World's Best Scientists 2026 revealed!
Pingxiang Li

Pingxiang Li

D-Index & Metrics

Computer Science

D-Index
35
Citations
7456
World Ranking
11505
National Ranking
1426

Overview

Pingxiang Li is affiliated with Wuhan University in China and has published extensively in the field of engineering, with a focus on aerospace engineering, media technology, environmental engineering, oceanography, and ocean engineering. Their research spans multiple key topics within remote sensing and related technologies.

Their main topics of work include:

  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Soil Moisture and Remote Sensing
  • Remote-Sensing Image Classification
  • Advanced SAR Imaging Techniques
  • Geophysical Methods and Applications
  • Remote Sensing and Land Use
  • Underwater Acoustics Research

Li's publications cover a range of prominent journals in remote sensing, including IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing, IEEE Geoscience and Remote Sensing Magazine, Remote Sensing of Environment, and the International Journal of Applied Earth Observation and Geoinformation.

Notable recent papers include:

  • Hyperspectral Image Clustering: Current achievements and future lines, 2021, IEEE Geoscience and Remote Sensing Magazine
  • Soil moisture retrieval over agricultural fields from L-band multi-incidence and multitemporal PolSAR observations using polarimetric decomposition techniques, 2021, Remote Sensing of Environment
  • Nonlocal Means Regularized Sketched Reweighted Sparse and Low-Rank Subspace Clustering for Large Hyperspectral Images, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • Sparsity-Based Clustering for Large Hyperspectral Remote Sensing Images, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • A Deep Reinforcement Learning-Based Framework for PolSAR Imagery Classification, 2021, IEEE Transactions on Geoscience and Remote Sensing

Frequent co-authors who collaborated with Li include Lingli Zhao, Jie Yang, Lei Shi, Liangpei Zhang, and Jinqi Zhao. These collaborations have contributed to the breadth of work in remote sensing and image classification techniques.

The venues where Li has published repeatedly reflect the focus on geoscience and remote sensing, with six papers in IEEE Transactions on Geoscience and Remote Sensing and Remote Sensing respectively, among others.

Overall, Li's research contributions align with advancing knowledge in remote sensing techniques, especially in hyperspectral image analysis, soil moisture retrieval, and advanced synthetic aperture radar applications.

Best Publications

  • Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes

    Xiao-Ling Chen;Hong-Mei Zhao;Ping-Xiang Li;Zhi-Yong Yin

  • A super-resolution reconstruction algorithm for surveillance images

    Liangpei Zhang;Hongyan Zhang;Huanfeng Shen;Pingxiang Li

  • A MAP Approach for Joint Motion Estimation, Segmentation, and Super Resolution

    Huanfeng Shen;Liangpei Zhang;Bo Huang;Pingxiang Li

  • A pixel shape index coupled with spectral information for classification of high spatial resolution remotely sensed imagery

    Liangpei Zhang;Xin Huang;Bo Huang;Pingxiang Li

  • Spectral–Spatial Sparse Subspace Clustering for Hyperspectral Remote Sensing Images

    Hongyan Zhang;Han Zhai;Liangpei Zhang;Pingxiang Li

  • Classification and Extraction of Spatial Features in Urban Areas Using High-Resolution Multispectral Imagery

    Xin Huang;Liangpei Zhang;Pingxiang Li

  • An unsupervised artificial immune classifier for multi/hyperspectral remote sensing imagery

    Yanfei Zhong;Liangpei Zhang;Bo Huang;Pingxiang Li

  • Regional soil erosion risk mapping using RUSLE, GIS, and remote sensing: a case study in Miyun Watershed, North China

    Tao Chen;Rui-qing Niu;Ping-xiang Li;Liang-pei Zhang

  • Dimensionality Reduction Based on Clonal Selection for Hyperspectral Imagery

    Liangpei Zhang;Yanfei Zhong;Bo Huang;Jianya Gong

  • A new sub-pixel mapping algorithm based on a BP neural network with an observation model

    Liangpei Zhang;Ke Wu;Yanfei Zhong;Pingxiang Li

  • Cloud/shadow detection based on spectral indices for multi/hyperspectral optical remote sensing imagery

    Han Zhai;Hongyan Zhang;Liangpei Zhang;Pingxiang Li

  • Inpainting for Remotely Sensed Images With a Multichannel Nonlocal Total Variation Model

    Qing Cheng;Huanfeng Shen;Liangpei Zhang;Pingxiang Li

  • Laplacian-Regularized Low-Rank Subspace Clustering for Hyperspectral Image Band Selection

    Han Zhai;Hongyan Zhang;Liangpei Zhang;Pingxiang Li

  • Classification of High Spatial Resolution Imagery Using Improved Gaussian Markov Random-Field-Based Texture Features

    Yindi Zhao;Liangpei Zhang;Pingxiang Li;Bo Huang

  • Super-Resolution Reconstruction Algorithm To MODIS Remote Sensing Images

    Huanfeng Shen;Michael K. Ng;Pingxiang Li;Liangpei Zhang

  • A New Sparse Subspace Clustering Algorithm for Hyperspectral Remote Sensing Imagery

    Han Zhai;Hongyan Zhang;Liangpei Zhang;Pingxiang Li

  • Hyperspectral Image Clustering: Current Achievements and Future Lines

    Han Zhai;Hongyan Zhang;Pingxiang Li;Liangpei Zhang

  • Adaptive Multiple-Frame Image Super-Resolution Based on U-Curve

    Qiangqiang Yuan;Liangpei Zhang;Huanfeng Shen;Pingxiang Li

  • Supervised Graph Embedding for Polarimetric SAR Image Classification

    Lei Shi;Lefei Zhang;Jie Yang;Liangpei Zhang

  • Polarimetric-Spatial Classification of SAR Images Based on the Fusion of Multiple Classifiers

    Xiaoshuang Ma;Huanfeng Shen;Jie Yang;Liangpei Zhang

  • Seasonal inundation monitoring and vegetation pattern mapping of the Erguna floodplain by means of a RADARSAT-2 fully polarimetric time series

    Lingli Zhao;Jie Yang;Pingxiang Li;Liangpei Zhang

  • A Supervised Artificial Immune Classifier for Remote-Sensing Imagery

    Yanfei Zhong;Liangpei Zhang;Jianya Gong;Pingxiang Li

Frequent Co-Authors

Liangpei Zhang
Liangpei Zhang Wuhan University
Hongyan Zhang
Hongyan Zhang China University of Geosciences
Weidong Sun
Weidong Sun Chinese Academy of Sciences
Huanfeng Shen
Huanfeng Shen Wuhan University
Yanfei Zhong
Yanfei Zhong Wuhan University
Wei Gong
Wei Gong Wuhan University
Zhong Lu
Zhong Lu Southern Methodist University
Xiaoli Ding
Xiaoli Ding Hong Kong Polytechnic University
Lefei Zhang
Lefei Zhang Wuhan University
Bo Du
Bo Du Wuhan University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science opens doors to a broad range of online degree programs and careers in the USA. Many students find value in closely related fields that offer strong career prospects and flexible learning options.

For those interested in engineering, pursuing the cheapest online mechanical engineering degree can be a smart choice for combining technical know-how with affordability. If your passion lies in the foundations of science, an online theoretical physics degree provides a rigorous analytical background, serving as a solid base for research and tech careers.

The growing demand for big data skills makes the cheapest master in data science highly attractive for students aiming for roles in analytics, AI, and technology strategy. For those more focused on hardware and systems, an online bachelor’s in electrical engineering paves the way to electronics, robotics, and telecommunications careers.

Each of these programs supports unique career pathways and offers varied options for online study, making it easier than ever to specialize according to your interests while balancing affordability, flexibility, and future job opportunities.

Best Scientists Citing Pingxiang Li

Trending Scientists