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Processing of Multiresolution Thermal Hyperspectral and Digital Color Data: Outcome of the 2014 IEEE GRSS Data Fusion Contest.

Authors :
Liao, Wenzhi
Huang, Xin
Van Coillie, Frieke
Gautama, Sidharta
Pizurica, Aleksandra
Philips, Wilfried
Liu, Hui
Zhu, Tingting
Shimoni, Michal
Moser, Gabriele
Tuia, Devis
Source :
IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing; Jun2015, Vol. 8 Issue 6, p2984-2996, 13p
Publication Year :
2015

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. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
19391404
Volume :
8
Issue :
6
Database :
Complementary Index
Journal :
IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing
Publication Type :
Academic Journal
Accession number :
108820190
Full Text :
https://doi.org/10.1109/JSTARS.2015.2420582