World's Best Scientists 2026 revealed!

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Computer Science

D-Index
96
Citations
38044
World Ranking
435
National Ranking
240

Research.com Recognitions

  • 2015 - SPIE Fellow

Overview

Qian Du is affiliated with Mississippi State University in the United States. Their research spans broadly across engineering and computer science fields, with a focus on media technology, computer vision and pattern recognition, atmospheric science, artificial intelligence, and aerospace engineering.

The primary areas of study include remote-sensing image classification, advanced image fusion techniques, remote sensing and land use, image and signal denoising methods, domain adaptation and few-shot learning, advanced image and video retrieval techniques, and advanced chemical sensor technologies.

The scientist has published extensively in several venues, particularly in:

  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • arXiv (Cornell University)
  • IEEE Geoscience and Remote Sensing Letters
  • IEEE Transactions on Neural Networks and Learning Systems

Frequent coauthors collaborating with Qian Du include:

  • Yunsong Li
  • Wei Li
  • Junyu Dong
  • Heng-Chao Li
  • Jiaojiao Li

Notable recent papers authored or coauthored by Qian Du include:

  • More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • Deep Learning for Unmanned Aerial Vehicle-Based Object Detection and Tracking: A survey, 2021, IEEE Geoscience and Remote Sensing Magazine
  • Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image Classification, 2022, IEEE Transactions on Neural Networks and Learning Systems
  • Spectral-Spatial Morphological Attention Transformer for Hyperspectral Image Classification, 2023, IEEE Transactions on Geoscience and Remote Sensing
  • Deep Cross-Domain Few-Shot Learning for Hyperspectral Image Classification, 2021, IEEE Transactions on Geoscience and Remote Sensing

Qian Du has been recognized as a SPIE Fellow since 2015, reflecting a level of professional distinction within the scientific community.

Best Publications

  • Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

    J. M. Bioucas-Dias;A. Plaza;N. Dobigeon;M. Parente

  • Estimation of number of spectrally distinct signal sources in hyperspectral imagery

    Chein-I Chang;Qian Du

  • More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification

    Danfeng Hong;Lianru Gao;Naoto Yokoya;Jing Yao

  • Hyperspectral Image Classification Using Deep Pixel-Pair Features

    Wei Li;Guodong Wu;Fan Zhang;Qian Du

  • A joint band prioritization and band-decorrelation approach to band selection for hyperspectral image classification

    Chein-I Chang;Qian Du;Tzu-Lung Sun;M.L.G. Althouse

  • Local Binary Patterns and Extreme Learning Machine for Hyperspectral Imagery Classification

    Wei Li;Chen Chen;Hongjun Su;Qian Du

  • Collaborative Representation for Hyperspectral Anomaly Detection

    Wei Li;Qian Du

  • An improved box-counting method for image fractal dimension estimation

    Jian Li;Qian Du;Caixin Sun

  • Multisource Remote Sensing Data Classification Based on Convolutional Neural Network

    Xiaodong Xu;Wei Li;Qiong Ran;Qian Du

  • Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest

    Christian Debes;Andreas Merentitis;Roel Heremans;Jürgen T. Hahn

  • Diverse Region-Based CNN for Hyperspectral Image Classification

    Mengmeng Zhang;Wei Li;Qian Du

  • Hyperspectral Image Compression Using JPEG2000 and Principal Component Analysis

    Qian Du;J.E. Fowler

  • GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection.

    Qi Wang;Zhenghang Yuan;Qian Du;Xuelong Li

  • GETNET: A General End-to-End 2-D CNN Framework for Hyperspectral Image Change Detection

    Qi Wang;Zhenghang Yuan;Qian Du;Xuelong Li

  • Similarity-Based Unsupervised Band Selection for Hyperspectral Image Analysis

    Qian Du;He Yang

  • Hyperspectral Band Selection: A Review

    Weiwei Sun;Qian Du

  • Transferred Deep Learning for Anomaly Detection in Hyperspectral Imagery

    Wei Li;Guodong Wu;Qian Du

  • Hyperspectral Image Spatial Super-Resolution via 3D Full Convolutional Neural Network

    Shaohui Mei;Xin Yuan;Jingyu Ji;Yifan Zhang

  • Learning Sensor-Specific Spatial-Spectral Features of Hyperspectral Images via Convolutional Neural Networks

    Shaohui Mei;Jingyu Ji;Junhui Hou;Xu Li

  • An Efficient Method for Supervised Hyperspectral Band Selection

    He Yang;Qian Du;Hongjun Su;Yehua Sheng

  • Unsupervised Spatial–Spectral Feature Learning by 3D Convolutional Autoencoder for Hyperspectral Classification

    Shaohui Mei;Jingyu Ji;Yunhao Geng;Zhi Zhang

Frequent Co-Authors

Wei Li
Wei Li Beijing Institute of Technology
James E. Fowler
James E. Fowler Mississippi State University
Peijun Du
Peijun Du Nanjing University
Heng-Chao Li
Heng-Chao Li Southwest Jiaotong University
Chein-I Chang
Chein-I Chang University of Maryland, Baltimore County
Junhui Hou
Junhui Hou City University of Hong Kong
Lianru Gao
Lianru Gao Aerospace Information Research Institute
Ran Tao
Ran Tao Beijing Institute of Technology
Antonio Plaza
Antonio Plaza University of Extremadura
Xiaohua Tong
Xiaohua Tong Tongji University

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