World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
5635
World Ranking
10307
National Ranking
1275

Overview

Haiyan Guan is affiliated with Nanjing University of Information Science and Technology in China. Their research primarily intersects the fields of Engineering and Environmental Science, with significant contributions in Environmental Engineering, Media Technology, Computer Vision and Pattern Recognition, Ecology, and Civil and Structural Engineering.

The main topics of Haiyan Guan's work focus on Remote Sensing and LiDAR Applications, Remote-Sensing Image Classification, Remote Sensing in Agriculture, 3D Surveying and Cultural Heritage, Automated Road and Building Extraction, Remote Sensing and Land Use, and 3D Shape Modeling and Analysis.

Haiyan Guan has published extensively in several academic venues, including:

  • International Journal of Applied Earth Observation and Geoinformation (17 publications)
  • Remote Sensing (8 publications)
  • IEEE Transactions on Geoscience and Remote Sensing (7 publications)
  • ISPRS Journal of Photogrammetry and Remote Sensing (6 publications)
  • arXiv (Cornell University) (5 publications)

Recent papers authored or coauthored by Haiyan Guan include:

  • SemiCDNet: A Semisupervised Convolutional Neural Network for Change Detection in High Resolution Remote-Sensing Images, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • Land-cover classification of multispectral LiDAR data using CNN with optimized hyper-parameters, 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • SCDNET: A novel convolutional network for semantic change detection in high resolution optical remote sensing imagery, 2021, International Journal of Applied Earth Observation and Geoinformation
  • Pavement crack detection from CCD images with a locally enhanced transformer network, 2022, International Journal of Applied Earth Observation and Geoinformation
  • DA-CapsUNet: A Dual-Attention Capsule U-Net for Road Extraction from Remote Sensing Imagery, 2020, Remote Sensing

Haiyan Guan has collaborated frequently with several coauthors in their research work. The most frequent coauthors include:

  • Yongtao Yu (33 joint publications)
  • Jonathan Li (28 joint publications)
  • Dilong Li (13 joint publications)
  • Daifeng Peng (12 joint publications)
  • Lingfei Ma (12 joint publications)

Best Publications

  • End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet++

    Daifeng Peng;Yongjun Zhang;Haiyan Guan

  • SemiCDNet: A Semisupervised Convolutional Neural Network for Change Detection in High Resolution Remote-Sensing Images

    Daifeng Peng;Lorenzo Bruzzone;Yongjun Zhang;Haiyan Guan

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

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

  • Use of mobile LiDAR in road information inventory: a review

    Haiyan Guan;Jonathan Li;Shuang Cao;Yongtao Yu

  • Semiautomated Extraction of Street Light Poles From Mobile LiDAR Point-Clouds

    Yongtao Yu;Jonathan Li;Haiyan Guan;Cheng Wang

  • Integration of orthoimagery and lidar data for object-based urban thematic mapping using random forests

    Haiyan Guan;Jonathan Li;Michael Chapman;Fei Deng

  • Deep learning-based tree classification using mobile LiDAR data

    Haiyan Guan;Yongtao Yu;Zheng Ji;Jonathan Li

  • Automated Road Information Extraction From Mobile Laser Scanning Data

    Haiyan Guan;Jonathan Li;Yongtao Yu;Michael Chapman

  • Learning Hierarchical Features for Automated Extraction of Road Markings From 3-D Mobile LiDAR Point Clouds

    Yongtao Yu;Jonathan Li;Haiyan Guan;Fukai Jia

  • Vehicle Detection in High-Resolution Aerial Images via Sparse Representation and Superpixels

    Ziyi Chen;Cheng Wang;Chenglu Wen;Xiuhua Teng

  • Extraction of power-transmission lines from vehicle-borne lidar data

    Haiyan Guan;Yongtao Yu;Jonathan Li;Zheng Ji

  • SCDNET: A novel convolutional network for semantic change detection in high resolution optical remote sensing imagery

    Daifeng Peng;Daifeng Peng;Lorenzo Bruzzone;Yongjun Zhang;Haiyan Guan

  • Iterative Tensor Voting for Pavement Crack Extraction Using Mobile Laser Scanning Data

    Haiyan Guan;Jonathan Li;Yongtao Yu;Michael A. Chapman

  • Bag-of-visual-phrases and hierarchical deep models for traffic sign detection and recognition in mobile laser scanning data

    Yongtao Yu;Jonathan Li;Jonathan Li;Chenglu Wen;Haiyan Guan

  • Automated Extraction of Urban Road Facilities Using Mobile Laser Scanning Data

    Yongtao Yu;Jonathan Li;Haiyan Guan;Cheng Wang

  • Land-cover classification of multispectral LiDAR data using CNN with optimized hyper-parameters

    Suoyan Pan;Haiyan Guan;Yating Chen;Yongtao Yu

  • Using Mobile LiDAR Data for Rapidly Updating Road Markings

    Haiyan Guan;Jonathan Li;Yongtao Yu;Zheng Ji

  • Automated Detection of Urban Road Manhole Covers Using Mobile Laser Scanning Data

    Yongtao Yu;Haiyan Guan;Zheng Ji

  • Multispectral LiDAR Point Cloud Classification Using SE-PointNet++

    Zhuangwei Jing;Haiyan Guan;Peiran Zhao;Dilong Li

  • Self-Attention in Reconstruction Bias U-Net for Semantic Segmentation of Building Rooftops in Optical Remote Sensing Images

    Ziyi Chen;Dilong Li;Wentao Fan;Haiyan Guan

  • DA-CapsUNet: A Dual-Attention Capsule U-Net for Road Extraction from Remote Sensing Imagery

    Yongfeng Ren;Yongtao Yu;Haiyan Guan

  • Robust Traffic-Sign Detection and Classification Using Mobile LiDAR Data With Digital Images

    Haiyan Guan;Wanqian Yan;Yongtao Yu;Liang Zhong

Frequent Co-Authors

Yongtao Yu
Yongtao Yu Huaiyin Institute of Technology
Jonathan Li
Jonathan Li University of Waterloo
Cheng Wang
Cheng Wang Xiamen University
Jun Yu
Jun Yu Hangzhou Dianzi University
Lorenzo Bruzzone
Lorenzo Bruzzone University of Trento
Bisheng Yang
Bisheng Yang Wuhan University
Deren Li
Deren Li Wuhan University

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