World's Best Scientists 2026 revealed!
Bisheng Yang

Bisheng Yang

D-Index & Metrics

Computer Science

D-Index
53
Citations
8775
World Ranking
4913
National Ranking
661

Overview

Bisheng Yang is affiliated with Wuhan University in China and has a diverse research portfolio spanning several interconnected fields. Their work focuses primarily on engineering, environmental science, and earth and planetary sciences, with significant contributions in various specialized subfields such as environmental engineering, geology, computer vision and pattern recognition, aerospace engineering, and computational mechanics.

The research topics covered by Bisheng Yang include:

  • Remote Sensing and LiDAR Applications
  • 3D Surveying and Cultural Heritage
  • Robotics and Sensor-Based Localization
  • 3D Shape Modeling and Analysis
  • Advanced Vision and Imaging
  • Advanced Neural Network Applications
  • Automated Road and Building Extraction

Bisheng Yang has published extensively in various respected venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • International Journal of Applied Earth Observation and Geoinformation
  • The international archives of the photogrammetry, remote sensing and spatial information sciences
  • IEEE Transactions on Geoscience and Remote Sensing

Their research outputs include papers on topics related to point cloud registration, satellite-derived bathymetry, semantic segmentation of MLS point clouds, and deep learning refinement for photovoltaic area segmentation. Notable recent publications are:

  • Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark, 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery datasets, 2020, Remote Sensing of Environment
  • RoReg: Pairwise Point Cloud Registration With Oriented Descriptors and Local Rotations, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • A point-based deep learning network for semantic segmentation of MLS point clouds, 2021, ISPRS Journal of Photogrammetry and Remote Sensing
  • Deep solar PV refiner: A detail-oriented deep learning network for refined segmentation of photovoltaic areas from satellite imagery, 2022, International Journal of Applied Earth Observation and Geoinformation

Bisheng Yang collaborates regularly with several researchers, frequently coauthoring with:

  • Zhen Dong
  • Fuxun Liang
  • Jianping Li
  • Weitong Wu
  • Shangzhe Sun

Best Publications

  • International benchmarking of terrestrial laser scanning approaches for forest inventories

    Xinlian Liang;Juha Hyyppä;Harri Kaartinen;Harri Kaartinen;Matti Lehtomäki

  • Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark

    Zhen Dong;Fuxun Liang;Bisheng Yang;Yusheng Xu

  • Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery datasets

    Yue Ma;Yue Ma;Yue Ma;Nan Xu;Zhen Liu;Bisheng Yang

  • Using mobile laser scanning data for automated extraction of road markings

    Haiyan Guan;Jonathan Li;Jonathan Li;Yongtao Yu;Cheng Wang

  • Semi-automated extraction and delineation of 3D roads of street scene from mobile laser scanning point clouds

    Bisheng Yang;Lina Fang;Jonathan Li

  • A shape-based segmentation method for mobile laser scanning point clouds

    Bisheng Yang;Zhen Dong

  • The design and implementation of SPIRIT: a spatially aware search engine for information retrieval on the Internet

    Ross S. Purves;Paul Clough;Christopher B. Jones;Avi Arampatzis

  • Hierarchical extraction of urban objects from mobile laser scanning data

    Bisheng Yang;Zhen Dong;Gang Zhao;Wenxia Dai

  • Automated Extraction of Road Markings from Mobile Lidar Point Clouds

    Bisheng Yang;Lina Fang;Qingquan Li;Jonathan Li

  • An efficient global energy optimization approach for robust 3D plane segmentation of point clouds

    Zhen Dong;Zhen Dong;Bisheng Yang;Pingbo Hu;Sebastian Scherer

  • Automatic registration of large-scale urban scene point clouds based on semantic feature points

    Bisheng Yang;Zhen Dong;Fuxun Liang;Yuan Liu

  • Automatic registration of UAV-borne sequent images and LiDAR data

    Bisheng Yang;Chi Chen

  • A novel binary shape context for 3D local surface description

    Zhen Dong;Zhen Dong;Bisheng Yang;Yuan Liu;Fuxun Liang

  • Automated registration of dense terrestrial laser-scanning point clouds using curves

    Bisheng Yang;Yufu Zang

  • Hierarchical registration of unordered TLS point clouds based on binary shape context descriptor

    Zhen Dong;Bisheng Yang;Fuxun Liang;Ronggang Huang

  • A new method for 3D individual tree extraction using multispectral airborne LiDAR point clouds

    Wenxia Dai;Bisheng Yang;Zhen Dong;Ahmed Shaker

  • Efficient transmission of vector data over the Internet

    Bisheng Yang;Ross Purves;Robert Weibel

  • Land surface temperature relation with normalized satellite indices for the estimation of spatio-temporal trends in temperature among various land use land cover classes of an arid Potohar region using Landsat data

    Aqil Tariq;Iqra Riaz;Iqra Riaz;Zulfiqar Ahmad;Bisheng Yang

  • RoReg: Pairwise Point Cloud Registration With Oriented Descriptors and Local Rotations

    Unknown

  • Automated extraction of street-scene objects from mobile lidar point clouds

    Bisheng Yang;Zheng Wei;Qingquan Li;Jonathan Li

  • A Multi-parameter Approach to Automated Building Grouping and Generalization

    Haowen Yan;Robert Weibel;Bisheng Yang

  • Two-step adaptive extraction method for ground points and breaklines from lidar point clouds

    Bisheng Yang;Ronggang Huang;Zhen Dong;Yufu Zang

Frequent Co-Authors

Qingquan Li
Qingquan Li Shenzhen University
Jonathan Li
Jonathan Li University of Waterloo
Wenzhong Shi
Wenzhong Shi Hong Kong Polytechnic University
Xinlian Liang
Xinlian Liang Finnish Geospatial Research Institute
Robert Weibel
Robert Weibel University of Zurich
Mikko Vastaranta
Mikko Vastaranta University of Eastern Finland
Harri Kaartinen
Harri Kaartinen University of Turku
Wenping Wang
Wenping Wang Texas A&M University
Ross S. Purves
Ross S. Purves University of Zurich
Xiaowei Yu
Xiaowei Yu Finnish Geospatial Research Institute

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