An open dataset for individual tree detection in UAV LiDAR point clouds and RGB orthophotos in dense mixed forests.
Sci Rep
; 14(1): 21938, 2024 Sep 20.
Article
en En
| MEDLINE
| ID: mdl-39304703
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.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Idioma:
En
Revista:
Sci Rep
Año:
2024
Tipo del documento:
Article
País de afiliación:
Rusia
Pais de publicación:
Reino Unido