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2016 IEEE GRSS data fusion contest: very high temporal resolution from space technical committees


Tuia, Devis; Moser, Gabriele; Le Saux, Bertrand (2016). 2016 IEEE GRSS data fusion contest: very high temporal resolution from space technical committees. IEEE Geoscience and Remote Sensing Magazine, 4(1):46-48.

Abstract

The 2016 Data Fusion Contest, organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (GRSS), aims at providing a challenging image analysis opportunity including multitemporal, multiresolution, and multisensor fusion. The 2016 contest involves two data modalities acquired over the city of Vancouver, Canada (49?15?N 123?6?W): a very high-resolution multitemporal sequence and an ultrahigh definition (UHD) video from space acquired from the International Space Station (ISS). The data were acquired and provided by Deimos Imaging and UrtheCast (Figure 1).

Abstract

The 2016 Data Fusion Contest, organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (GRSS), aims at providing a challenging image analysis opportunity including multitemporal, multiresolution, and multisensor fusion. The 2016 contest involves two data modalities acquired over the city of Vancouver, Canada (49?15?N 123?6?W): a very high-resolution multitemporal sequence and an ultrahigh definition (UHD) video from space acquired from the International Space Station (ISS). The data were acquired and provided by Deimos Imaging and UrtheCast (Figure 1).

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Additional indexing

Item Type:Journal Article, not refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Date:2016
Deposited On:10 Oct 2016 06:54
Last Modified:08 Dec 2017 20:29
Publisher:Institute of Electrical and Electronics Engineers
ISSN:2168-6831
Publisher DOI:https://doi.org/10.1109/mgrs.2016.2515107

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