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Xavier, C. Xujie, H. Abedi, J. Boger, P. Morita, A. Wong, and G. Shaker, "2D-Multiple Signal Processing Approach to Human Orientation Monitoring Using Millimeter-wave FMCW Radar", Journal of Computational Vision and Imaging Systems, vol. 5, no. 1, pp. 2–2, 2019.
Xiaodan, HU., M. A. Naiel, Z. Azimifar, I. Ben Daya, M. Lamm, and P. Fieguth, Device, system and method for enhancing one or more of high contrast regions and text regions in projected images, 2020.
US Patent App. 16/829,441
Xin, H., JS. Zelek, and H. Carnahan, "Laparoscopic surgery, perceptual limitations and force: A review", First Canadian student conference on biomedical computing, vol. 144, 2006.
Xin, H., C. M. Burns, and J. S. Zelek, "Non-situated vibrotactile force feedback and laparoscopy performance", 2006 IEEE International Workshop on Haptic Audio Visual Environments and their Applications (HAVE 2006): IEEE, pp. 27–32, 2006.
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, 2015. PDF icon tgsfcrf_oil_v_1.0.pdf (2.53 MB)
Xu, L., J. M Shafiee, A. Wong, F. Li, L. Wang, and D. Clausi, "Oil spill candidate detection from SAR imagery using a thresholding-guided stochastic fully-connected conditional random field model", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 79–86, 2015.
Xu, L., J. M 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", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 79–86, 2015.
Xu, L., A. Wong, and D. A. Clausi, "A Novel Bayesian Spatial–Temporal Random Field Model Applied to Cloud Detection From Remotely Sensed Imagery", IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 9: IEEE, pp. 4913–4924, 2017.
Xu, L., A. Wong, and D. A. Clausi, "An enhanced probabilistic posterior sampling approach for synthesizing sar imagery with sea ice and oil spills", IEEE Geoscience and Remote Sensing Letters, vol. 14, no. 2: IEEE, pp. 188–192, 2016.
Xu, L., M. Javad 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, vol. 9, no. 7: IEEE, pp. 2882–2890, 2016.
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, 2016. PDF icon sfcrf_for_oil_spill_detection.pdf (2.91 MB)
Xu, L., D. A. Clausi, F. Li, and A. Wong, "Weakly supervised classification of remotely sensed imagery using label constraint and edge penalty", IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 3: IEEE, pp. 1424–1436, 2016.
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. PDF icon 07181642.pdf (1.66 MB)
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, no. 2: IEEE, pp. 695–707, 2015.
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, 2015.
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, 03/2015. PDF icon 07063939.pdf (5.04 MB)
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 in Applied Earth Observations and Remote Sensing, vol. 8, no. 6: IEEE, pp. 3025–3038, 2015.
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, pp. 1118 - 1130, 2015. PDF icon PDF (1.19 MB)
Xu, L., A. Wong, F. Li, and D. A. Clausi, "Intrinsic representation of hyperspectral imagery for unsupervised feature extraction", IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 2: IEEE, pp. 1118–1130, 2015.
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, pp. 14 - 23, 2014. PDF icon 2014-xu-li-brenning-rse.pdf (1.69 MB)
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. PDF icon 2014_-_linlin_xu_-_akpcatexturefeaturemodelforefficientsegmentationofretrieved-2014-09-05.pdf (1.01 MB)
Xu, L., J. Li, A. Wong, and C. Wang, "A KPCA texture feature model for efficient segmentation of RADARSAT-2 SAR sea ice imagery", International Journal of Remote Sensing, vol. 35, no. 13: Taylor & Francis, pp. 5053–5072, 2014.
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. PDF icon 2014-xu-grsl_0.pdf (610.65 KB)
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. Package icon kpmeans_code.zip (5.69 MB)PDF icon 06779599.pdf (400.57 KB)
Xu, L., J. Li, A. Wong, and J. Peng, "Kp-means: A clustering algorithm of k “purified” means for hyperspectral endmember estimation", IEEE Geoscience and Remote Sensing Letters, vol. 11, no. 10: IEEE, pp. 1787–1791, 2014.
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, pp. 6858 - 6869, 2014. PDF icon 06755512.pdf (1.48 MB)
Xu, L., "Mixture of Latent Variable Models for Remotely Sensed Image Processing", Department of Geography and Environmental Management, 2014. PDF icon xu_linlin_0.pdf (2.07 MB)
Xuezhi, Y., and DA. Clausi, "SAR sea ice image segmentation based on edge-preserving watersheds", Fourth Canadian Conference on Computer and Robot Vision (CRV'07), 2007.

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