Počet záznamů: 1
Optimising the workflow for fish detection in DIDSON (Dual-frequency IDentification SONar) data with the use of optical flow and a genetic algorithm.
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$a eng 102 $a CH 200 1-
$a Optimising the workflow for fish detection in DIDSON (Dual-frequency IDentification SONar) data with the use of optical flow and a genetic algorithm. 215 $a 18 s. 463 -1
$1 001 cav_un_epca*0393790 $1 011 $e 2073-4441 $1 200 1 $a Water $v Roč. 13, č. 9 (2021) $1 205 $a ONLINE $1 210 $c MDPI 608 $a Article 610 $a acoustic imaging 610 $a computer vision 610 $a hydroacoustics 610 $a fisheries research 610 $a image segmentation 610 $a image classification 610 $a foreground extraction 700 -1
$3 cav_un_auth*0383967 $a Perivolioti $b T. M. $y GR $q Aristotle Univ Thessaloniki, Sch Biol, Dept Zool, Thessaloniki 54124, Greece, 701 -1
$3 cav_un_auth*1219753 $a Tušer $b Michal $p BC-A $i HBU - Ekologie ryb a zooplanktonu $j Fish and Zooplankton Ecology $y CZ $T Biologické centrum AV ČR, v. v. i. 701 -1
$3 cav_un_auth*0383969 $a Terzopoulos $b D. $y GR $q Aristotle Univ Thessaloniki, Dept Phys & Environm Geog, Thessaloniki 54124, Greece, 701 -1
$3 cav_un_auth*0293756 $a Sgardelis $b S.P. $y GR $q Aristotle Univ Thessaloniki, Sch Biol, Dept Ecol, Thessaloniki 54124, Greece, 701 -1
$3 cav_un_auth*0424717 $a Antoniou $b I. $y GR $4 070 $q Aristotle Univ Thessaloniki, Sch Math, Dept Stat & Operat Res, Fac Sci, Thessaloniki 54124, Greece, 856 $u https://doi.org/10.3390/w13091304 $9 RIV
Počet záznamů: 1