Autor: |
Ivan Dubrovin, Clement Fortin, Alexander Kedrov |
Jazyk: |
angličtina |
Rok vydání: |
2024 |
Předmět: |
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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 |
Externí odkaz: |
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