@inproceedings{3656225bc64f4f6d848b150cb08e59cd,
title = "Optimal transport for data fusion in remote sensing",
abstract = "One of the main objective of data fusion is the integration of several acquisition of the same physical object, in order to build a new consistent representation that embeds all the information from the different modalities. In this paper, we propose the use of optimal transport theory as a powerful mean of establishing correspondences between the modalities. After reviewing important properties and computational aspects, we showcase its application to three remote sensing fusion problems: domain adaptation, time series averaging and change detection in LIDAR data.",
keywords = "LIDAR, Optimal transport, change detection, domain adaptation, time series analysis",
author = "Nicolas Courty and Remi Flamary and Devis Tuia and Thomas Corpetti",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 ; Conference date: 10-07-2016 Through 15-07-2016",
year = "2016",
month = nov,
day = "1",
doi = "10.1109/IGARSS.2016.7729925",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS) ",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3571--3574",
booktitle = "2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings",
}