World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
6023
World Ranking
10738
National Ranking
1321

Overview

Yuntao Qian is affiliated with Zhejiang University in China and has contributed extensively to the fields of Computer Science and Engineering, with a particular focus on media technology and computer vision. The scientist's research addresses key areas such as remote-sensing image classification, advanced image fusion techniques, and image and signal denoising methods, alongside exploration in domain adaptation, few-shot learning, and video surveillance and tracking methods.

Qian's work features prominently in leading scientific journals and conferences. The frequent publication venues include:

  • IEEE Transactions on Geoscience and Remote Sensing (25 publications)
  • arXiv (Cornell University) (11 publications)
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (7 publications)
  • IEEE Transactions on Image Processing (5 publications)
  • IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (5 publications)

The scientist has collaborated repeatedly with several co-authors in their research endeavors, notably:

  • Fengchao Xiong (36 collaborations)
  • Jun Zhou (27 collaborations)
  • Minchao Ye (18 collaborations)
  • Jianfeng Lu (17 collaborations)
  • Jingzhou Chen (11 collaborations)

Recent published works by Yuntao Qian and colleagues include:

  • "MAC-Net: Model-Aided Nonlocal Neural Network for Hyperspectral Image Denoising," 2021, IEEE Transactions on Geoscience and Remote Sensing
  • "Learning a Deep Ensemble Network With Band Importance for Hyperspectral Object Tracking," 2023, IEEE Transactions on Image Processing
  • "SNMF-Net: Learning a Deep Alternating Neural Network for Hyperspectral Unmixing," 2021, IEEE Transactions on Geoscience and Remote Sensing
  • "SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising," 2022, IEEE Transactions on Image Processing
  • "Spectral Mixture Model Inspired Network Architectures for Hyperspectral Unmixing," 2020, IEEE Transactions on Geoscience and Remote Sensing

The scientist's research topics focus on:

  • Remote-Sensing Image Classification
  • Advanced Image Fusion Techniques
  • Image and Signal Denoising Methods
  • Remote Sensing and Land Use
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Video Surveillance and Tracking Methods

Best Publications

  • Hyperspectral Unmixing via $L_{1/2}$ Sparsity-Constrained Nonnegative Matrix Factorization

    Yuntao Qian;Sen Jia;Jun Zhou;A. Robles-Kelly

  • Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing

    Sen Jia;Yuntao Qian

  • Hyperspectral Image Classification Based on Structured Sparse Logistic Regression and Three-Dimensional Wavelet Texture Features

    Yuntao Qian;Minchao Ye;Jun Zhou

  • Band selection for hyperspectral imagery using affinity propagation (Selected papers from the Digital Image Computing: Techniques and Applications Conference 2008 (DICTA 2008))

    Y. Qian;F. Yao;S. Jia

  • Hyperspectral Imagery Restoration Using Nonlocal Spectral-Spatial Structured Sparse Representation With Noise Estimation

    Yuntao Qian;Minchao Ye

  • Unsupervised Band Selection for Hyperspectral Imagery Classification Without Manual Band Removal

    Sen Jia;Zhen Ji;Yuntao Qian;Linlin Shen

  • Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery

    Yuntao Qian;Fengchao Xiong;Shan Zeng;Jun Zhou

  • Material Based Object Tracking in Hyperspectral Videos

    Fengchao Xiong;Jun Zhou;Yuntao Qian

  • On the Sampling Strategy for Evaluation of Spectral-Spatial Methods in Hyperspectral Image Classification

    Jie Liang;Jun Zhou;Yuntao Qian;Lian Wen

  • Spectral and Spatial Complexity-Based Hyperspectral Unmixing

    Sen Jia;Yuntao Qian

  • Multitask Sparse Nonnegative Matrix Factorization for Joint Spectral–Spatial Hyperspectral Imagery Denoising

    Minchao Ye;Yuntao Qian;Jun Zhou

  • Dictionary Learning-Based Feature-Level Domain Adaptation for Cross-Scene Hyperspectral Image Classification

    Minchao Ye;Yuntao Qian;Jun Zhou;Yuan Yan Tang

  • Hypergraph-Regularized Sparse NMF for Hyperspectral Unmixing

    Wenhong Wang;Yuntao Qian;Yuan Yan Tang

  • Text categorization based on regularization extreme learning machine

    Wenbin Zheng;Wenbin Zheng;Yuntao Qian;Huijuan Lu

  • Hyperspectral Unmixing via Total Variation Regularized Nonnegative Tensor Factorization

    Fengchao Xiong;Yuntao Qian;Jun Zhou;Yuan Yan Tang

  • BAE-Net: A Band Attention Aware Ensemble Network for Hyperspectral Object Tracking

    Zhuanfeng Li;Fengchao Xiong;Jun Zhou;Jing Wang

  • Learning a Deep Ensemble Network With Band Importance for Hyperspectral Object Tracking

    Unknown

  • MAC-Net: Model Aided Nonlocal Neural Network for Hyperspectral Image Denoising

    Fengchao Xiong;Jun Zhou;Qinling Zhao;Jianfeng Lu

  • 3-D nonlocal means filter with noise estimation for hyperspectral imagery denoising

    Yuntao Qian;Yanhao Shen;Minchao Ye;Qi Wang

  • Hyperspectral Restoration via $L_0$ Gradient Regularized Low-Rank Tensor Factorization

    Fengchao Xiong;Jun Zhou;Yuntao Qian

  • Contrast-Reconstruction Representation Learning for Self-Supervised Skeleton-Based Action Recognition

    Unknown

  • SNMF-Net: Learning a Deep Alternating Neural Network for Hyperspectral Unmixing

    Fengchao Xiong;Jun Zhou;Shuyin Tao;Jianfeng Lu

  • Band Selection for Hyperspectral Imagery Using Affinity Propagation

    Sen Jia;Yuntao Qian;Zhen Ji

  • Hyperspectral Unmixing via L 1/2 Sparsity-Constrained Nonnegative

    Yuntao Qian;Sen Jia;Jun Zhou;Antonio Robles-Kelly

Frequent Co-Authors

Jun Zhou
Jun Zhou Griffith University
Sen Jia
Sen Jia Shenzhen University
Yuan Yan Tang
Yuan Yan Tang University of Macau
Cheng-Yuan Xu
Cheng-Yuan Xu Central Queensland University
Linlin Shen
Linlin Shen Shenzhen University
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Robert F. Murphy
Robert F. Murphy Carnegie Mellon University
Zhihong Xu
Zhihong Xu Griffith University
Zexuan Zhu
Zexuan Zhu Shenzhen University
Dit-Yan Yeung
Dit-Yan Yeung Hong Kong University of Science and Technology

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