World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
58
Citations
11350
World Ranking
3682
National Ranking
491

Overview

Peijun Du is affiliated with Nanjing Normal University in China and conducts research primarily in the fields of Environmental Science and Engineering. Their work spans multiple subfields including Media Technology, Atmospheric Science, Global and Planetary Change, Environmental Engineering, and Ecology.

Their research topics cover a range of applications within remote sensing and environmental studies, notably:

  • Remote-Sensing Image Classification
  • Remote Sensing and Land Use
  • Land Use and Ecosystem Services
  • Remote Sensing in Agriculture
  • Urban Heat Island Mitigation
  • Urban Green Space and Health
  • Remote Sensing and LiDAR Applications

Peijun Du has a publication record that includes research in several well-regarded venues. Frequent publication venues are:

  • IEEE Transactions on Geoscience and Remote Sensing
  • International Journal of Applied Earth Observation and Geoinformation
  • SSRN Electronic Journal
  • IEEE Geoscience and Remote Sensing Letters
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Recent papers authored or coauthored by Peijun Du include:

  • "A global record of annual terrestrial Human Footprint dataset from 2000 to 2018" (2022), published in Scientific Data
  • "Estimating the distribution trend of soil heavy metals in mining area from HyMap airborne hyperspectral imagery based on ensemble learning" (2020), published in Journal of Hazardous Materials
  • "Advances of Four Machine Learning Methods for Spatial Data Handling: a Review" (2020), published in Journal of Geovisualization and Spatial Analysis
  • "Ensemble Learning for Hyperspectral Image Classification Using Tangent Collaborative Representation" (2020), published in IEEE Transactions on Geoscience and Remote Sensing
  • "S3Net: Spectral-Spatial Siamese Network for Few-Shot Hyperspectral Image Classification" (2022), published in IEEE Transactions on Geoscience and Remote Sensing

The scientist regularly collaborates with several frequent coauthors. These include:

  • Shanchuan Guo
  • Hong Fang
  • Zilong Xia
  • Xin Wang
  • Pengfei Tang

Best Publications

  • A review of supervised object-based land-cover image classification

    Lei Ma;Manchun Li;Xiaoxue Ma;Xiaoxue Ma;Liang Cheng

  • Random Forest and Rotation Forest for fully polarized SAR image classification using polarimetric and spatial features

    Peijun Du;Alim Samat;Björn Waske;Sicong Liu

  • Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging

    Jaime Zabalza;Jinchang Ren;Jiangbin Zheng;Huimin Zhao

  • Multiple Classifier System for Remote Sensing Image Classification: A Review

    Peijun Du;Junshi Xia;Wei Zhang;Kun Tan

  • Integrating Multilayer Features of Convolutional Neural Networks for Remote Sensing Scene Classification

    Erzhu Li;Junshi Xia;Peijun Du;Cong Lin

  • ${{ m E}^{2}}{ m LMs}$ : Ensemble Extreme Learning Machines for Hyperspectral Image Classification

    Alim Samat;Peijun Du;Sicong Liu;Jun Li

  • Hyperspectral Remote Sensing Image Classification Based on Rotation Forest

    Junshi Xia;Peijun Du;Xiyan He;Jocelyn Chanussot

  • Information fusion techniques for change detection from multi-temporal remote sensing images

    Peijun Du;Sicong Liu;Junshi Xia;Yindi Zhao

  • Estimation of the spatial distribution of heavy metal in agricultural soils using airborne hyperspectral imaging and random forest.

    Kun Tan;Kun Tan;Huimin Wang;Lihan Chen;Qian Du

  • Estimating the distribution trend of soil heavy metals in mining area from HyMap airborne hyperspectral imagery based on ensemble learning

    Kun Tan;Kun Tan;Weibo Ma;Lihan Chen;Huimin Wang

  • Sequential Spectral Change Vector Analysis for Iteratively Discovering and Detecting Multiple Changes in Hyperspectral Images

    Sicong Liu;Lorenzo Bruzzone;Francesca Bovolo;Massimo Zanetti

  • Fusion of Difference Images for Change Detection Over Urban Areas

    Peijun Du;Sicong Liu;P. Gamba;Kun Tan

  • Optimized Hyperspectral Band Selection Using Particle Swarm Optimization

    Hongjun Su;Qian Du;Genshe Chen;Peijun Du

  • Spatiotemporal Pattern of PM 2.5 Concentrations in Mainland China and Analysis of Its Influencing Factors using Geographically Weighted Regression

    Jieqiong Luo;Peijun Du;Alim Samat;Junshi Xia

  • Advances of Four Machine Learning Methods for Spatial Data Handling: a Review

    Peijun Du;Peijun Du;Xuyu Bai;Xuyu Bai;Kun Tan;Zhaohui Xue

  • Hierarchical Unsupervised Change Detection in Multitemporal Hyperspectral Images

    Sicong Liu;Lorenzo Bruzzone;Francesca Bovolo;Peijun Du

  • Random Subspace Ensembles for Hyperspectral Image Classification With Extended Morphological Attribute Profiles

    Junshi Xia;Mauro Dalla Mura;Jocelyn Chanussot;Peijun Du

  • Spectral–Spatial Classification for Hyperspectral Data Using Rotation Forests With Local Feature Extraction and Markov Random Fields

    Junshi Xia;Jocelyn Chanussot;Peijun Du;Xiyan He

  • Hyperspectral Image Classification With Rotation Random Forest Via KPCA

    Junshi Xia;Nicola Falco;Jon Atli Benediktsson;Peijun Du

  • Caps-TripleGAN: GAN-Assisted CapsNet for Hyperspectral Image Classification

    Xue Wang;Kun Tan;Qian Du;Yu Chen

Frequent Co-Authors

Qian Du
Qian Du Mississippi State University
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Paolo Gamba
Paolo Gamba University of Pavia
Lorenzo Bruzzone
Lorenzo Bruzzone University of Trento
Francesca Bovolo
Francesca Bovolo Fondazione Bruno Kessler
Yifang Ban
Yifang Ban Royal Institute of Technology
Antonio Plaza
Antonio Plaza University of Extremadura
Jinchang Ren
Jinchang Ren Robert Gordon University
Jon Atli Benediktsson
Jon Atli Benediktsson University of Iceland
Peng Gong
Peng Gong University of Hong Kong

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