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Deimos Imaging and UrtheCast provide satellite imagery and video for the IEEE GRSS Data Fusion Contest

This year IEEE GRSS Data Fusion Contest, Very High Temporal Resolution from Space, will use DEIMOS-2 Very High Resolution (VHR) multi-temporal data and HRC/Iris High-Definition Video from space. Both the VHR images acquired at two different dates and the video from an in-orbit camera cover an area over Vancouver (Canada). The data were acquired and provided especifically for the Data Fusion Contest by Deimos Imaging and UrtheCast respectively.

The Data Fusion Contest is organised each year since 2006 by the Data Fusion Technical Committee of the IEEE Geoscience and Remote Sensing Society (GRSS). It is a challenging opportunity, open not only for IEEE members, but for every researcher interested to solve remote sensing problems with data obtained from a variety of sensors.

This year the contest aims at promoting progress on fusion and analysis methodologies for multisource remote sensing data. For this reason, Deimos Imaging (Spain) and UrtheCast (Canada) are providing the data sources to be used in the analysis. The data cover an urban and harbour area in Vancouver, Canada. Interested participants can register online and obtain the data sources which include:

Very-High-Resolution images from DEIMOS-2 acquired at two different days, before and after orthorectification (provided by Deimos Imaging). Panchromatic data will be delivered at 1 m spatial resolution point spacing, while multispectral data at 4 m. It is the first time that Deimos Imaging data are contributing to the challenge.

High-Definition Video acquired from the Iris camera installed on the International Space Station (ISS), at 1 m spatial resolution (provided by UrtheCast). It is the first time that participants of the contest will have a HD video from space available for their analysis.

The participants are free to choose their topic, which includes (but is not restricted to): registration (image to image, video to image), change detection, multi-temporal analysis, object detection and tracking (buildings, cars, vessels), image classification (multisensor or multiresolution).

Submissions to the contest are scientific papers presenting the research work done on these data. The best ones will be included in the Technical Program of IGARSS 2016, presented in an oral Invited Session, and published in the IGARSS 2016 Proceedings.

More information about the contest and how to register and obtain the dataset can be found in the following website: http://www.grss-ieee.org/community/technical-committees/data-fusion/data-fusion-contest/


Fig.1: The Data Fusion Contest figure featuring the multi-temporal DEIMOS-2 images and the HD video.


Fig.2: The DEIMOS-2 imagery of Vancouver (Canada) used for the Data Fusion Contest. Left: image acquired on 31 March 2015, right: image acquired on 30 May 2015.

Deimos Imaging

Deimos Imaging, a subsidiary of UrtheCast Corp., is a private Spanish company headquartered in Tres Cantos (Madrid) and with satellite control and processing facilities in Boecillo (Valladolid) and Puertollano (Ciudad Real). The company, one of the world leading satellite imagery provider, owns and operates DEIMOS-1 and DEIMOS-2 satellites, with a 24/7 commercial service from its three facilities in Spain and through a network of ground stations in Canada, Sweden and Norway.
www.deimos-imaging.com

UrtheCast Corp.

UrtheCast Corp. is an international technology company headquartered in Vancouver, BC, Canada. Working with partners across the globe, UrtheCast has designed, built, launched, installed, and now operates two Earth Observation (EO) cameras onboard the International Space Station (ISS), including the world’s first UHD full-color video platform from space. Video and imagery data captured by these cameras — the Ultra-HD video camera Iris, and thee medium-resolution camera Theia — is downlinked to ground stations across the planet and distributed directly to partners and customers, or displayed on the UrtheCast web platform.
https://www.urthecast.com/