Qingwang Liu

According to our database1, Qingwang Liu authored at least 20 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
Learning Robust Discriminant Subspace Based on Joint L₂, ₚ- and L₂, ₛ-Norm Distance Metrics.
IEEE Trans. Neural Networks Learn. Syst., 2022

2021
Comparison of Coniferous Plantation Heights Using Unmanned Aerial Vehicle (UAV) Laser Scanning and Stereo Photogrammetry.
Remote. Sens., 2021

Tree Recognition on the Plantation Using UAV Images with Ultrahigh Spatial Resolution in a Complex Environment.
Remote. Sens., 2021

2020
Improving Estimation of Forest Canopy Cover by Introducing Loss Ratio of Laser Pulses Using Airborne LiDAR.
IEEE Trans. Geosci. Remote. Sens., 2020

Prediction of Individual Tree Diameter and Height to Crown Base Using Nonlinear Simultaneous Regression and Airborne LiDAR Data.
Remote. Sens., 2020

Analysis of the Spatial Differences in Canopy Height Models from UAV LiDAR and Photogrammetry.
Remote. Sens., 2020

Prediction of Individual Tree Diameter Using a Nonlinear Mixed-Effects Modeling Approach and Airborne LiDAR Data.
Remote. Sens., 2020

Dominant Trees Analysis Using UAV LiDAR and Photogrammetry.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Airborne LIDAR-Derived Aboveground Biomass Estimates Using a Hierarchical Bayesian Approach.
Remote. Sens., 2019

Forest Stand Height Estimation Using Ziyuan-3 Tri-Stereo Imagery and Lidar.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Development of a System of Compatible Individual Tree Diameter and Aboveground Biomass Prediction Models Using Error-In-Variable Regression and Airborne LiDAR Data.
Remote. Sens., 2018

2017
Forest canopy cover analysis using UAS lidar.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Building height extraction from overlapping airborne images in urban environment using computer vision approach.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Forest canopy height estimation at footprint scale based on airborne lidar metric in the heterogeneous landscape.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Forest height estimation based on uav lidar simulated waveform.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Modeling of forest above-ground biomass dynamics using multi-source data and incorporated models: A case study over the Qilian mountains.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
LiCHy: The CAF's LiDAR, CCD and Hyperspectral Integrated Airborne Observation System.
Remote. Sens., 2016

Mapping Forest Health Using Spectral and Textural Information Extracted from SPOT-5 Satellite Images.
Remote. Sens., 2016

Estimation of Forest Structural Diversity Using the Spectral and Textural Information Derived from SPOT-5 Satellite Images.
Remote. Sens., 2016

China typical forest aboveground biomass estimation by fusion of multi-platform data.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016


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