Results 111 to 120 of about 219 (129)

A new method for individual treetop detection with low-resolution aerial laser scanned data

open access: yesModeling Earth Systems and Environment
AbstractIn the past decade, the use of three-dimensional forest information from airborne Light Detection and Ranging (LiDAR) has become widespread in forest inventories. Accurate Individual Treetop Detection (ITD) and crown boundary delineation using LiDAR data are critical for obtaining precise inventory metrics. To address this need, we introduced a
Szilárd Szabó, Péter Török
exaly   +2 more sources
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Treetop detection using convolutional neural networks trained through automatically generated pseudo labels

International Journal of Remote Sensing, 2019
Using remote sensing techniques to detect trees at the individual level is crucial for forest management while finding the treetop is an initial and important first step.
Changlin Xiao, Rongjun Qin, Xu Huang
openaire   +1 more source

TREETOP Study: A Novel Lung Function Technique for the Early Detection of Chronic Obstructive Pulmonary Disease

American Journal of Respiratory and Critical Care Medicine
Abstract INTRODUCTION Chronic obstructive pulmonary disease (COPD) causes major morbidity and mortality worldwide. Diagnosis relies on demonstrating airflow limitation on spirometry, which is insensitive to early changes in the small airways (where disease typically begins).
N. Smith   +14 more
openaire   +1 more source

Unsupervised training for treetop detection with airborne laser scanning data

2012
Numerous methods have been proposed for the detection of single trees in airborne laser scanning (ALS) data. Most of them are highly dependent on the initial settings of the algorithm, as parameters (e.g. smoothing of the digital canopy height model) will affect the overall detection performance, and more particularly the trade-off between omission and
Monnet, J.M.   +2 more
openaire   +1 more source

VEGETATION DENSITY ESTIMATION FOR RIVERINE BAMBOO FORESTS USING UAV IMAGES AND TREETOP DETECTION

Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering), 2022
Togo TEZUKA   +3 more
openaire   +1 more source

Automated Treetop Detection and Tree Crown Identification Using Discrete-return Lidar Data

Accurate estimates of tree and forest biomass are essential for a wide range of applications. Automated treetop detection and tree crown discrimination using LiDAR data can greatly facilitate forest biomass estimation. Previous work has focused on homogenous or single-species forests, while few studies have focused on mixed forests.
openaire   +1 more source

Evaluation of the NEON dataset for the automatic detection of treetops and delineation of tree crowns in American and German mixed forests

Earth Resources and Environmental Remote Sensing/GIS Applications XIII, 2022
Palka, Jessica   +3 more
openaire   +2 more sources

Edge-Driven Orchard Analytics: Automated Treetop Detection using YOLOv11

2026 49th MIPRO ICT and Electronics Convention (MIPRO)
Mihailo Ilić   +4 more
openaire   +2 more sources

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