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A dual-branch weakly supervised learning based network for accurate mapping of woody vegetation from remote sensing images

International journal of applied earth observation and geoinformation, 2023-11, Vol.124, p.103499, Article 103499

2023

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Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects

ISPRS journal of photogrammetry and remote sensing, 2021-01, Vol.171, p.202-223

2021

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Loess Landslide Detection Using Object Detection Algorithms in Northwest China

Remote sensing (Basel, Switzerland), 2022-03, Vol.14 (5), p.1182

2022

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Application of deep learning in ecological resource research: Theories, methods, and challenges

Science China. Earth sciences, 2020-10, Vol.63 (10), p.1457-1474

2020

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Estimation of degraded grassland aboveground biomass using machine learning methods from terrestrial laser scanning data

Ecological indicators, 2020-01, Vol.108, p.105747, Article 105747

2020

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Evaluating maize phenotype dynamics under drought stress using terrestrial lidar

Plant methods, 2019-02, Vol.15 (1), p.11-16, Article 11

2019

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Canopy and Terrain Interactions Affecting Snowpack Spatial Patterns in the Sierra Nevada of California

Water resources research, 2019-11, Vol.55 (11), p.8721-8739

2019

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Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth Algorithms

Frontiers in plant science, 2018-06, Vol.9, p.866-866

2018

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The Transferability of Random Forest in Canopy Height Estimation from Multi-Source Remote Sensing Data

Remote sensing (Basel, Switzerland), 2018-08, Vol.10 (8), p.1183

2018

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A Point-Based Fully Convolutional Neural Network for Airborne LiDAR Ground Point Filtering in Forested Environments

IEEE journal of selected topics in applied earth observations and remote sensing, 2020, Vol.13, p.3958-3974

2020

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Efficient classification using parallel and scalable compressed model and its application on intrusion detection

Expert systems with applications, 2014-10, Vol.41 (13), p.5972-5983

2014

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SAR and Multi-Spectral Data Fusion for Local Climate Zone Classification with Multi-Branch Convolutional Neural Network

Remote sensing (Basel, Switzerland), 2023-01, Vol.15 (2), p.434

2023

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A Novel Computational Framework for Precision Diagnosis and Subtype Discovery of Plant With Lesion

Frontiers in plant science, 2022-01, Vol.12, p.789630

2022

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A Multiscale Point-Supervised Network for Counting Maize Tassels in the Wild

Plant phenomics, 2023-01, Vol.5, p.0100-0100

2023

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Non-destructive estimation of field maize biomass using terrestrial lidar: an evaluation from plot level to individual leaf level

Plant methods, 2020-05, Vol.16 (1), p.69-19, Article 69

2020

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Field-measured canopy height may not be as accurate and heritable as believed: evidence from advanced 3D sensing

Plant methods, 2023-04, Vol.19 (1), p.39-39, Article 39

2023

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Shortwave Radiation Calculation for Forest Plots Using Airborne LiDAR Data and Computer Graphics

Plant phenomics, 2022-01, Vol.2022, p.9856739-9856739

2022

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Simultaneous Prediction of Wheat Yield and Grain Protein Content Using Multitask Deep Learning from Time-Series Proximal Sensing

Plant phenomics, 2022-01, Vol.2022, p.9757948-9757948

2022

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Design and Analysis of a Microgripper with Three-Stage Amplification Mechanism for Micromanipulation

Micromachines (Basel), 2022-02, Vol.13 (3), p.366

2022

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A Framework for Land Use Scenes Classification Based on Landscape Photos

IEEE journal of selected topics in applied earth observations and remote sensing, 2020, Vol.13, p.6124-6141

2020

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A global corrected SRTM DEM product for vegetated areas

Remote sensing letters, 2018-04, Vol.9 (4), p.393-402

2018

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Weak Signal Processing Method for Moving Target of GNSS-S Radar Based on Amplitude and Phase Self-Correction

Remote sensing (Basel, Switzerland), 2023-02, Vol.15 (4), p.969

2023

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Stem-Leaf Segmentation and Phenotypic Trait Extraction of Individual Maize Using Terrestrial LiDAR Data

IEEE transactions on geoscience and remote sensing, 2019-03, Vol.57 (3), p.1336-1346

2019

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Allometry-based estimation of forest aboveground biomass combining LiDAR canopy height attributes and optical spectral indexes

Forest ecosystems, 2022, Vol.9 (5), p.100059-629, Article 100059

2022

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Feature Extraction for Moving Targets Based on the Statistical Characteristics of Echo Amplitude with the L-Band Fully Polarimetric Radar

Remote sensing (Basel, Switzerland), 2023-01, Vol.15 (1), p.80

2023

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A dual-branch weakly supervised learning based network for accurate mapping of woody vegetation from remote sensing images

Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects

Loess Landslide Detection Using Object Detection Algorithms in Northwest China

Application of deep learning in ecological resource research: Theories, methods, and challenges

Estimation of degraded grassland aboveground biomass using machine learning methods from terrestrial laser scanning data

Evaluating maize phenotype dynamics under drought stress using terrestrial lidar

Canopy and Terrain Interactions Affecting Snowpack Spatial Patterns in the Sierra Nevada of California

Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth Algorithms

The Transferability of Random Forest in Canopy Height Estimation from Multi-Source Remote Sensing Data

A Point-Based Fully Convolutional Neural Network for Airborne LiDAR Ground Point Filtering in Forested Environments

Efficient classification using parallel and scalable compressed model and its application on intrusion detection

SAR and Multi-Spectral Data Fusion for Local Climate Zone Classification with Multi-Branch Convolutional Neural Network

A Novel Computational Framework for Precision Diagnosis and Subtype Discovery of Plant With Lesion

A Multiscale Point-Supervised Network for Counting Maize Tassels in the Wild

Non-destructive estimation of field maize biomass using terrestrial lidar: an evaluation from plot level to individual leaf level

Field-measured canopy height may not be as accurate and heritable as believed: evidence from advanced 3D sensing

Shortwave Radiation Calculation for Forest Plots Using Airborne LiDAR Data and Computer Graphics

Simultaneous Prediction of Wheat Yield and Grain Protein Content Using Multitask Deep Learning from Time-Series Proximal Sensing

Design and Analysis of a Microgripper with Three-Stage Amplification Mechanism for Micromanipulation

A Framework for Land Use Scenes Classification Based on Landscape Photos

A global corrected SRTM DEM product for vegetated areas

Weak Signal Processing Method for Moving Target of GNSS-S Radar Based on Amplitude and Phase Self-Correction

Stem-Leaf Segmentation and Phenotypic Trait Extraction of Individual Maize Using Terrestrial LiDAR Data

Allometry-based estimation of forest aboveground biomass combining LiDAR canopy height attributes and optical spectral indexes

Feature Extraction for Moving Targets Based on the Statistical Characteristics of Echo Amplitude with the L-Band Fully Polarimetric Radar

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