DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn

no code implementations • 20 Sep 2018 • Roberto Interdonato, Dino Ienco, Raffaele Gaetano, Kenji Ose

In this work, we propose the first deep learning architecture for the analysis of SITS data, namely \method{} (DUal view Point deep Learning architecture for time series classificatiOn), that combines Convolutional and Recurrent neural networks to exploit their complementarity.

Earth Observation General Classification +4

MRFusion: A Deep Learning architecture to fuse PAN and MS imagery for land cover mapping

no code implementations • 29 Jun 2018 • Raffaele Gaetano, Dino Ienco, Kenji Ose, Remi Cresson

Common techniques to produce land cover maps from such VHSR images typically opt for a prior pansharpening of the multi-resolution source for a full resolution processing.

Earth Observation Pansharpening