2 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.CV2026
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…