Hyperspectral scene classification for winter road navigation: A baseline comparison of classical machine learning and deep learning methods
author
Valme, Daniil
Rassõlkin, Anton
Liyanage, Dhanushka Chamara
statement of authorship
Daniil Valme, Anton Rassõlkin, Dhanushka C. Liyanage
source
2026 12th International Conference on Mechatronics and Robotics Engineering (ICMRE)
publisher
IEEE
year of publication
2026
pages
p. 373-379
conference name, date
Oldenburg, Germany, from March 2-4, 2026
url
https://ieeexplore.ieee.org/document/11533949
https://doi.org/10.1109/ICMRE69538.2026.11533949
subject term
autonoomsed robotid
pildindus
talveaeg
lumikate
spektraalanalüüs
tehisõpe
süvaõpe
tehisnärvivõrgud
keyword
hyperspectral imaging (HSI)
autonomous navigation
winter perception
semantic segmentation
spectral classification
machine learning (ML)
deep learning (DL)
support vector machines (SVM)
random forest (RF)
XGBoost
eXtreme gradient boosting (XGBoost)
ISSN
2996-184X
ISBN
979-8-3315-6365-3
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
Department of Civil Engineering and Architecture
Department of Electrical Power Engineering and Mechatronics
ehituse ja arhitektuuri instituut
elektroenergeetika ja mehhatroonika instituut
language
English
Inglise