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

peter.suber's bookmarks 2024-09-22

Summary:

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.

 

Link:

https://pubmed.ncbi.nlm.nih.gov/39304703/

From feeds:

Open Access Tracking Project (OATP) » peter.suber's bookmarks

Tags:

oa.new oa.data oa.biology oa.environment

Date tagged:

09/22/2024, 09:58

Date published:

09/22/2024, 05:58