Number of the records: 1
Optimized Texture Spectral Similarity Criteria
SYS 0546216 LBL 01000a^^22220027750^450 005 20220320214411.1 017 $a 10.1007/978-3-030-88113-9_52 $2 DOI 100 $a 20211005d m y slo 03 ba 101 $a eng $d eng 102 $a CH 200 1-
$a Optimized Texture Spectral Similarity Criteria 215 $a 12 s. $c P 463 -1
$1 001 cav_un_epca*0546212 $1 010 $a 978-3-030-88113-9 $1 011 $a 1865-0929 $1 200 1 $a Advances in Computational Collective Intelligence $v S. 644-655 $1 210 $a Cham $c Springer International Publishing $d 2021 $1 225 $a Communications in Computer and Information Science $v 1463 $1 702 1 $a Wojtkiewicz $b Krystian $4 340 $1 702 1 $a Treur $b Jan $4 340 $1 702 1 $a Pimenidis $b Elias $4 340 $1 702 1 $a Maleszka $b Marcin $4 340 610 $a Texture spectral similarity criterion 610 $a Bidirectional Texture Function 610 $a hyperspectral data 610 $a texture modeling 700 -1
$3 cav_un_auth*0283206 $a Havlíček $b Michal $p UTIA-B $i Rozpoznávání obrazu $j Department of Pattern Recognition $k RO $l RO $w Department of Pattern Recognition $T Ústav teorie informace a automatizace AV ČR, v. v. i. 701 -1
$3 cav_un_auth*0101093 $a Haindl $b Michal $p UTIA-B $i Rozpoznávání obrazu $j Department of Pattern Recognition $k RO $l RO $w Department of Pattern Recognition $T Ústav teorie informace a automatizace AV ČR, v. v. i. 856 $u http://library.utia.cas.cz/separaty/2021/RO/haindl-0546216.pdf
Number of the records: 1