Report on the 2015 IEEE GRSS Data Fusion Contest-Extremely High Resolution LiDAR and Optical Data: A Data Fusion Challenge [Technical Committees]

Gabriele Moser; Devis Tuia; Michal Shimoni

doi:10.1109/MGRS.2015.2468071

Report on the 2015 IEEE GRSS Data Fusion Contest-Extremely High Resolution LiDAR and Optical Data: A Data Fusion Challenge [Technical Committees]

Gabriele Moser
, Devis Tuia
, Michal Shimoni

University of Genoa
University of Zurich

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Original language	English
Article number	7284780
Pages (from-to)	118-121
Number of pages	4
Journal	IEEE Geoscience and Remote Sensing Magazine
Volume	3
Issue number	3
DOIs	https://doi.org/10.1109/MGRS.2015.2468071
Publication status	Published - 1 Sept 2015

Access to Document

10.1109/MGRS.2015.2468071

Cite this

@article{36b71a677ec743078dffc4bcda9816c9,

title = "Report on the 2015 IEEE GRSS Data Fusion Contest-Extremely High Resolution LiDAR and Optical Data: A Data Fusion Challenge [Technical Committees]",

author = "Gabriele Moser and Devis Tuia and Michal Shimoni",

year = "2015",

month = sep,

day = "1",

doi = "10.1109/MGRS.2015.2468071",

language = "English",

volume = "3",

pages = "118--121",

journal = "IEEE Geoscience and Remote Sensing Magazine",

issn = "2473-2397",

number = "3",

}

TY - JOUR

T1 - Report on the 2015 IEEE GRSS Data Fusion Contest-Extremely High Resolution LiDAR and Optical Data

T2 - A Data Fusion Challenge [Technical Committees]

AU - Moser, Gabriele

AU - Tuia, Devis

AU - Shimoni, Michal

PY - 2015/9/1

Y1 - 2015/9/1

UR - https://www.scopus.com/pages/publications/84943748263

U2 - 10.1109/MGRS.2015.2468071

DO - 10.1109/MGRS.2015.2468071

M3 - Article

AN - SCOPUS:84943748263

SN - 2473-2397

VL - 3

SP - 118

EP - 121

JO - IEEE Geoscience and Remote Sensing Magazine

JF - IEEE Geoscience and Remote Sensing Magazine

IS - 3

M1 - 7284780

ER -

Report on the 2015 IEEE GRSS Data Fusion Contest-Extremely High Resolution LiDAR and Optical Data: A Data Fusion Challenge [Technical Committees]

Access to Document

Other files and links

Cite this