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Automated tree-crown and height detection in a young forest plantation using mask region-based convolutional neural network (Mask R-CNN)

ISPRS journal of photogrammetry and remote sensing, 2021-08, Vol.178, p.112-123

2021

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Tree species classification using UAS-based digital aerial photogrammetry point clouds and multispectral imageries in subtropical natural forests

International journal of applied earth observation and geoinformation, 2020-10, Vol.92, p.102173, Article 102173

2020

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Delineating Individual Tree Crowns in an Uneven-Aged, Mixed Broadleaf Forest Using Multispectral Watershed Segmentation and Multiscale Fitting

IEEE journal of selected topics in applied earth observations and remote sensing, 2017-04, Vol.10 (4), p.1390-1401

2017

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Deep learning-based individual tree crown delineation in mangrove forests using very-high-resolution satellite imagery

ISPRS journal of photogrammetry and remote sensing, 2022-07, Vol.189, p.220-235

2022

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Tree Crown Delineation Algorithm Based on a Convolutional Neural Network

Remote sensing (Basel, Switzerland), 2020-04, Vol.12 (8), p.1288

2020

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Tree Species Traits Determine the Success of LiDAR-Based Crown Mapping in a Mixed Temperate Forest

Remote sensing (Basel, Switzerland), 2020-01, Vol.12 (2), p.309

2020

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Using the U‐net convolutional network to map forest types and disturbance in the Atlantic rainforest with very high resolution images

Remote sensing in ecology and conservation, 2019-12, Vol.5 (4), p.360-375

2019

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A Hierarchical Approach to Three-Dimensional Segmentation of LiDAR Data at Single-Tree Level in a Multilayered Forest

IEEE transactions on geoscience and remote sensing, 2016-07, Vol.54 (7), p.4190-4203

2016

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Individual Tree Crown Delineation From UAS Imagery Based on Region Growing by Over-Segments With a Competitive Mechanism

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-11

2022

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Forest biomass estimation from airborne LiDAR data using machine learning approaches

Remote sensing of environment, 2012-10, Vol.125, p.80-91

2012

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Evaluation of dimensionality reduction methods for individual tree crown delineation using instance segmentation network and UAV multispectral imagery in urban forest

Computers and electronics in agriculture, 2021-12, Vol.191, p.106506, Article 106506

2021

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The use of remotely sensed data to model habitat selections of pileated woodpeckers (Dryocopus pileatus) in fragmented landscapes

Forest ecology and management, 2022-10, Vol.521, p.120433, Article 120433

2022

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A Local Projection-Based Approach to Individual Tree Detection and 3-D Crown Delineation in Multistoried Coniferous Forests Using High-Density Airborne LiDAR Data

IEEE transactions on geoscience and remote sensing, 2019-02, Vol.57 (2), p.1168-1182

2019

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An efficient approach to 3D single tree-crown delineation in LiDAR data

ISPRS journal of photogrammetry and remote sensing, 2015-10, Vol.108, p.219-233

2015

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A New Individual Tree Species Recognition Method Based on a Convolutional Neural Network and High-Spatial Resolution Remote Sensing Imagery

Remote sensing (Basel, Switzerland), 2021-01, Vol.13 (3), p.479

2021

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A deep-learning-based tree species classification for natural secondary forests using unmanned aerial vehicle hyperspectral images and LiDAR

Ecological indicators, 2024-02, Vol.159, p.111608, Article 111608

2024

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Spectral–Spatial transformer-based semantic segmentation for large-scale mapping of individual date palm trees using very high-resolution satellite data

Ecological indicators, 2024-06, Vol.163, p.112110, Article 112110

2024

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Automatic Tree Crown Extraction from UAS Multispectral Imagery for the Detection of Bark Beetle Disturbance in Mixed Forests

Remote sensing (Basel, Switzerland), 2020-12, Vol.12 (24), p.4081

2020

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Individual Tree Crown Delineation Using Multispectral LiDAR Data

Sensors (Basel, Switzerland), 2019-12, Vol.19 (24), p.5421

2019

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Effect of varied unmanned aerial vehicle laser scanning pulse density on accurately quantifying forest structure

International journal of remote sensing, 2022-01, Vol.43 (2), p.721-750

2022

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Tree Crown Detection and Delineation in a Temperate Deciduous Forest from UAV RGB Imagery Using Deep Learning Approaches: Effects of Spatial Resolution and Species Characteristics

Remote sensing (Basel, Switzerland), 2023-01, Vol.15 (3), p.778

2023

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Injecting Domain Knowledge into Deep Neural Networks for Tree Crown Delineation

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-1

2022

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A Comparison of Three Airborne Laser Scanner Types for Species Identification of Individual Trees

Sensors (Basel, Switzerland), 2021-12, Vol.22 (1), p.35

2021

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Individual Tree Crown Delineation Using Airborne LiDAR Data and Aerial Imagery in the Taiga–Tundra Ecotone

Remote sensing (Basel, Switzerland), 2024-11, Vol.16 (21), p.3920

2024

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A New Individual Tree Crown Delineation Method for High Resolution Multispectral Imagery

Remote sensing (Basel, Switzerland), 2020-02, Vol.12 (3), p.585

2020

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Automated tree-crown and height detection in a young forest plantation using mask region-based convolutional neural network (Mask R-CNN)

Tree species classification using UAS-based digital aerial photogrammetry point clouds and multispectral imageries in subtropical natural forests

Delineating Individual Tree Crowns in an Uneven-Aged, Mixed Broadleaf Forest Using Multispectral Watershed Segmentation and Multiscale Fitting

Deep learning-based individual tree crown delineation in mangrove forests using very-high-resolution satellite imagery

Tree Crown Delineation Algorithm Based on a Convolutional Neural Network

Tree Species Traits Determine the Success of LiDAR-Based Crown Mapping in a Mixed Temperate Forest

Using the U‐net convolutional network to map forest types and disturbance in the Atlantic rainforest with very high resolution images

A Hierarchical Approach to Three-Dimensional Segmentation of LiDAR Data at Single-Tree Level in a Multilayered Forest

Individual Tree Crown Delineation From UAS Imagery Based on Region Growing by Over-Segments With a Competitive Mechanism

Forest biomass estimation from airborne LiDAR data using machine learning approaches

Evaluation of dimensionality reduction methods for individual tree crown delineation using instance segmentation network and UAV multispectral imagery in urban forest

The use of remotely sensed data to model habitat selections of pileated woodpeckers (Dryocopus pileatus) in fragmented landscapes

A Local Projection-Based Approach to Individual Tree Detection and 3-D Crown Delineation in Multistoried Coniferous Forests Using High-Density Airborne LiDAR Data

An efficient approach to 3D single tree-crown delineation in LiDAR data

A New Individual Tree Species Recognition Method Based on a Convolutional Neural Network and High-Spatial Resolution Remote Sensing Imagery

A deep-learning-based tree species classification for natural secondary forests using unmanned aerial vehicle hyperspectral images and LiDAR

Spectral–Spatial transformer-based semantic segmentation for large-scale mapping of individual date palm trees using very high-resolution satellite data

Automatic Tree Crown Extraction from UAS Multispectral Imagery for the Detection of Bark Beetle Disturbance in Mixed Forests

Individual Tree Crown Delineation Using Multispectral LiDAR Data

Effect of varied unmanned aerial vehicle laser scanning pulse density on accurately quantifying forest structure

Tree Crown Detection and Delineation in a Temperate Deciduous Forest from UAV RGB Imagery Using Deep Learning Approaches: Effects of Spatial Resolution and Species Characteristics

Injecting Domain Knowledge into Deep Neural Networks for Tree Crown Delineation

A Comparison of Three Airborne Laser Scanner Types for Species Identification of Individual Trees

Individual Tree Crown Delineation Using Airborne LiDAR Data and Aerial Imagery in the Taiga–Tundra Ecotone

A New Individual Tree Crown Delineation Method for High Resolution Multispectral Imagery

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