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Conference Papers Year : 2015

Satellite image retrieval with pattern spectra descriptors


The increasing volume of Earth Observation data calls for appropriate solutions in satellite image retrieval. We address this problem by considering morphological descrip-tors called pattern spectra. Such descriptors are histogram-like structures that contain the information on the distribution of predefined properties (attributes) of image components. They can be computed both at the local and global scale, and are computationally attractive. We demonstrate how they can be embedded in an image retrieval framework and report their promising performances when dealing with a standard satellite image dataset.
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hal-01253815 , version 1 (13-11-2019)


  • HAL Id : hal-01253815 , version 1


Petra Bosilj, Erchan Aptoula, Sébastien Lefèvre, Ewa Kijak. Satellite image retrieval with pattern spectra descriptors. International Conference on Image Information Mining: Geospatial Intelligence from Earth Observation (IIM), 2015, Bucarest, Romania. ⟨hal-01253815⟩
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