Short biography
I am a Research Assistant Professor in Vision and Image Processing Lab, working with professors David Clausi, Alexander Wong, Fan Li, and Steven Leigh, on remote sensing image processing, particularly for sea ice and oil spill mapping and monitoring. I recieved my PhD degree in Geography in 2014 from Department of Geography and Environment Management, University of Waterloo. I achieved my Master in 2010 and Bachelor degrees in 2007, both in geomatics engineering, from China University of Geosciences (Beijing).
Supervisors
Alexander Wong, David A. Clausi
Research interests
My research interests lie broadly in the following aspects: (1) SAR, PolSAR data processing and the associated applications, particularly in ocean environment monitoring; (2) Hyperspectral and multispectral unmixing, classification, segmentation, feature extraction, and the associated applications; (3) Quantitative and computational methods in remote sensing and other geospatial application, spatial-multivariate data modeling and mining, quantitative remote sensing, image processing & computer vision, GIS, WebGIS; (4) GPS and InSAR data processing with the application in subside monitoring and DEM production; (5) Airborne, mobile, and terrestrial laser scanning mapping for land observation and 3D object modelling.
Research topics
Image Segmentation/Classification
Research demos
Publications
Journal articles
Xu, L., J. M. Shafiee, A. Wong, and D. A. Clausi, "Fully-Connected Continuous Conditional Random Field With Stochastic Cliques for Dark-spot Detection In SAR Imagery
", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, February, Accepted. Details
Wang, L., A. K. Scott, L. Xu, and D. A. Clausi, "Ice concentration estimation from dual-polarized SAR images using deep convolutional neural networks", IEEE Transactions on Geoscience and Remote Sensing , Accepted. Details
Li, F., L. Xu, A. Wong, and D. A. Clausi, "Feature Extraction for Hyperspectral Imagery via Ensemble Localized Manifold Learning", IEEE Geoscience and Remote Sensing Letters, vol. 12, issue 12, 2015. Details
Li, F., L. Xu, A. Wong, and D. A. Clausi, "QMCTLS: Quasi Monte Carlo Texture Likelihood Sampling for Despeckling of Complex Polarimetric SAR Images", IEEE Geoscience and Remote Sensing Letters, vol. 12, issue 7, February, 2015. Details
Xu, L., A. Wong, F. Li, and D. 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, vol. 9, issue 2, 2015. Details
Li, F., L. Xu, P. Siva, A. Wong, and D. A. Clausi, "Hyperspectral Image Classification with Limited Labeled Training Samples Using Enhanced Ensemble Learning and Conditional Random", IEEE Journal of Selected Topics in Applied Earth observations and Remote Sensing, vol. 8, issue 6, February, 2015. Details
Xu, L., F. Li, A. Wong, and D. 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, vol. 8, issue 6: IEEE, 2015. Details
Xu, L., A. Wong, F. Li, and D. A. Clausi, "Intrinsic Representation of Hyperspectral Imagery for Unsupervised Feature Extraction", IEEE Transactions on Geosciences and Remote Sensing, vol. 54, issue 2: IEEE, 2015. Details
Wang, C., L. Xu, D. A. Clausi, and A. Wong, "A Bayesian Joint Decorrelation and Despeckling approach for speckle reduction of SAR Images", Vision Letters, vol. 1, issue 1, 2015. Details
Xu, L., and J. Li, "Bayesian classification of hyperspectral imagery based on probabilistic sparse representation and Markov random field", IEEE Geoscience and Remote Sensing Letters, vol. 11, issue 4, pp. 823-827, 2014. Details
Xu, L., J. Li, A. Wong, and J. Peng, "K-P-Means: A Clustering Algorithm of K 'Purified' Means for Hyperspectral Endmember Estimation", IEEE Geoscience and Remote Sensing Letters, vol. 11, issue 10, pp. 1787-1791, 2014. Details
Xu, L., J. Li, Y. Shu, and J. Peng, "SAR Image Denoising via Clustering-Based Principal Component Analysis", IEEE Transactions on Geoscience and Remote Sensing, vol. 52, issue 11: IEEE, pp. 6858-6869, 2014. Details
Xu, L., J. Li, A. Wong, and C. Wang, "A kernel PCA texture feature for efficient segmentation of Radarsat-2 SAR sea ice imagery", International Journal of Remote Sensing, vol. 35, issue 14, pp. 5053-5072, 2014. Details
Xu, L., J. Li, and A. Brenning, "A comparative study of different classification techniques for marine oil spill identification using RADARSAT-1 imagery", Remote Sensing of Environment, vol. 141: Elsevier, pp. 14–23, 2014. Details
Conference papers
Wang, L., A. Wong, D. A. Clausi, A. K. Scott, L. Xu, M. J. Shafiee, and F. Li, "Sea ice concentration estimation from satellite SAR imagery using convolutional neural network and stochastic fully connected connected conditional random field",CVPR 2015 Earthvision Workshop, Submitted. Details
Li, F., D. A. Clausi, L. Wang, and L. Xu, "A Semi-supervised Approach for Ice-water Classification Using Dual-Polarization SAR Satellite Imagery", CVPR 2015 Earthvision Workshop, Accepted. Details
Xu, L., M. J. Shafiee, A. Wong, F. Li, L. Wang, and D. A. Clausi, "Oil Spill Candidate Detection from SAR Imagery Using a Thresholding-Guided Stochastic Fully-Connected Conditional Random Field Model", CVPR 2015 Earthvision Workshop, Accepted. Details
Theses
Xu, L., "Mixture of Latent Variable Models for Remotely Sensed Image Processing", Department of Geography and Environmental Management, 2014. Details
