Wei Yao
Orcid: 0000-0001-7704-0615Affiliations:
- The Hong Kong Polytechnic University, Hong Kong Research Institute for Sustainable Urban Development, Hong Kong, China
- Technical University of Munich, Munich, Germany (former)
According to our database1,
Wei Yao
authored at least 47 papers
between 2010 and 2024.
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Bibliography
2024
Urban GeoBIM Construction by Integrating Semantic LiDAR Point Clouds With as-Designed BIM Models.
IEEE Trans. Geosci. Remote. Sens., 2024
UB-FineNet: Urban Building Fine-grained Classification Network for Open-access Satellite Images.
CoRR, 2024
2023
Self-Supervised Depth Estimation Leveraging Global Perception and Geometric Smoothness.
IEEE Trans. Intell. Transp. Syst., February, 2023
Self-supervised Multi-task Learning Framework for Safety and Health-Oriented Connected Driving Environment Perception using Onboard Camera.
CoRR, 2023
Automatic Classification of Single Tree Decay Stages from Combined ALS Data and Aerial Imagery using Machine Learning.
CoRR, 2023
2022
Pairwise Point Cloud Registration Using Graph Matching and Rotation-Invariant Features.
IEEE Geosci. Remote. Sens. Lett., 2022
One Class One Click: Quasi Scene-level Weakly Supervised Point Cloud Semantic Segmentation with Active Learning.
CoRR, 2022
Efficient divide-and-conquer registration of UAV and ground LiDAR point clouds through canopy shape context.
CoRR, 2022
Information fusion approach for biomass estimation in a plateau mountainous forest using a synergistic system comprising UAS-based digital camera and LiDAR.
Comput. Electron. Agric., 2022
Efficient co-registration of UAV and ground LiDAR forest point clouds based on canopy shapes.
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
IEEE Trans. Geosci. Remote. Sens., 2021
Marker-Less UAV-LiDAR Strip Alignment in Plantation Forests Based on Topological Persistence Analysis of Clustered Canopy Cover.
ISPRS Int. J. Geo Inf., 2021
A hybrid convolutional neural network/active contour approach to segmenting dead trees in aerial imagery.
CoRR, 2021
CoRR, 2021
Self-supervised Depth Estimation Leveraging Global Perception and Geometric Smoothness Using On-board Videos.
CoRR, 2021
In the Danger Zone: U-Net Driven Quantile Regression can Predict High-risk SARS-CoV-2 Regions via Pollutant Particulate Matter and Satellite Imagery.
CoRR, 2021
Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors.
CoRR, 2021
Weakly Supervised Pseudo-Label assisted Learning for ALS Point Cloud Semantic Segmentation.
CoRR, 2021
2020
Classification of LiDAR Point Clouds Using Supervoxel-Based Detrended Feature and Perception-Weighted Graphical Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
An Optimized Deep Neural Network Detecting Small and Narrow Rectangular Objects in Google Earth Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
IEEE Geosci. Remote. Sens. Lett., 2020
Automatic Elevator Button Localization Using a Combined Detecting and Tracking Framework for Multi-Story Navigation.
IEEE Access, 2020
U-net for learning and inference of dense representation of multiple air pollutants from satellite imagery.
Proceedings of the CI 2020: 10th International Conference on Climate Informatics, 2020
2019
CoRR, 2019
2018
Unsupervised Segmentation of Point Clouds From Buildings Using Hierarchical Clustering Based on Gestalt Principles.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
A Classification-Lock Tracking Strategy Allowing a Person-Following Robot to Operate in a Complicated Indoor Environment <sup>†</sup>.
Sensors, 2018
Mapping Individual Tree Species and Vitality along Urban Road Corridors with LiDAR and Imaging Sensors: Point Density versus View Perspective.
Remote. Sens., 2018
2017
Discriminative Features Based on Two Layers Sparse Learning for Glacier Area Classification Using SAR Intensity Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017
Selection of LiDAR geometric features with adaptive neighborhood size for urban land cover classification.
Int. J. Appl. Earth Obs. Geoinformation, 2017
2016
Combining Active and Semisupervised Learning of Remote Sensing Data Within a Renyi Entropy Regularization Framework.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016
Automatic and Accurate Conflation of Different Road-Network Vector Data towards Multi-Modal Navigation.
ISPRS Int. J. Geo Inf., 2016
Estimation of regeneration coverage in a temperate forest by 3D segmentation using airborne laser scanning data.
Int. J. Appl. Earth Obs. Geoinformation, 2016
2015
Characterizing Radiometric Attributes of Point Cloud Using a Normalized Reflective Factor Derived From Small Footprint LiDAR Waveform.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
A Comparative Study of Predicting DBH and Stem Volume of Individual Trees in a Temperate Forest Using Airborne Waveform LiDAR.
IEEE Geosci. Remote. Sens. Lett., 2015
Active learning approach to detecting standing dead trees from ALS point clouds combined with aerial infrared imagery.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015
2014
Segmentation of Sloped Roofs from Airborne LiDAR Point Clouds Using Ridge-Based Hierarchical Decomposition.
Remote. Sens., 2014
IEEE Geosci. Remote. Sens. Lett., 2014
Int. J. Digit. Earth, 2014
2013
Detection of 3-D Individual Trees in Urban Areas by Combining Airborne LiDAR Data and Imagery.
IEEE Geosci. Remote. Sens. Lett., 2013
2011
Comparison of Two Methods for Vehicle Extraction From Airborne LiDAR Data Toward Motion Analysis.
IEEE Geosci. Remote. Sens. Lett., 2011
Investigation on the performance of velocity estimation of vehicles from airborne LiDAR data.
Proceedings of the Joint Urban Remote Sensing Event, 2011
Building boundary improvement for true orthophoto generation by fusing airborne LiDAR data.
Proceedings of the Joint Urban Remote Sensing Event, 2011
2010
Mutual Enhancement of Weak Laser Pulses for Point Cloud Enrichment Based on Full-Waveform Analysis.
IEEE Trans. Geosci. Remote. Sens., 2010
Automatic vehicle extraction from airborne LiDAR data of urban areas aided by geodesic morphology.
Pattern Recognit. Lett., 2010
Airborne analysis and assessment of urban traffic scenes from LiDAR data - Theory and experiments.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010