Research graph
References from Early Detection of Pine Wilt Disease at the Pre-Visual Stage Using UAV-Based Hyperspectral Imagery. Local targets link to admitted publications; unresolved targets remain external evidence.
Pathology of the Pine Wilt Disease Caused by Bursaphelenchus xylophilus
10.1146/annurev.py.21.090183.001221 · 1983 · External reference
Pine Wilt Disease: A Threat to European Forestry
10.1007/s10658-011-9924-x · 2012 · External reference
10.3390/s20133729
10.3390/s20133729 · External reference
Physiological Process of the Symptom Development and Resistance Mechanism in Pine Wilt Disease
10.1007/bf02348216 · 1997 · External reference
Multichannel Object Detection for Detecting Suspected Trees with Pine Wilt Disease Using Multispectral Drone Imagery
10.1109/jstars.2021.3102218 · 2021 · External reference
Application of Conventional UAV-Based High-Throughput Object Detection to the Early Diagnosis of Pine Wilt Disease by Deep Learning
10.1016/j.foreco.2021.118986 · 2021 · External reference
Automatic Pine Wilt Disease Detection Based on Improved YOLOv8 UAV Multispectral Imagery
10.1016/j.ecoinf.2024.102846 · 2024 · External reference
Early Detection of Pine Wilt Disease Using Deep Learning Algorithms and UAV-Based Multispectral Imagery
10.1016/j.foreco.2021.119493 · 2021 · External reference
PWD-Lightweight and Feature Fusion Network for Multi-Stage Joint Detection of Pine Wilt Disease
10.1016/j.compag.2025.111015 · 2025 · External reference
Advanced Spectral Classifiers for Hyperspectral Images: A Review
10.1109/mgrs.2016.2616418 · 2017 · External reference
10.3390/rs12142280
10.3390/rs12142280 · External reference
Using Only the Red-Edge Bands Is Sufficient to Detect Tree Stress: A Case Study on the Early Detection of PWD Using Hyperspectral Drone Images
10.1016/j.compag.2024.108665 · 2024 · External reference
A Novel BH3DNet Method for Identifying Pine Wilt Disease in Masson Pine Fusing UAS Hyperspectral Imagery and LiDAR Data
2024 · External reference
Detection of Pine Wood Nematode Infestation Using Hyperspectral Drone Images
10.1016/j.ecolind.2024.112034 · 2024 · External reference
Early Detection of Pine Wilt Disease in Pinus Tabuliformis in North China Using a Field Portable Spectrometer and UAV-Based Hyperspectral Imagery
10.1186/s40663-021-00328-6 · 2021 · External reference
Impacts of Pine Species, Infection Response, and Data Type on the Detection of Bursaphelenchus Xylophilus Using Close-Range Hyperspectral Remote Sensing
10.1016/j.rse.2024.114468 · 2024 · External reference
10.3390/rs17111833
10.3390/rs17111833 · External reference
10.3389/fpls.2022.1000093
10.3389/fpls.2022.1000093 · External reference
10.3390/ijms231810797
10.3390/ijms231810797 · External reference
Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
10.1109/34.87344 · 1991 · External reference
Unresolved reference
External reference
Robust Statistics for Outlier Detection
10.1002/widm.2 · 2011 · External reference
Smoothing and Differentiation of Data by Simplified Least Squares Procedures
10.1021/ac60214a047 · 1964 · External reference
A New Reflectance Index for Remote Sensing of Chlorophyll Content in Higher Plants: Tests Using Eucalyptus Leaves
10.1016/s0176-1617(99)80314-9 · 1999 · External reference
Derivation of Leaf-Area Index from Quality of Light on the Forest Floor
10.2307/1936256 · 1969 · External reference
A Log-Ratio Vegetation Index (LRVI) for Discrimination and Classification of Remote Sensing Data
10.1051/silu/20202801045 · 2020 · External reference
Use of Hyperspectral Derivative Ratios in the Red-Edge Region to Identify Plant Stress Responses to Gas Leaks
10.1016/j.rse.2004.06.002 · 2004 · External reference
10.1109/icpr.2010.764
10.1109/icpr.2010.764 · External reference
Random Forests
10.1023/a:1010933404324 · 2001 · External reference
Detection of Red Edge Position and Chlorophyll Content by Reflectance Measurements Near 700 Nm
10.1016/s0176-1617(96)80285-9 · 1996 · External reference
Sentinel-2 Based Prediction of Spruce budworm Defoliation Using Red-Edge Spectral Vegetation Indices
10.1080/2150704x.2020.1767824 · 2020 · External reference
Monitoring Drought Effects on Vegetation Water Content and Fluxes in Chaparral with the 970 Nm Water Band Index
10.1016/j.rse.2005.07.015 · 2006 · External reference
Visible and Near-Infrared Reflectance Techniques for Diagnosing Plant Physiological Status
10.1016/s1360-1385(98)01213-8 · 1998 · External reference
Clustering Symptomatic Pixels in Broomrape-Infected Carrots Facilitates Targeted Evaluations of Alterations in Host Primary Plant Traits
10.1016/j.compag.2024.108893 · 2024 · External reference
Tree Crown Delineation and Tree Species Classification in Boreal Forests Using Hyperspectral and ALS Data
10.1016/j.rse.2013.09.006 · 2014 · External reference
Crown-Level Tree Species Classification from AISA Hyperspectral Imagery Using an Innovative Pixel-Weighting Approach
2018 · External reference
The Delineation of Tree Crowns in Australian Mixed Species Forests Using Hyperspectral Compact Airborne Spectrographic Imager (CASI) Data
10.1016/j.rse.2005.12.015 · 2006 · External reference
Individual Tree Crown Delineation in High Resolution Aerial RGB Imagery Using StarDist-Based Model
10.1016/j.rse.2025.114618 · 2025 · External reference
Feature Disentanglement Based Domain Adaptation Network for Cross-Scene Coastal Wetland Hyperspectral Image Classification
2024 · External reference
Locality Robust Domain Adaptation for Cross-Scene Hyperspectral Image Classification
10.1016/j.eswa.2023.121822 · 2024 · External reference
Identification of Optimal Detection Timing for Early Pine Wilt Disease Monitoring Using Hyperspectral Time-Series Analysis
10.1016/j.ecoinf.2026.103802 · 2026 · External reference
Robust Statistics for Outlier Detection
10.1002/widm.2 · ExternalCitation · doi-reference
Physiological Process of the Symptom Development and Resistance Mechanism in Pine Wilt Disease
10.1007/bf02348216 · ExternalCitation · doi-reference
Pine Wilt Disease: A Threat to European Forestry
10.1007/s10658-011-9924-x · ExternalCitation · doi-reference
Using Only the Red-Edge Bands Is Sufficient to Detect Tree Stress: A Case Study on the Early Detection of PWD Using Hyperspectral Drone Images
10.1016/j.compag.2024.108665 · ExternalCitation · doi-reference
Clustering Symptomatic Pixels in Broomrape-Infected Carrots Facilitates Targeted Evaluations of Alterations in Host Primary Plant Traits
10.1016/j.compag.2024.108893 · ExternalCitation · doi-reference
PWD-Lightweight and Feature Fusion Network for Multi-Stage Joint Detection of Pine Wilt Disease
10.1016/j.compag.2025.111015 · ExternalCitation · doi-reference
Automatic Pine Wilt Disease Detection Based on Improved YOLOv8 UAV Multispectral Imagery
10.1016/j.ecoinf.2024.102846 · ExternalCitation · doi-reference
Identification of Optimal Detection Timing for Early Pine Wilt Disease Monitoring Using Hyperspectral Time-Series Analysis
10.1016/j.ecoinf.2026.103802 · ExternalCitation · doi-reference
Detection of Pine Wood Nematode Infestation Using Hyperspectral Drone Images
10.1016/j.ecolind.2024.112034 · ExternalCitation · doi-reference
Locality Robust Domain Adaptation for Cross-Scene Hyperspectral Image Classification
10.1016/j.eswa.2023.121822 · ExternalCitation · doi-reference
Application of Conventional UAV-Based High-Throughput Object Detection to the Early Diagnosis of Pine Wilt Disease by Deep Learning
10.1016/j.foreco.2021.118986 · ExternalCitation · doi-reference
Early Detection of Pine Wilt Disease Using Deep Learning Algorithms and UAV-Based Multispectral Imagery
10.1016/j.foreco.2021.119493 · ExternalCitation · doi-reference
Use of Hyperspectral Derivative Ratios in the Red-Edge Region to Identify Plant Stress Responses to Gas Leaks
10.1016/j.rse.2004.06.002 · ExternalCitation · doi-reference
Monitoring Drought Effects on Vegetation Water Content and Fluxes in Chaparral with the 970 Nm Water Band Index
10.1016/j.rse.2005.07.015 · ExternalCitation · doi-reference
The Delineation of Tree Crowns in Australian Mixed Species Forests Using Hyperspectral Compact Airborne Spectrographic Imager (CASI) Data
10.1016/j.rse.2005.12.015 · ExternalCitation · doi-reference
Tree Crown Delineation and Tree Species Classification in Boreal Forests Using Hyperspectral and ALS Data
10.1016/j.rse.2013.09.006 · ExternalCitation · doi-reference
Impacts of Pine Species, Infection Response, and Data Type on the Detection of Bursaphelenchus Xylophilus Using Close-Range Hyperspectral Remote Sensing
10.1016/j.rse.2024.114468 · ExternalCitation · doi-reference
Individual Tree Crown Delineation in High Resolution Aerial RGB Imagery Using StarDist-Based Model
10.1016/j.rse.2025.114618 · ExternalCitation · doi-reference
Detection of Red Edge Position and Chlorophyll Content by Reflectance Measurements Near 700 Nm
10.1016/s0176-1617(96)80285-9 · ExternalCitation · doi-reference
A New Reflectance Index for Remote Sensing of Chlorophyll Content in Higher Plants: Tests Using Eucalyptus Leaves
10.1016/s0176-1617(99)80314-9 · ExternalCitation · doi-reference
Visible and Near-Infrared Reflectance Techniques for Diagnosing Plant Physiological Status
10.1016/s1360-1385(98)01213-8 · ExternalCitation · doi-reference
Smoothing and Differentiation of Data by Simplified Least Squares Procedures
10.1021/ac60214a047 · ExternalCitation · doi-reference
Random Forests
10.1023/a:1010933404324 · ExternalCitation · doi-reference
A Log-Ratio Vegetation Index (LRVI) for Discrimination and Classification of Remote Sensing Data
10.1051/silu/20202801045 · ExternalCitation · doi-reference
Sentinel-2 Based Prediction of Spruce budworm Defoliation Using Red-Edge Spectral Vegetation Indices
10.1080/2150704x.2020.1767824 · ExternalCitation · doi-reference
Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
10.1109/34.87344 · ExternalCitation · doi-reference
10.1109/icpr.2010.764
10.1109/icpr.2010.764 · ExternalCitation · doi-reference
Multichannel Object Detection for Detecting Suspected Trees with Pine Wilt Disease Using Multispectral Drone Imagery
10.1109/jstars.2021.3102218 · ExternalCitation · doi-reference
Advanced Spectral Classifiers for Hyperspectral Images: A Review
10.1109/mgrs.2016.2616418 · ExternalCitation · doi-reference
Pathology of the Pine Wilt Disease Caused by Bursaphelenchus xylophilus
10.1146/annurev.py.21.090183.001221 · ExternalCitation · doi-reference
Early Detection of Pine Wilt Disease in Pinus Tabuliformis in North China Using a Field Portable Spectrometer and UAV-Based Hyperspectral Imagery
10.1186/s40663-021-00328-6 · ExternalCitation · doi-reference
Derivation of Leaf-Area Index from Quality of Light on the Forest Floor
10.2307/1936256 · ExternalCitation · doi-reference
10.3389/fpls.2022.1000093
10.3389/fpls.2022.1000093 · ExternalCitation · doi-reference
10.3390/ijms231810797
10.3390/ijms231810797 · ExternalCitation · doi-reference
10.3390/rs12142280
10.3390/rs12142280 · ExternalCitation · doi-reference
10.3390/rs17111833
10.3390/rs17111833 · ExternalCitation · doi-reference
10.3390/s20133729
10.3390/s20133729 · ExternalCitation · doi-reference
