Yanjun Wang

Orcid: 0000-0002-3317-6518

Affiliations:
  • Hunan University of Science and Technology, National-Local Joint Engineering Laboratory of Geo-Spatial Information Technology, Xiangtan, China
  • University of Hawaii at Mānoa, Department of Geography and Environment, Honolulu, HI, USA


According to our database1, Yanjun Wang authored at least 13 papers between 2017 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
A Weak Sample Optimisation Method for Building Classification in a Semi-Supervised Deep Learning Framework.
Remote. Sens., September, 2023

Joint Classification of Hyperspectral and LiDAR Data Using Binary-Tree Transformer Network.
Remote. Sens., 2023

2022
Monitoring and Analysis of Population Distribution in China from 2000 to 2020 Based on Remote Sensing Data.
Remote. Sens., December, 2022

Construction of a Semantic Segmentation Network for the Overhead Catenary System Point Cloud Based on Multi-Scale Feature Fusion.
Remote. Sens., 2022

Improved Mask R-CNN for Rural Building Roof Type Recognition from UAV High-Resolution Images: A Case Study in Hunan Province, China.
Remote. Sens., 2022

Noise Point Detection From Airborne LiDAR Point Cloud Based on Spatial Hierarchical Directional Relationship.
IEEE Access, 2022

2021
Lightweight Deep Neural Network Method for Water Body Extraction from High-Resolution Remote Sensing Images with Multisensors.
Sensors, 2021

Evaluation and Analysis of Poverty-Stricken Counties under the Framework of the UN Sustainable Development Goals: A Case Study of Hunan Province, China.
Remote. Sens., 2021

Estimation and Analysis of the Nighttime PM2.5 Concentration Based on LJ1-01 Images: A Case Study in the Pearl River Delta Urban Agglomeration of China.
Remote. Sens., 2021

2019
A Survey of Mobile Laser Scanning Applications and Key Techniques over Urban Areas.
Remote. Sens., 2019

A Hierarchical unsupervised method for power line classification from airborne LiDAR data.
Int. J. Digit. Earth, 2019

2018
Systematic Comparison of Power Line Classification Methods from ALS and MLS Point Cloud Data.
Remote. Sens., 2018

2017
Supervised Classification of Power Lines from Airborne LiDAR Data in Urban Areas.
Remote. Sens., 2017


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