World's Best Scientists 2026 revealed!
Yanfei Zhong

Yanfei Zhong

D-Index & Metrics

Computer Science

D-Index
75
Citations
17725
World Ranking
1435
National Ranking
194

Overview

Yanfei Zhong is affiliated with Wuhan University in China, contributing extensively to research in engineering, computer science, and environmental science. Their work primarily focuses on media technology, computer vision and pattern recognition, atmospheric science, ecology, and artificial intelligence.

Their research spans several key topics, including:

  • Remote-Sensing Image Classification
  • Remote Sensing and Land Use
  • Remote Sensing in Agriculture
  • Advanced Image Fusion Techniques
  • Advanced Image and Video Retrieval Techniques
  • Automated Road and Building Extraction
  • Remote Sensing and LiDAR Applications

Yanfei Zhong has published in a range of high-impact venues. The most frequent publication outlets include:

  • IEEE Transactions on Geoscience and Remote Sensing
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • arXiv (Cornell University)
  • Remote Sensing of Environment
  • International Journal of Applied Earth Observation and Geoinformation

Among notable recent papers credited to Yanfei Zhong is the 2020 publication "WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets and classifier for precise crop identification based on deep convolutional neural network with CRF" in Remote Sensing of Environment. This work is documented with substantial citations.

Yanfei Zhong frequently collaborates with several researchers, including:

  • Liangpei Zhang
  • Ailong Ma
  • Xinyu Wang
  • Zhuo Zheng
  • Junjue Wang

Frequent co-author Zhuo Zheng has independently published works relevant to the field, such as the 2021 paper "Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: From natural disasters to man-made disasters" in Remote Sensing of Environment. Other notable contributions by associated researchers include work on land-use change detection and road extraction from very high-resolution satellite imagery.

Yanfei Zhong's research intersects domains that leverage advanced computational methods and remote sensing technologies for applications in agriculture, environmental monitoring, and urban infrastructure assessment. Their profile demonstrates an integration of engineering and computer science approaches to address spatial and spectral data interpretation challenges posed by remote sensing imagery.

Best Publications

  • AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification

    Gui-Song Xia;Jingwen Hu;Fan Hu;Baoguang Shi

  • AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification

    Gui-Song Xia;Jingwen Hu;Fan Hu;Baoguang Shi

  • WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets and classifier for precise crop identification based on deep convolutional neural network with CRF

    Yanfei Zhong;Xin Hu;Chang Luo;Xinyu Wang

  • Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: From natural disasters to man-made disasters

    Zhuo Zheng;Yanfei Zhong;Junjue Wang;Ailong Ma

  • Bag-of-Visual-Words Scene Classifier With Local and Global Features for High Spatial Resolution Remote Sensing Imagery

    Qiqi Zhu;Yanfei Zhong;Bei Zhao;Gui-Song Xia

  • Land-Use/Land-Cover change detection based on a Siamese global learning framework for high spatial resolution remote sensing imagery

    Unknown

  • Pre-Trained AlexNet Architecture with Pyramid Pooling and Supervision for High Spatial Resolution Remote Sensing Image Scene Classification

    Xiaobing Han;Yanfei Zhong;Liqin Cao;Liangpei Zhang

  • Dirichlet-Derived Multiple Topic Scene Classification Model for High Spatial Resolution Remote Sensing Imagery

    Bei Zhao;Yanfei Zhong;Gui-Song Xia;Liangpei Zhang

  • Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery

    Zhuo Zheng;Yanfei Zhong;Junjue Wang;Ailong Ma

  • Mini-UAV-Borne Hyperspectral Remote Sensing: From Observation and Processing to Applications

    Yanfei Zhong;Xinyu Wang;Yao Xu;Shaoyu Wang

  • A Global Context-aware and Batch-independent Network for road extraction from VHR satellite imagery

    Qiqi Zhu;Yanan Zhang;Lizeng Wang;Yanfei Zhong

  • Scene Classification Based on the Multifeature Fusion Probabilistic Topic Model for High Spatial Resolution Remote Sensing Imagery

    Yanfei Zhong;Qiqi Zhu;Liangpei Zhang

  • Spatial Group Sparsity Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing

    Xinyu Wang;Yanfei Zhong;Liangpei Zhang;Yanyan Xu

  • An Adaptive Artificial Immune Network for Supervised Classification of Multi-/Hyperspectral Remote Sensing Imagery

    Yanfei Zhong;Liangpei Zhang

  • Auto-AD: Autonomous Hyperspectral Anomaly Detection Network Based on Fully Convolutional Autoencoder

    Shaoyu Wang;Xinyu Wang;Liangpei Zhang;Yanfei Zhong

  • An unsupervised artificial immune classifier for multi/hyperspectral remote sensing imagery

    Yanfei Zhong;Liangpei Zhang;Bo Huang;Pingxiang Li

  • ChangeMask: Deep multi-task encoder-transformer-decoder architecture for semantic change detection

    Zhuo Zheng;Yanfei Zhong;Shiqi Tian;Ailong Ma

  • Dimensionality Reduction Based on Clonal Selection for Hyperspectral Imagery

    Liangpei Zhang;Yanfei Zhong;Bo Huang;Jianya Gong

  • SCViT: A Spatial-Channel Feature Preserving Vision Transformer for Remote Sensing Image Scene Classification

    Unknown

  • A new sub-pixel mapping algorithm based on a BP neural network with an observation model

    Liangpei Zhang;Ke Wu;Yanfei Zhong;Pingxiang Li

  • LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

    Junjue Wang;Zhuo Zheng;Ailong Ma;Xiaoyan Lu

  • Computational intelligence in optical remote sensing image processing

    Yanfei Zhong;Ailong Ma;Yew soon Ong;Zexuan Zhu

  • An Efficient and Robust Integrated Geospatial Object Detection Framework for High Spatial Resolution Remote Sensing Imagery

    Xiaobing Han;Yanfei Zhong;Liangpei Zhang

  • FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification

    Zhuo Zheng;Yanfei Zhong;Ailong Ma;Liangpei Zhang

Frequent Co-Authors

Liangpei Zhang
Liangpei Zhang Wuhan University
Gui-Song Xia
Gui-Song Xia Wuhan University
Lizhe Wang
Lizhe Wang China University of Geosciences
Xiaohua Tong
Xiaohua Tong Tongji University
Deren Li
Deren Li Wuhan University
Antonio Plaza
Antonio Plaza University of Extremadura
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Huanfeng Shen
Huanfeng Shen Wuhan University
Hongyan Zhang
Hongyan Zhang China University of Geosciences
Petri Pellikka
Petri Pellikka University of Helsinki

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees in Computer Science opens up highly flexible learning opportunities, whether you're starting your academic journey or looking to accelerate your career. Many students consider enrolling in one of the most affordable online colleges to reduce student loan debt while still gaining a quality education.

If your academic record isn't perfect, there are still great options available. The best colleges for low gpa applicants can help pave the way for higher education, offering flexible admission requirements and support for students with diverse backgrounds.

For those interested in broader scientific impact, you may also want to explore what you can do with an environmental science degree. This field combines technology and environmental awareness, preparing graduates for fast-growing green careers.

Students aiming to fast-track their tech careers might consider enrolling in one of the accelerated computer science degree programs. These intensive online options can help you graduate sooner and enter the workforce quickly with up-to-date, in-demand skills.

Best Scientists Citing Yanfei Zhong

Trending Scientists