bibtype U - Conference, Workshop Arrangement
ARLID 0519134
utime 20240103223342.6
mtime 20200108235959.9
title (primary) (eng) Multi-source data analysis
keyword data fusion
keyword data analysis
author (primary)
ARLID cav_un_auth*0101238
name1 Zitová
name2 Barbara
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept (eng) Department of Image Processing
department (cz) ZOI
department (eng) ZOI
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101209
name1 Šroubek
name2 Filip
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0215563
name1 Kopeček
name2 Jaromír
institution FZU-D
full_dept (cz) Funkční materiály
full_dept Functional Materials
full_dept Functional Metal Materials and Thin Films
fullinstit Fyzikální ústav AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2019/ZOI/zitova-0519134.pdf
cas_special
project
ARLID cav_un_auth*0328930
project_id StrategieAV21/1
agency AV ČR
country CZ
abstract (eng) Analysis of data coming from different physical modalities is one of the key issues of recent image processing research. Proper fusion of the data provides better understanding and can even improve the visibility of concealed features. Such methods can be found in various application areas spanning from the medical imaging, material analysis, remote sensing to cultural heritage. This workshop will bring together researchers both on a national and international level to exchange ideas, encourage collaborations and present cutting-edge research. We welcome participants both from research institutions as well as from industry, hospitals, government and other application areas.
action
dates 20191125
place Praha
country CZ
url http://naridv.cas.cz/msda-workshop
mrcbC20-s 20191126
RIV JD
FORD0 10000
FORD1 10200
FORD2 10201
reportyear 2020
num_of_auth 3
mrcbC47 FZU-D 10000 10300 10302
mrcbC55 FZU-D BM
inst_support RVO:67985556
inst_support RVO:68378271
permalink http://hdl.handle.net/11104/0304171
confidential S
arlyear 2019