5 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 5 cited
Benchmarking tree species classification from proximally-sensed laser scanning data: introducing the FOR-species20K dataset
Stefano Puliti, Emily R. Lines, Jana Müllerová +30
Proximally-sensed laser scanning offers significant potential for automated forest data capture, but challenges remain in automatically identifying tree species without additional…
cs.CV2022★ 4 cited
Exploration of Convolutional Neural Network Architectures for Large Region Map Automation
R. M. Tsenov, C. J. Henry, J. L. Storie +3
Deep learning semantic segmentation algorithms have provided improved frameworks for the automated production of Land-Use and Land-Cover (LULC) maps, which significantly increases…