Valme, D., Rassõlkin, A., Liyanage, D. C.

full record print

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

ISSN

2996-184X

ISBN

979-8-3315-6365-3

scientific publication

teaduspublikatsioon

TalTech department

Department of Civil Engineering and Architecture

Department of Electrical Power Engineering and Mechatronics

language

English

Märksõnad ja võtmesõnad

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)

Teaduspublikatsiooni meetrika

classifier

3.1

Valme, D., Rassõlkin, A., Liyanage, D. C. Hyperspectral scene classification for winter road navigation: A baseline comparison of classical machine learning and deep learning methods // 2026 12th International Conference on Mechatronics and Robotics Engineering (ICMRE). : IEEE, 2026. p. 373-379. https://ieeexplore.ieee.org/document/11533949 https://doi.org/10.1109/ICMRE69538.2026.11533949