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  4. Multi-modal change detection, application to the detection of flooded areas: outcome of the 2009-2010 data fusion contest
 
research article

Multi-modal change detection, application to the detection of flooded areas: outcome of the 2009-2010 data fusion contest

Longbotham, N.
•
Pacifici, F.
•
Glenn, T.
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2012
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

The 2009-2010 Data Fusion Contest organized by the Data Fusion Technical Committee of the IEEE Geoscience and Remote Sensing Society was focused on the detection of flooded areas using multi-temporal and multi-modal images. Both high spatial resolution optical and synthetic aperture radar data were provided. The goal was not only to identify the best algorithms (in terms of accuracy), but also to investigate the further improvement derived from decision fusion.

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Type
research article
DOI
10.1109/JSTARS.2011.2179638
Web of Science ID

WOS:000300844400032

Author(s)
Longbotham, N.
Pacifici, F.
Glenn, T.
Zare, A.
Volpi, M.
Tuia, D.  
Christophe, E.
Michel, J.
Inglada, J.
Chanussot, J.
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Date Issued

2012

Published in
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Volume

5

Issue

1

Start page

331

End page

342

Subjects

Change detection

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data fusion

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decision fusion

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flood detection

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high spatial resolution

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optical

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synthetic aperture radar

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Unsupervised Change Detection

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Remote-Sensing Data

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Artificial Neural-Networks

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Support Vector Machines

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Multispectral Images

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Multitemporal Images

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Satellite Imagery

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Sensed Data

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Sar Images

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Classification

Editorial or Peer reviewed

NON-REVIEWED

Written at

EPFL

EPFL units
LASIG  
Available on Infoscience
January 24, 2012
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/77092
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