Title
Multi-Modal and Multi-Temporal Data Fusion: Outcome of the 2012 GRSS Data Fusion Contest
Abstract
The 2012 Data Fusion Contest organized by the Data Fusion Technical Committee (DFTC) of the IEEE Geoscience and Remote Sensing Society (GRSS) aimed at investigating the potential use of very high spatial resolution (VHR) multi-modal/multi-temporal image fusion. Three different types of data sets, including spaceborne multi-spectral, spaceborne synthetic aperture radar (SAR), and airborne light det...
Year
DOI
Venue
2013
10.1109/JSTARS.2013.2245860
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Keywords
Field
DocType
Laser radar,Buildings,Remote sensing,Data integration,Vegetation,Synthetic aperture radar,Optical imaging
Data integration,Computer vision,Radar imaging,Change detection,Image fusion,Synthetic aperture radar,Remote sensing,Sensor fusion,Lidar,Artificial intelligence,Radiosity (computer graphics),Mathematics
Journal
Volume
Issue
ISSN
6
3
1939-1404
Citations 
PageRank 
References 
2
0.43
0
Authors
17
Name
Order
Citations
PageRank
claire berger120.43
m voltersen241.14
r c eckardt391.05
julien eberle420.43
torsten heyer520.43
Nesrin Salepci620.76
Sören Hese7172.07
Christiane Schmullius89020.83
jie tao920.43
Stefan Auer101018.85
Richard Bamler11908106.33
kenneth r ewald1220.43
Michael Gartley13153.17
joseph m jacobson1420.43
a buswell1520.43
Qian Du162833185.90
Fabio Pacifici1744132.50