Arslan, Ali (MDPI AG, 2018-12-14)
    The European Cooperation in Science and Technology (COST) Action ES1404 HarmoSnow, entitled, A European network for a harmonized monitoring of snow for the benefit of climate change scenarios, hydrology and numerical weather prediction (2014-2018) aims ...