Linlin Xu

Post Doctorate Fellow (Candidate)

Short biography

Linlin XuI am a post-doc fellow 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 WongDavid 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

Computer Vision

Image Segmentation/Classification

Remote Sensing

Stochastic Models

Research demos

MAGIC System

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 Imagerypdf", 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 networkspdf", IEEE Transactions on Geoscience and Remote Sensing , Accepted. Details

Li, F.L. XuA. Wong, and D. A. Clausi, "Feature Extraction for Hyperspectral Imagery via Ensemble Localized Manifold Learningpdf", IEEE Geoscience and Remote Sensing Letters, vol. 12, issue 12, 2015. Details

Li, F.L. XuA. Wong, and D. A. Clausi, "QMCTLS: Quasi Monte Carlo Texture Likelihood Sampling for Despeckling of Complex Polarimetric SAR Imagespdf", IEEE Geoscience and Remote Sensing Letters, vol. 12, issue 7, February, 2015. Details

Xu, L.A. WongF. Li, and D. A. Clausi, "Extraction of Endmembers From Hyperspectral Images Using A Weighted Fuzzy Purified-Means Clustering Modelpdf", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, issue 2, 2015. Details

Li, F.L. XuP. SivaA. Wong, and D. A. Clausi, "Hyperspectral Image Classification with Limited Labeled Training Samples Using Enhanced Ensemble Learning and Conditional Randompdf", IEEE Journal of Selected Topics in Applied Earth observations and Remote Sensing, vol. 8, issue 6, February, 2015.  Details

Xu, L.F. LiA. Wong, and D. A. Clausi, "Hyperspectral Image Denoising Using a Spatial–Spectral Monte Carlo Sampling Approachpdf", IEEE Journal of Selected Topics on Applied Earth Observations and Remote Sensing, vol. 8, issue 6: IEEE, 2015.  Details

Xu, L.A. WongF. Li, and D. A. Clausi, "Intrinsic Representation of Hyperspectral Imagery for Unsupervised Feature Extractionpdf", IEEE Transactions on Geosciences and Remote Sensing, vol. 54, issue 2: IEEE, 2015. Details

Wang, C., L. XuD. 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 fieldpdf", 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 Estimationpdf", 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 Analysispdf", 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 imagerypdf", 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 imagerypdf", Remote Sensing of Environment, vol. 141: Elsevier, pp. 14–23, 2014. Details

Conference papers

Wang, L.A. WongD. A. Clausi, A. K. Scott, L. XuM. J. Shafiee, and F. Li, "Sea ice concentration estimation from satellite SAR imagery using convolutional neural network and stochastic fully connected connected conditional random fieldpdf",CVPR 2015 Earthvision Workshop, Submitted. Details

Li, F.D. A. ClausiL. Wang, and L. Xu, "A Semi-supervised Approach for Ice-water Classification Using Dual-Polarization SAR Satellite Imagerypdf", CVPR 2015 Earthvision Workshop, Accepted. Details

Xu, L.M. J. ShafieeA. WongF. LiL. Wang, and D. A. Clausi, "Oil Spill Candidate Detection from SAR Imagery Using a Thresholding-Guided Stochastic Fully-Connected Conditional Random Field Modelpdf", CVPR 2015 Earthvision Workshop, Accepted. Details

Theses

Xu, L., "Mixture of Latent Variable Models for Remotely Sensed Image Processingpdf", Department of Geography and Environmental Management, 2014. Details

Affiliation: 
University of Waterloo

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