An open dataset for individual tree detection in UAV LiDAR point clouds and RGB orthophotos in dense mixed forests

Autor: Ivan Dubrovin, Clement Fortin, Alexander Kedrov
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Scientific Reports, Vol 14, Iss 1, Pp 1-7 (2024)
Druh dokumentu: article
ISSN: 2045-2322
DOI: 10.1038/s41598-024-72669-5
Popis: Abstract We present an open access dataset for development, evaluation, and comparison of algorithms for individual tree detection in dense mixed forests. The dataset consists of a detailed field inventory and overlapping UAV LiDAR and RGB orthophoto, which make it possible to develop algorithms that fuse multimodal data to improve detection results. Along with the dataset, we describe and implement a basic local maxima filtering baseline and an algorithm for automatically matching detection results to the ground truth trees for detection algorithm evaluation.
Databáze: Directory of Open Access Journals
Nepřihlášeným uživatelům se plný text nezobrazuje