World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
6145
World Ranking
12039
National Ranking
1489

Overview

Shihong Du is affiliated with Peking University in China and contributes to the field of Environmental Science, with a focus on remote sensing and urban studies. Their research spans several subfields including Global and Planetary Change, Media Technology, Transportation, Atmospheric Science, and Environmental Engineering.

The main topics covered in Shihong Du's research include Remote-Sensing Image Classification, Land Use and Ecosystem Services, Remote Sensing and Land Use, Impact of Light on Environment and Health, Urban Transport and Accessibility, Human Mobility and Location-Based Analysis, and Remote Sensing in Agriculture.

Notable recent publications by Shihong Du include:

  • Mapping large-scale and fine-grained urban functional zones from VHR images using a multi-scale semantic segmentation network and object based approach, 2021, Remote Sensing of Environment
  • Incorporating DeepLabv3+ and object-based image analysis for semantic segmentation of very high resolution remote sensing images, 2020, International Journal of Digital Earth
  • Large-scale urban functional zone mapping by integrating remote sensing images and open social data, 2020, GIScience & Remote Sensing

In addition to these, collaborative works include research on spatiotemporal perspectives of COVID-19 in the International Journal of Digital Earth (2020), and studies estimating carbon emissions in urban functional zones in Building and Environment (2022).

Frequent coauthors in Shihong Du's publications are:

  • Xiuyuan Zhang
  • Lubin Bai
  • Shouhang Du
  • Shuping Xiong
  • Bo Liu

Shihong Du's research has been published extensively in venues such as SSRN Electronic Journal, Remote Sensing of Environment, GIScience & Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, and Remote Sensing.

Best Publications

  • Spectral–Spatial Feature Extraction for Hyperspectral Image Classification: A Dimension Reduction and Deep Learning Approach

    Wenzhi Zhao;Shihong Du

  • Learning multiscale and deep representations for classifying remotely sensed imagery

    Wenzhi Zhao;Shihong Du

  • Hierarchical semantic cognition for urban functional zones with VHR satellite images and POI data

    Xiuyuan Zhang;Shihong Du;Qiao Wang

  • The relationships between landscape compositions and land surface temperature: Quantifying their resolution sensitivity with spatial regression models

    Juer Song;Juer Song;Shihong Du;Xin Feng;Luo Guo

  • Object-Based Convolutional Neural Network for High-Resolution Imagery Classification

    Wenzhi Zhao;Shihong Du;William J. Emery

  • A Linear Dirichlet Mixture Model for decomposing scenes: Application to analyzing urban functional zonings

    Xiuyuan Zhang;Shihong Du

  • Multi-Scale Dense Networks for Hyperspectral Remote Sensing Image Classification

    Chunju Zhang;Guandong Li;Shihong Du

  • Semantic classification of urban buildings combining VHR image and GIS data: An improved random forest approach

    Shihong Du;Fangli Zhang;Xiuyuan Zhang

  • Quantifying the multilevel effects of landscape composition and configuration on land surface temperature

    Shihong Du;Ziqian Xiong;Yi-Chen Wang;Luo Guo

  • Mapping large-scale and fine-grained urban functional zones from VHR images using a multi-scale semantic segmentation network and object based approach

    Shouhang Du;Shihong Du;Shihong Du;Bo Liu;Xiuyuan Zhang

  • Incorporating DeepLabv3+ and object-based image analysis for semantic segmentation of very high resolution remote sensing images

    Shouji Du;Shihong Du;Bo Liu;Xiuyuan Zhang

  • Contextually guided very-high-resolution imagery classification with semantic segments

    Wenzhi Zhao;Shihong Du;Qiao Wang;William J. Emery

  • Taking the pulse of COVID-19: a spatiotemporal perspective

    Chaowei Yang;Dexuan Sha;Qian Liu;Yun Li

  • Large-scale urban functional zone mapping by integrating remote sensing images and open social data

    Shouji Du;Shihong Du;Bo Liu;Xiuyuan Zhang

  • Integrating bottom-up classification and top-down feedback for improving urban land-cover and functional-zone mapping

    Xiuyuan Zhang;Shihong Du;Qiao Wang

  • Scene classification using multi-scale deeply described visual words

    Wenzhi Zhao;Shihong Du

  • Mining parameter information for building extraction and change detection with very high-resolution imagery and GIS data

    Zhou Guo;Shihong Du

  • Learning selfhood scales for urban land cover mapping with very-high-resolution satellite images

    Xiuyuan Zhang;Shihong Du

  • Three-dimensional densely connected convolutional network for hyperspectral remote sensing image classification

    Unknown

  • Multiscale Geoscene Segmentation for Extracting Urban Functional Zones from VHR Satellite Images

    Xiuyuan Zhang;Shihong Du;Qiao Wang;Weiqi Zhou

  • Fuzzy description of topological relations I: a unified fuzzy 9-intersection model

    Shihong Du;Qiming Qin;Qiao Wang;Bin Li

  • Extracting building patterns with multilevel graph partition and building grouping

    Shihong Du;Liqun Luo;Kai Cao;Mi Shu

Frequent Co-Authors

William J. Emery
William J. Emery University of Colorado Boulder
Ayman Habib
Ayman Habib Purdue University West Lafayette
Shaowen Wang
Shaowen Wang University of Illinois at Urbana-Champaign

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