World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
14011
World Ranking
3420
National Ranking
458

Overview

Xian Sun is a researcher affiliated with the University of Chinese Academy of Sciences in China. Their work primarily covers the fields of Computer Science and Engineering, with a significant focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Aerospace Engineering, and Ocean Engineering.

The research contributions span multiple topics related to remote sensing and image analysis. Key topics include:

  • Remote-Sensing Image Classification
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced SAR Imaging Techniques
  • Synthetic Aperture Radar (SAR) Applications and Techniques

Xian Sun has authored several recent academic papers, showcasing research in remote sensing imagery and machine learning techniques. Notable publications include:

  • "FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery," 2022, published in ISPRS Journal of Photogrammetry and Remote Sensing
  • "Rotation-aware and multi-scale convolutional neural network for object detection in remote sensing images," 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • "An Anchor-Free Method Based on Feature Balancing and Refinement Network for Multiscale Ship Detection in SAR Images," 2020, IEEE Transactions on Geoscience and Remote Sensing
  • "Oriented objects as pairs of middle lines," 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • "RingMo: A Remote Sensing Foundation Model With Masked Image Modeling," 2022, IEEE Transactions on Geoscience and Remote Sensing

Frequent co-authors in the research collaborations include Kun Fu, Wenhui Diao, Zhirui Wang, Wenkai Zhang, and Hongfeng Yu. The associations indicate ongoing collaborative projects and contributions within the remote sensing and computer vision communities.

Publication venues commonly chosen by Xian Sun highlight a specialization in remote sensing and applied earth observation fields. These venues include:

  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • arXiv (Cornell University)
  • Neurocomputing
  • Remote Sensing

The scope of research and publication frequency indicates an involvement in integrating advanced neural network methods with remote sensing imagery classification and interpretation. This includes development of benchmark datasets, detection methods in SAR (Synthetic Aperture Radar) images, and foundation models designed for remote sensing applications.

Best Publications

  • SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects

    Xue Yang;Jirui Yang;Junchi Yan;Yue Zhang

  • FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery

    Unknown

  • Change Detection Based on Deep Siamese Convolutional Network for Optical Aerial Images

    Yang Zhan;Kun Fu;Menglong Yan;Xian Sun

  • Automatic Ship Detection of Remote Sensing Images from Google Earth in Complex Scenes Based on Multi-Scale Rotation Dense Feature Pyramid Networks

    Xue Yang;Hao Sun;Kun Fu;Jirui Yang

  • A Densely Connected End-to-End Neural Network for Multiscale and Multiscene SAR Ship Detection

    Jiao Jiao;Yue Zhang;Hao Sun;Xue Yang

  • Automatic Ship Detection in Remote Sensing Images from Google Earth of Complex Scenes Based on Multiscale Rotation Dense Feature Pyramid Networks

    Xue Yang;Hao Sun;Kun Fu;Jirui Yang

  • RingMo: A Remote Sensing Foundation Model With Masked Image Modeling

    Unknown

  • FMSSD: Feature-Merged Single-Shot Detection for Multiscale Objects in Large-Scale Remote Sensing Imagery

    Peijin Wang;Xian Sun;Wenhui Diao;Kun Fu

  • Automatic Target Detection in High-Resolution Remote Sensing Images Using Spatial Sparse Coding Bag-of-Words Model

    Hao Sun;Xian Sun;Hongqi Wang;Yu Li

  • Rotation-aware and multi-scale convolutional neural network for object detection in remote sensing images

    Kun Fu;Zhonghan Chang;Yue Zhang;Guangluan Xu

  • An Anchor-Free Method Based on Feature Balancing and Refinement Network for Multiscale Ship Detection in SAR Images

    Jiamei Fu;Xian Sun;Zhirui Wang;Kun Fu

  • Oriented objects as pairs of middle lines

    Haoran Wei;Yue Zhang;Zhonghan Chang;Hao Li

  • Triplet-Based Semantic Relation Learning for Aerial Remote Sensing Image Change Detection

    Mengya Zhang;Guangluan Xu;Keming Chen;Menglong Yan

  • MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

    Daoyu Lin;Kun Fu;Yang Wang;Guangluan Xu

  • Hybrid Multiple Attention Network for Semantic Segmentation in Aerial Images

    Ruigang Niu;Xian Sun;Yu Tian;Wenhui Diao

  • Efficient Saliency-Based Object Detection in Remote Sensing Images Using Deep Belief Networks

    Wenhui Diao;Xian Sun;Xinwei Zheng;Fangzheng Dou

  • Research Progress on Few-Shot Learning for Remote Sensing Image Interpretation

    Xian Sun;Bing Wang;Zhirui Wang;Hao Li

  • Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval

    Zhiqiang Yuan;Wenkai Zhang;Kun Fu;Xuan Li

  • Position Detection and Direction Prediction for Arbitrary-Oriented Ships via Multitask Rotation Region Convolutional Neural Network

    Xue Yang;Hao Sun;Xian Sun;Menglong Yan

  • A New Method on Inshore Ship Detection in High-Resolution Satellite Images Using Shape and Context Information

    Ge Liu;Yasen Zhang;Xinwei Zheng;Xian Sun

  • PBNet: Part-based convolutional neural network for complex composite object detection in remote sensing imagery

    Xian Sun;Peijin Wang;Cheng Wang;Yingfei Liu

  • Object Detection in High-Resolution Remote Sensing Images Using Rotation Invariant Parts Based Model

    Wanceng Zhang;Xian Sun;Kun Fu;Chenyuan Wang

  • Automatic Water-Body Segmentation From High-Resolution Satellite Images via Deep Networks

    Ziming Miao;Kun Fu;Hao Sun;Xian Sun

  • Aircraft Recognition in High-Resolution Satellite Images Using Coarse-to-Fine Shape Prior

    Ge Liu;Xian Sun;Kun Fu;Hongqi Wang

Frequent Co-Authors

Kun Fu
Kun Fu University of Chinese Academy of Sciences
Xue Yang
Xue Yang Shanghai Jiao Tong University
Stefan Hinz
Stefan Hinz Karlsruhe Institute of Technology
Heng-Chao Li
Heng-Chao Li Southwest Jiaotong University
Antonio Plaza
Antonio Plaza University of Extremadura
Cheng Wang
Cheng Wang Xiamen University
Jian Kang
Jian Kang University College London
Feng Xu
Feng Xu Fudan University
Thomas Blaschke
Thomas Blaschke University of Salzburg
William J. Emery
William J. Emery University of Colorado Boulder

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