Stefano Puliti
Orcid: 0000-0003-4624-8987
According to our database1,
Stefano Puliti
authored at least 18 papers
between 2015 and 2024.
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Bibliography
2024
SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data.
CoRR, 2024
2023
Point2Tree(P2T) - Framework for Parameter Tuning of Semantic and Instance Segmentation Used with Mobile Laser Scanning Data in Coniferous Forest.
Remote. Sens., August, 2023
Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning.
CoRR, 2023
FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees.
CoRR, 2023
2022
UAV-Based Hyperspectral Imagery for Detection of Root, Butt, and Stem Rot in Norway Spruce.
Remote. Sens., 2022
Automatic detection of snow breakage at single tree level using YOLOv5 applied to UAV imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2022
Large Scale Forest Parameter Estimation Through a Deep Learning-Based Fusion of Sentinel-2 and Tandem-X Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Multitemporal Sentinel-1 and Sentinel-2 Images for Characterization and Discrimination of Young Forest Stands Under Regeneration in Norway.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Country-wide Retrieval of Forest Structure From Optical and SAR Satellite Imagery With Bayesian Deep Learning.
CoRR, 2021
A New Drone Laser Scanning Benchmark Dataset for Characterization of Single-Tree and Forest Biophysical Properties.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Estimation of Forest Growing Stock Volume with UAV Laser Scanning Data: Can It Be Done without Field Data?
Remote. Sens., 2020
2019
Detection and Classification of Root and Butt-Rot (RBR) in Stumps of Norway Spruce Using RGB Images and Machine Learning.
Sensors, 2019
Assessing Harvested Sites in a Forested Boreal Mountain Catchment through Global Forest Watch.
Remote. Sens., 2019
Use of UAV Photogrammetric Data for Estimation of Biophysical Properties in Forest Stands Under Regeneration.
Remote. Sens., 2019
2017
Modelling above Ground Biomass in Tanzanian Miombo Woodlands Using TanDEM-X WorldDEM and Field Data.
Remote. Sens., 2017
2015