World's Best Scientists 2026 revealed!
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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
73
Citations
18368
World Ranking
1615
National Ranking
46

Research.com Recognitions

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award
  • 2021 - IEEE Fellow For contributions to feature mining and classification of hyperspectral images

Overview

Xiuping Jia is affiliated with the University of New South Wales in Australia and has a significant research presence in the fields of Engineering and Computer Science. Their research contributions span various subfields including Media Technology, Computer Vision and Pattern Recognition, Atmospheric Science, Artificial Intelligence, and Ecology.

The scientist's work primarily focuses on topics such as Remote-Sensing Image Classification, Advanced Image Fusion Techniques, Remote Sensing and Land Use, Advanced Image and Video Retrieval Techniques, Advanced Neural Network Applications, Image and Signal Denoising Methods, and Remote Sensing in Agriculture.

Jia has published numerous papers across multiple prestigious venues. Frequent publication locations include:

  • IEEE Transactions on Geoscience and Remote Sensing
  • arXiv (Cornell University)
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • IEEE Transactions on Image Processing
  • Remote Sensing

Among recent publications, several papers illustrate their focus on remote sensing and image processing:

  • "SpectralGPT: Spectral Remote Sensing Foundation Model," 2024, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "An attention-fused network for semantic segmentation of very-high-resolution remote sensing imagery," 2021, ISPRS Journal of Photogrammetry and Remote Sensing
  • "X-Shaped Interactive Autoencoders With Cross-Modality Mutual Learning for Unsupervised Hyperspectral Image Super-Resolution," 2023, IEEE Transactions on Geoscience and Remote Sensing
  • "Enhanced Autoencoders With Attention-Embedded Degradation Learning for Unsupervised Hyperspectral Image Super-Resolution," 2023, IEEE Transactions on Geoscience and Remote Sensing
  • "Hyperspectral Image Classification With Multi-Attention Transformer and Adaptive Superpixel Segmentation-Based Active Learning," 2023, IEEE Transactions on Image Processing

Jia has collaborated extensively with several coauthors, including:

  • Aizhu Zhang
  • Genyun Sun
  • Jocelyn Chanussot
  • Sen Jia
  • Jinchang Ren

In addition to journal articles, Jia has contributed to book publications, including a volume published by SPIE titled "Field Guide to Hyperspectral/Multispectral Image Processing" in 2022.

Recognition of Jia's work includes the IEEE Fellow award received in 2021 for contributions to feature mining and classification of hyperspectral images.

Best Publications

  • Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks

    Yushi Chen;Hanlu Jiang;Chunyang Li;Xiuping Jia

  • Spectral–Spatial Classification of Hyperspectral Data Based on Deep Belief Network

    Yushi Chen;Xing Zhao;Xiuping Jia

  • Segmented principal components transformation for efficient hyperspectral remote-sensing image display and classification

    Xiuping Jia;J.A. Richards

  • Feature Mining for Hyperspectral Image Classification

    Xiuping Jia;Bor-Chen Kuo;M. M. Crawford

  • Hyperspectral Images Classification With Gabor Filtering and Convolutional Neural Network

    Yushi Chen;Lin Zhu;Pedram Ghamisi;Xiuping Jia

  • Nonlinear Multiple Kernel Learning With Multiple-Structure-Element Extended Morphological Profiles for Hyperspectral Image Classification

    Yanfeng Gu;Tianzhu Liu;Xiuping Jia;Jon Atli Benediktsson

  • Multiple Kernel Learning for Hyperspectral Image Classification: A Review

    Yanfeng Gu;Jocelyn Chanussot;Xiuping Jia;Jon Atli Benediktsson

  • Deep Fusion of Remote Sensing Data for Accurate Classification

    Yushi Chen;Chunyang Li;Pedram Ghamisi;Xiuping Jia

  • Adaptive Markov Random Field Approach for Classification of Hyperspectral Imagery

    Bing Zhang;Shanshan Li;Xiuping Jia;Lianru Gao

  • Efficient maximum likelihood classification for imaging spectrometer data sets

    Xiuping Jia;J.A. Richards

  • Hyperspectral Image Classification Using Convolutional Neural Networks and Multiple Feature Learning

    Qishuo Gao;Samsung Lim;Xiuping Jia

  • Foreword to the Special Issue on Spectral Unmixing of Remotely Sensed Data

    Antonio Plaza;Qian Du;José M. Bioucas-Dias;Xiuping Jia

  • Enhanced Autoencoders With Attention-Embedded Degradation Learning for Unsupervised Hyperspectral Image Super-Resolution

    Unknown

  • Hyperspectral Image Classification With Multi-Attention Transformer and Adaptive Superpixel Segmentation-Based Active Learning

    Unknown

  • X-Shaped Interactive Autoencoders With Cross-Modality Mutual Learning for Unsupervised Hyperspectral Image Super-Resolution

    Unknown

  • Graph-in-Graph Convolutional Network for Hyperspectral Image Classification.

    Unknown

  • An attention-fused network for semantic segmentation of very-high-resolution remote sensing imagery

    Xuan Yang;Shanshan Li;Zhengchao Chen;Jocelyn Chanussot

  • Deep Learning Ensemble for Hyperspectral Image Classification

    Yushi Chen;Ying Wang;Yanfeng Gu;Xin He

  • Remote Sensing Image Super-Resolution Using Novel Dense-Sampling Networks

    Xiaoyu Dong;Xu Sun;Xiuping Jia;Zhihong Xi

  • Hyperspectral Unmixing Based on Nonnegative Matrix Factorization: A Comprehensive Review

    Unknown

  • Integration of Soft and Hard Classifications Using Extended Support Vector Machines

    Liguo Wang;Xiuping Jia

  • A Novel MKL Model of Integrating LiDAR Data and MSI for Urban Area Classification

    Yanfeng Gu;Qingwang Wang;Xiuping Jia;Jon Atli Benediktsson

  • A Novel Semisupervised Active-Learning Algorithm for Hyperspectral Image Classification

    Zengmao Wang;Bo Du;Lefei Zhang;Liangpei Zhang

  • A comparison of information value and logistic regression models in landslide susceptibility mapping by using GIS

    Tao Chen;Ruiqing Niu;Xiuping Jia

  • Cloud Removal Based on Sparse Representation via Multitemporal Dictionary Learning

    Meng Xu;Xiuping Jia;Mark R. Pickering;Antonio J. Plaza

  • Collinearity and orthogonality of endmembers in linear spectral unmixing

    Freek D. Van der Meer;Xiuping Jia

Frequent Co-Authors

Jiankun Hu
Jiankun Hu University of New South Wales
Jun Zhou
Jun Zhou Griffith University
Sen Jia
Sen Jia Shenzhen University
Jinchang Ren
Jinchang Ren Robert Gordon University
Jon Atli Benediktsson
Jon Atli Benediktsson University of Iceland
Ngaiming Kwok
Ngaiming Kwok University of New South Wales
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Qingquan Li
Qingquan Li Shenzhen University
Antonio Plaza
Antonio Plaza University of Extremadura
Lianru Gao
Lianru Gao Aerospace Information Research Institute

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