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Title:
Uporaba hiperspektralne kamere in nevronske mreže za ločevanje in klasifikacijo slovenskih lesnih vrst
Authors:
ID
Kopač, Luka
(
Author
)
ID
Špiclin, Žiga
(
Author
)
ID
Humar, Miha
(
Author
)
Files:
PDF - Presentation file,
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(45,03 KB)
MD5: BF2DEEDF76BC7012695E122C170DE277
Language:
Slovenian
Typology:
1.12 - Published Scientific Conference Contribution Abstract
Organization:
SciVie - Slovenian Forestry Institute
Keywords:
hiperspektralna kamera
,
nevronska mreža
,
klasifikacija
,
slovenske lesne vrste
Publication status:
Published
Publication version:
Version of Record
Publication date:
01.01.2025
Year of publishing:
2025
Number of pages:
str. 12
Numbering:
Št. 189
PID:
20.500.12556/DiRROS-22569
UDC:
630*1
ISSN on article:
0353-6025
DOI:
10.20315/SFS.189.003
COBISS.SI-ID:
237927171
Publication date in DiRROS:
05.06.2025
Views:
398
Downloads:
149
Metadata:
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Record is a part of a monograph
Title:
Gozd in les : biotska raznolikost in gospodarjenje z gozdovi
Editors:
Hojka Kraigher, Miha Humar, Jožica Gričar
Place of publishing:
Ljubljana
Publisher:
Gozdarski inštitut Slovenije, Založba Silva Slovenica
Year of publishing:
2025
ISBN:
978-961-6993-91-3
COBISS.SI-ID:
236693763
Collection title:
Zbirka Studia Forestalia Slovenica
Collection numbering:
189
Collection ISSN:
0353-6025
Document is financed by a project
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
J7-50231-2024
Name:
GROWTH: Rastni potencial in lastnosti lesa izbranih drevesnih vrst različnih provenienc: možnosti zaščite z modifikacijo in izzivi pri odzivanju na podnebne spremembe
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
J7-50226-2024
Name:
Analitska orodja nove generacije za dediščinsko znanost
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
P4-0015-2020
Name:
Les in lignocelulozni kompoziti
Licences
License:
CC BY-SA 4.0, Creative Commons Attribution-ShareAlike 4.0 International
Link:
http://creativecommons.org/licenses/by-sa/4.0/
Description:
This Creative Commons license is very similar to the regular Attribution license, but requires the release of all derivative works under this same license.
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