Paper Info
Title
Processing of Multiresolution Thermal Hyperspectral and Digital Color Data: Outcome of the 2014 IEEE GRSS Data Fusion Contest
Abstract
This paper reports the outcomes of the 2014 Data Fusion Contest organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (IEEE GRSS). As for previous years, the IADF TC organized a data fusion contest aiming at fostering new ideas and solutions for multisource remote sensing studies. In the 2014 edition, participants considered multiresolution and multisensor fusion between optical data acquired at 20-cm resolution and long-wave (thermal) infrared hyperspectral data at 1-m resolution. The Contest was proposed as a double-track competition: one aiming at accurate landcover classification and the other seeking innovation in the fusion of thermal hyperspectral and color data. In this paper, the results obtained by the winners of both tracks are presented and discussed.
Year
DOI
Venue
2015
10.1109/JSTARS.2015.2420582
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Keywords
Field
DocType
hyperspectral,image analysis and data fusion (iadf),landcover classification,multimodal-,multiresolution-,multisource-data fusion,thermal imaging,hyperspectral imaging,image fusion,image resolution,image analysis,feature extraction,remote sensing,multimodal,data integration
Data integration,Data mining,Technical committee,Domain adaptation,Remote sensing,Artificial intelligence,Computer vision,CONTEST,Feature extraction,Hyperspectral imaging,Sensor fusion,Image resolution,Mathematics
Journal
Volume
Issue
ISSN
PP
99
1939-1404
Citations 
PageRank 
References 
30
1.04
33
Authors
11
Name
Order
Citations
PageRank
Wenzhi Liao140331.63
Xin Huang2130174.47
Frieke Van Coillie3686.92
Sidharta Gautama416921.85
Aleksandra Pizurica51238102.29
wilfried philips6301.04
Hui Liu7553.22
tingting zhu8301.04
Michal Shimoni95611.17
Gabriele Moser1091976.92
Devis Tuia111715101.88