 |
Conference papers
Satellite image retrieval with pattern spectra descriptors
Abstract : 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.
Cited literature [25 references]
https://hal.archives-ouvertes.fr/hal-01253815
Contributor : Sébastien Lefèvre <>
Submitted on : Wednesday, November 13, 2019 - 6:40:00 PM
Last modification on : Thursday, April 2, 2020 - 1:54:48 AM
Contributor : Sébastien Lefèvre <>
Submitted on : Wednesday, November 13, 2019 - 6:40:00 PM
Last modification on : Thursday, April 2, 2020 - 1:54:48 AM
File
iim2015.pdf
Files produced by the author(s)
