119 citations · 243 across the 9 of their papers we have counts for
3 papers · 1 filter
BranchPoseNet: Characterizing tree branching with a deep learning-based pose estimation approach
Stefano Puliti, Carolin Fischer, Rasmus Astrup
This paper presents an automated pipeline for detecting tree whorls in proximally laser scanning data using a pose-estimation deep learning model. Accurate whorl detection provides…
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…
SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data
Maciej Wielgosz, Stefano Puliti, Binbin Xiang +2
This research advances individual tree crown (ITC) segmentation in lidar data, using a deep learning model applicable to various laser scanning types: airborne (ULS), terrestrial (…