Could Multimedia approaches help Remote Sensing Analysis?

Amina Ben Hamida (1) , Alexandre Benoit (2) , Patrick Lambert (2) , Chokri Ben-Amar (1)

1 REGIM-Lab - REsearch Group in Intelligent Machines [Sfax]
2 LISTIC - Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance

The paper explores how multimedia approaches used in image understanding tasks could be adapted and used in remote sensing image analysis. Two approaches are investigated: the classical Bag of Visual Words (BoVW) approach and the Deep Learning approach. Tests are performed for the classification of the UC Merced Land Use Dataset which provide better results than the state of the art.

Mots clés: Bag of visual words; Deep Learning; Remote sensing; classification

Domaines: Traitement du signal et de l'image [eess.SP]

Amina Ben Hamida, Alexandre Benoit, Patrick Lambert, Chokri Ben-Amar. Could Multimedia approaches help Remote Sensing Analysis?. IIM 2015 Conference Image Information Mining : Earth Observation meets Multimedia , CEOSpaceTech, Bucharest, Romania, Oct 2015, Bucharest, Romania. ⟨hal-01238247⟩