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Huanfeng Shen

Huanfeng Shen

D-Index & Metrics

Computer Science

D-Index
76
Citations
21874
World Ranking
1348
National Ranking
179

Overview

Huanfeng Shen is affiliated with Wuhan University in China and has a significant body of work in the fields of Environmental Science, Engineering, and Computer Science. Their research spans several subfields including Media Technology, Atmospheric Science, Computer Vision and Pattern Recognition, Environmental Engineering, and Global and Planetary Change.

The scientist's research primarily focuses on advanced topics in remote sensing and environmental applications. Key areas of study include:

  • Advanced Image Fusion Techniques
  • Remote Sensing in Agriculture
  • Remote-Sensing Image Classification
  • Remote Sensing and Land Use
  • Urban Heat Island Mitigation
  • Image and Signal Denoising Methods
  • Advanced Image Processing Techniques

Huanfeng Shen frequently publishes in a range of respected journals, often contributing to venues such as:

  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Zenodo (CERN European Organization for Nuclear Research)
  • International Journal of Applied Earth Observation and Geoinformation
  • arXiv (Cornell University)

Several recent papers illustrate the scope and impact of their research, including:

  • Deep learning-based air temperature mapping by fusing remote sensing, station, simulation and socioeconomic data, 2020, Remote Sensing of Environment
  • Deep learning in environmental remote sensing: Achievements and challenges, 2020, Remote Sensing of Environment
  • Thick cloud and cloud shadow removal in multitemporal imagery using progressively spatio-temporal patch group deep learning, 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • Big Data in Earth system science and progress towards a digital twin, 2023, Nature Reviews Earth & Environment
  • Quantifying 3D building form effects on urban land surface temperature and modeling seasonal correlation patterns, 2021, Building and Environment

Collaboration is a significant part of their work, with frequent coauthors including:

  • Qiangqiang Yuan
  • Liangpei Zhang
  • Xinghua Li
  • Huifang Li
  • Xiaobin Guan

Best Publications

  • Deep learning in environmental remote sensing: Achievements and challenges

    Qiangqiang Yuan;Huanfeng Shen;Tongwen Li;Zhiwei Li

  • Hyperspectral Image Restoration Using Low-Rank Matrix Recovery

    Hongyan Zhang;Wei He;Liangpei Zhang;Huanfeng Shen

  • Land-cover classification with high-resolution remote sensing images using transferable deep models

    Xin-Yi Tong;Gui-Song Xia;Qikai Lu;Huanfeng Shen

  • Total-Variation-Regularized Low-Rank Matrix Factorization for Hyperspectral Image Restoration

    Wei He;Hongyan Zhang;Liangpei Zhang;Huanfeng Shen

  • Hyperspectral Image Denoising Employing a Spectral–Spatial Adaptive Total Variation Model

    Qiangqiang Yuan;Liangpei Zhang;Huanfeng Shen

  • Image super-resolution

    Linwei Yue;Huanfeng Shen;Jie Li;Qiangqiang Yuan

  • A Multiscale and Multidepth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening

    Qiangqiang Yuan;Yancong Wei;Xiangchao Meng;Huanfeng Shen

  • Estimating Ground-Level PM2.5 by Fusing Satellite and Station Observations: A Geo-Intelligent Deep Learning Approach

    Tongwen Li;Huanfeng Shen;Qiangqiang Yuan;Xuechen Zhang

  • Missing Information Reconstruction of Remote Sensing Data: A Technical Review

    Huanfeng Shen;Xinghua Li;Qing Cheng;Chao Zeng

  • Boosting the Accuracy of Multispectral Image Pansharpening by Learning a Deep Residual Network

    Yancong Wei;Qiangqiang Yuan;Huanfeng Shen;Liangpei Zhang

  • Long-term and fine-scale satellite monitoring of the urban heat island effect by the fusion of multi-temporal and multi-sensor remote sensed data: A 26-year case study of the city of Wuhan in China

    Huanfeng Shen;Liwen Huang;Liangpei Zhang;Penghai Wu

  • A super-resolution reconstruction algorithm for surveillance images

    Liangpei Zhang;Hongyan Zhang;Huanfeng Shen;Pingxiang Li

  • A MAP Approach for Joint Motion Estimation, Segmentation, and Super Resolution

    Huanfeng Shen;Liangpei Zhang;Bo Huang;Pingxiang Li

  • Recovering missing pixels for Landsat ETM + SLC-off imagery using multi-temporal regression analysis and a regularization method

    Chao Zeng;Huanfeng Shen;Liangpei Zhang

  • An Integrated Framework for the Spatio–Temporal–Spectral Fusion of Remote Sensing Images

    Huanfeng Shen;Xiangchao Meng;Liangpei Zhang

  • A MAP-Based Algorithm for Destriping and Inpainting of Remotely Sensed Images

    Huanfeng Shen;Liangpei Zhang

  • Review of the pansharpening methods for remote sensing images based on the idea of meta-analysis: Practical discussion and challenges

    Xiangchao Meng;Huanfeng Shen;Huifang Li;Liangpei Zhang

  • Deep learning based cloud detection for medium and high resolution remote sensing images of different sensors

    Zhiwei Li;Huanfeng Shen;Qing Cheng;Yuhao Liu

  • Recovering Quantitative Remote Sensing Products Contaminated by Thick Clouds and Shadows Using Multitemporal Dictionary Learning

    Xinghua Li;Huanfeng Shen;Liangpei Zhang;Hongyan Zhang

  • Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network.

    Qiangqiang Yuan;Qiang Zhang;Jie Li;Huanfeng Shen

  • Multi-feature combined cloud and cloud shadow detection in GaoFen-1 wide field of view imagery

    Zhiwei Li;Huanfeng Shen;Huifang Li;Guisong Xia

  • Hyperspectral Image Denoising via Noise-Adjusted Iterative Low-Rank Matrix Approximation

    Wei He;Hongyan Zhang;Liangpei Zhang;Huanfeng Shen

  • A Total Variation Regularization Based Super-Resolution Reconstruction Algorithm for Digital Video

    Michael K. Ng;Huanfeng Shen;Huanfeng Shen;Edmund Y. Lam;Liangpei Zhang

  • Integrated fusion of multi-scale polar-orbiting and geostationary satellite observations for the mapping of high spatial and temporal resolution land surface temperature

    Penghai Wu;Huanfeng Shen;Liangpei Zhang;Frank-Michael Göttsche

Frequent Co-Authors

Liangpei Zhang
Liangpei Zhang Wuhan University
Qiangqiang Yuan
Qiangqiang Yuan Wuhan University
Hongyan Zhang
Hongyan Zhang China University of Geosciences
Zhiwei Li
Zhiwei Li Central South University
Pingxiang Li
Pingxiang Li Wuhan University
Gui-Song Xia
Gui-Song Xia Wuhan University
Wei Gong
Wei Gong Wuhan University
Michael K. Ng
Michael K. Ng Hong Kong Baptist University
Paolo Gamba
Paolo Gamba University of Pavia
Lunche Wang
Lunche Wang China University of Geosciences

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