Scopus
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Semiautomatic Diameter-at-Breast-Height Extraction from Structure-from-Motion-Based Point Clouds Using a Low-Cost Fisheye Lens
Forests · Mart 2025
YÖKSİS Kayıtları
Semiautomatic Diameter-at-Breast-Height Extraction from Structure-from-Motion-Based Point Clouds Using a Low-Cost Fisheye Lens
Forests · 2025 SCI-Expanded
DOÇENT MUSTAFA ZEYBEK →
Makale Bilgileri
DergiForests
Yayın TarihiMart 2025
Cilt / Sayfa16
Scopus ID2-s2.0-105001119203
Erişim🔓 Açık Erişim
Özet
The diameter at breast height (DBH) is a fundamental index used to characterize trees and establish forest inventories. The conventional method of measuring the DBH involves using steel tape meters, rope, and calipers. Alternatively, this study has shown that it can be calculated automatically using image-based algorithms, thus reducing time and effort while remaining cost-effective. The method consists of three main steps: image acquisition using a fisheye lens, 3D point cloud generation using structure-from-motion (SfM)-based image processing, and improved DBH estimation. The results indicate that this proposed methodology is comparable to traditional urban forest DBH measurements, with a root-mean-square error ranging from 0.7 to 2.4 cm. The proposed approach has been evaluated using real-world data, and it has been determined that the F-score assessment metric achieves a maximum of 0.91 in a university garden comprising 74 trees. The successful automated DBH measurements through SfM combined with fisheye lenses demonstrate the potential to improve urban tree inventories.
Yazarlar (1)
1
Mustafa Zeybek
ORCID: 0000-0001-8640-1443
Anahtar Kelimeler
3D forest inventory
fisheye
point cloud
urban forest inventory
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey