7 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CV2026
Riverine Land Cover Mapping through Semantic Segmentation of Multispectral Point Clouds
Sopitta Thurachen, Josef Taher, Matti Lehtomäki +6
Accurate land cover mapping in riverine environments is essential for effective river management, ecological understanding, and geomorphic change monitoring. This study explores th…
cs.CV2025★ 7 cited
Multispectral airborne laser scanning for tree species classification: a benchmark of machine learning and deep learning algorithms
Josef Taher, Eric Hyyppä, Matti Hyyppä +46
Climate-smart and biodiversity-preserving forestry demands precise information on forest resources, extending to the individual tree level. Multispectral airborne laser scanning (A…
cs.CV2024★ 1 cited
Unsupervised semantic segmentation of urban high-density multispectral point clouds
Oona Oinonen, Lassi Ruoppa, Josef Taher +7
The availability of highly accurate urban airborne laser scanning (ALS) data will increase rapidly in the future, especially as acquisition costs decrease, for example through the…