Linlin Xu

Research Assistant Professor
Linlin Xu

Contact information

Research interests

  • Hyperspectral Imaging
  • Synthetic Aperture Radar (SAR) Imaging
  • Satellite Ocean Monitoring
  • Artificial Intelligence for Inverse Problems in Earth Systems
  • Deep Learning for Big Earth Observation Data Computing
  • Remote Sensing of Earth Resources and Environment

Courses*

  • SYDE 633 - Remote Sensing Systems
    • Taught in 2024
  • SYDE 770 - Selected Topics in Communication and Information Systems
    • Taught in 2019, 2020, 2022, 2023

* Only courses taught in the past 5 years are displayed.

Selected/recent publications

  • Fan Li, David A Clausi, Linlin Xu, Alexander Wong, ST-IRGS: A Region-Based Self-Training Algorithm Applied to Hyperspectral Image Classification and Segmentation, IEEE Transactions on Geoscience and Remote Sensing, 56(1), 2017, 3 - 16
  • Lei Wang, K Andrea Scott, Linlin Xu, David A Clausi, Sea Ice Concentration Estimation During Melt From Dual-Pol SAR Scenes Using Deep Convolutional Neural Networks: A Case Study, IEEE Transactions on Geoscience and Remote Sensing, 54(8), 2016, 4524 - 4533
  • Linlin Xu, Alexander Wong, Fan Li, David A Clausi, Extraction of Endmembers From Hyperspectral Images Using A Weighted Fuzzy Purified-Means Clustering Model, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(2), 2016, 695 - 707
  • Fan Li, Linlin Xu, Alexander Wong, David A Clausi, Feature Extraction for Hyperspectral Imagery via Ensemble Localized Manifold Learning, IEEE Geoscience and Remote Sensing Letters, 12(12), 2016, 2486 - 2490
  • Fan Li, Linlin Xu, Parthipan Siva, Alexander Wong, David A Clausi, Hyperspectral Image Classification With Limited Labeled Training Samples Using Enhanced Ensemble Learning and Conditional Random Fields, IEEE Journal of Selected Topics in Applied Earth observations and Remote Sensing, 8(6), 2015, 2427 - 2438
  • Linlin Xu, Fan Li, Alexander Wong, David A Clausi, Hyperspectral Image Denoising Using a Spatial–Spectral Monte Carlo Sampling Approach, IEEE Journal of Selected Topics on Applied Earth Observations and Remote Sensing, 8(6), 2015, 3025 - 3038
  • Linlin Xu, Jonathan Li, Bayesian Classification of Hyperspectral Imagery Based on Probabilistic Sparse Representation and Markov Random Field, IEEE Geoscience and Remote Sensing Letters, 11(4), 2014, 823 - 827

Graduate studies