Results 51 to 60 of about 29,125 (157)

Topology-based individual tree segmentation for automated processing of terrestrial laser scanning point clouds

International Journal of Applied Earth Observations and Geoinformation, 2023
Terrestrial laser scanning (TLS) is a ground-based approach to rapidly acquire 3D point clouds via Light Detection and Ranging (LiDAR) technologies. Quantifying tree-scale structure from TLS point clouds requires segmentation, yet there is a lack of ...
Xin Xu, Federico Iuricich, Kim Calders, John Armston, Leila De Floriani   +4 more
doaj   +1 more source

A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi, Giorgio Ricciardiello Mejia, Andre Metzger, Kang Hyun Ryu, Salonee Marwaha, Eva Grzegorczyk, Li Zhou, Eliana Jacobs, Boris Gilyadov, Claudia Kunney, Liqhwa Ncube, Ankit Parekh, Emmanuel Mignot, Fanny M. Elahi, Joseph Winer, Kathleen Poston, Andreas Brink‐Kjaer, Emmanuel H. During   +17 more
wiley   +1 more source

Comparison of UAV-Based LiDAR and Photogrammetric Point Cloud for Individual Tree Species Classification of Urban Areas

Remote Sensing
UAV LiDAR and digital aerial photogrammetry (DAP) have shown great performance in forest inventory due to their advantage in three-dimensional information extraction.
Qixia Man, Xinming Yang, Haijian Liu, Baolei Zhang, Pinliang Dong, Jingru Wu, Chunhui Liu, Changyin Han, Cong Zhou, Zhuang Tan, Qian Yu   +10 more
doaj   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif, Diane Demailly, Gabriella A. Horvàth, Juan Dario Ortigoza Escobar, Nathalie Dorison, Mayté Castro Jiménez, Cécile A. Hubsch, Thomas Wirth, Gun‐Marie Hariz, Sophie Huby, Morgan Dornadic, Zohra Souei, Muhammad Mushhood Ur Rehman, Simone Hemm, Mehdi Boulaymen, Eduardo M. Moraud, Jocelyne Bloch, Xavier Vasques   +17 more
wiley   +1 more source

Dense orchard landscape mapping based on image merging with skeleton prediction

International Journal of Applied Earth Observations and Geoinformation, 2023
To address the difficulty of individual vine-plant segmentation in large orchards, this study proposes a segmentation model for individual canopies that combines the characteristics of tree deciduousness and natural growth patterns.
Shijia Pan, Zijie Niu, Juntao Deng, Wen Gao, Yuncai Yan, Mingu Zhou, Wenting Han   +6 more
doaj   +1 more source

From Peaks to Crowns: A Morphology-Based UAV-LiDAR Framework for Individual Tree Segmentation [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Recognising individual trees has important applications in forest ecology and management. Conventional individual tree segmentation methods tend to favour dominant trees with pronounced canopy surface features but have limited capability in detecting ...
Y. Guo, H. Li, J. Yuan, H. Su, T. Xu, H. Sun, Q. Ma, Q. Ma, Q. Ma, Q. Ma   +9 more
doaj   +1 more source

A multi-task collaborative method for individual tree segmentation and multi-dimensional attribute extraction in mountainous areas using deep learning technologies

International Journal of Applied Earth Observations and Geoinformation
Accurate mapping and monitoring of forest structure and composition in complex mountainous regions remain challenging because of crown occlusion, crown adhesion, and pronounced topographic variation.
Guangbin Lei, Ainong Li, Jinhu Bian, Zhengjian Zhang, Xiaohan Lin, Xi Nan, Amin Naboureh, Yulan Chen, Yi Deng   +8 more
doaj   +1 more source

Semantic-Aware Cross-Modal Transfer for UAV-LiDAR Individual Tree Segmentation

Remote Sensing
Cross-modal semantic segmentation of individual tree LiDAR point clouds is critical for accurately characterizing tree attributes, quantifying ecological interactions, and estimating carbon storage.
Fuyang Zhou, Haiqing He, Ting Chen, Tao Zhang, Minglu Yang, Ye Yuan, Jiahao Liu   +6 more
doaj   +1 more source

Single Tree Semantic Segmentation from UAV Images Based on Improved U-Net Network

Drones
Single tree detection is essential in forest resource surveys. Efficient, accurate, and rapid extraction of individual trees facilitates the timely acquisition of forest resource information.
Shicheng Xu, Banghui Yang, Ruirui Wang, Dabing Yang, Jiatian Li, Jiahao Wei   +5 more
doaj   +1 more source

Automatic Extraction of Grasses and Individual Trees in Urban Areas Based on Airborne Hyperspectral and LiDAR Data

Remote Sensing, 2020
Urban vegetation extraction is very important for urban biodiversity assessment and protection. However, due to the diversity of vegetation types and vertical structure, it is still challenging to extract vertical information of urban vegetation ...
Qixia Man, Pinliang Dong, Xinming Yang, Quanyuan Wu, Rongqing Han   +4 more
doaj   +1 more source