Utilization of UAV-Borne RGB Data for Monitoring Horses: Comparison of Classification Methods
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F23%3A39920286" target="_blank" >RIV/00216275:25410/23:39920286 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/abstract/document/10211822" target="_blank" >https://ieeexplore.ieee.org/abstract/document/10211822</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/CISTI58278.2023.10211822" target="_blank" >10.23919/CISTI58278.2023.10211822</a>
Alternative languages
Result language
angličtina
Original language name
Utilization of UAV-Borne RGB Data for Monitoring Horses: Comparison of Classification Methods
Original language description
The paper describes utilizing remotely sensed RGB data to support monitoring horses in a natural environment on demand. Data are sensed using an unmanned aerial vehicle (UAV). UAVs provide very high spatial resolution data sensed at a low altitude on demand. Sensing is limited by weather conditions and legal rules only. Terrain does not need to be accessible. The paper provides a comparison of several pixel-based and object-based classification methods, namely Maximum Likelihood, Random Trees, SVM, and K-NN. Manual classification is used as a reference method.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Iberian Conference on Information Systems and Technologies (CISTI)
ISBN
979-8-3503-0527-2
ISSN
2166-0727
e-ISSN
2166-0727
Number of pages
6
Pages from-to
191760
Publisher name
IEEE (Institute of Electrical and Electronics Engineers)
Place of publication
New York
Event location
Aveiro
Event date
Jun 20, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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