David Clausi | PhD PEng FIEEE FAAIA FCAE FEIC

David Clausi | PhD PEng FIEEE FAAIA FCAE FEIC
Professor, University Research Chair
Location: PSE-6448
Status: Active

Biography

David Clausi is a Professor in the Department of Systems Design Engineering at the University of Waterloo and a University Research Chair. His research spans computer vision, machine learning, image processing, and pattern recognition, with particular emphasis on remote sensing and sports video analytics. His multidisciplinary research program addresses problems in satellite and airborne Earth observation, Arctic and marine monitoring, and the automated interpretation of ice hockey video. His research is conducted in close collaboration with government and industry partners and has led to successful technology transfer and commercialization, including the creation and sale of the spinout company CREZ.

Prof. Clausi has authored or co-authored more than 370 refereed journal and conference publications and has supervised more than 90 graduate students and 20 postdoctoral researchers. His former trainees have gone on to successful careers in academia, industry, and government.

Throughout his career, Prof. Clausi has combined research excellence with student mentorship, interdisciplinary collaboration, and academic leadership.

Research Interests

  • Computer Vision, Remote Sensing Systems, Video Sports Analytics, Sea Ice Monitoring, Artificial Intelligence, Machine Learning, Digital Image Processing, Pattern Recognition, Satellite Imagery, Signal Processing

Education

  • 1996, Doctorate Systems Design Engineering, University of Waterloo, Ontario

  • 1992, Master's Systems Design Engineering, University of Waterloo, Ontario

  • 1990, Bachelor's Systems Design Engineering, University of Waterloo, Ontario

Awards

  • 2024-2031 University Research Chair

  • 2026 Ontario Professional Engineers Award – Research & Development

  • 2026 Fellow of the Institute of Electrical and Electronic Engineers (FIEEE)

  • 2024 Fellow of the Engineering Institute of Canada (FEIC)

  • 2022 Fellow of the Canadian Academy of Engineering (FCAE)

  • 2022 Fellow of Asia-Pacific Artificial Intelligence Association (FAAIA)

  • ScholarGPS top 0.11% worldwide

  • Second most cited paper for the Canadian Journal of Remote Sensing

  • Stanford University International Career "Top 2% List", since inception

  • University Outstanding Performance Award (5x)

  • 2012 Engineering Research Excellence Award

  • Engineering Distinguished Performance Award (3x)

  • 2010 Lifetime Achievement Award, Canadian Image Processing and Pattern Recognition Society (CIPPRS)

  • 2010 Mind to Market Award, Ontario Centers of Excellence

  • 2005 Teaching Excellence Award, Sandford Fleming Foundation, Faculty of Engineering

Service

  • 2025 - 2026 - University of Waterloo, Member of Board of Governors

  • 2018 - 2021, 2025 - 2028 - University of Waterloo, Member of Senate

  • 2019 - 2024 Associate Dean - Research and External Partnerships, Faculty of Engineering

  • 2009 - 2012 Associate Chair - Graduate, Systems Design Engineering

Professional Associations

  • PEng - Professional Engineer Ontario

  • FIEEE - Fellow of the Institute of Electrical and Electronic Engineers

  • FCAE - Fellow of the Canadian Academy of Engineering

  • FAAIA - Fellow of the Asia-Pacific AI Association

  • FEIC - Fellow of the Engineering Institute of Canada

Teaching*

  • SYDE 121 - Digital Computation
    • Taught in 2025
  • SYDE 575 - Image Processing
    • Taught in 2021, 2022, 2023, 2024, 2026
  • SYDE 633 - Remote Sensing Systems
    • Taught in 2026

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

Selected/Recent Publications

  • Hsiao J., Kalia A., Zhang Z., Sun H., Patel M., Clausi D.A., Xu L.L., Segal B., and Heath J., Human-in-the-Loop Eider Duck Counting in Arctic Canada with an Open-Vocabulary Multi-Species Wildlife Detector, Proceedings of the Aaai Conference on Artificial Intelligence, Volume 40, 39978-39986, Canada, 2026.

  • Brubacher N.C., Xu L., Segal R., Scott K.A., and Clausi D.A., Detection of Landfast Ice Polynyas from SAR Imagery Using Deep Learning, Canadian Journal of Remote Sensing, Volume 52, Canada, 2026.

  • Salass L., Zelek J., and Clausi D., Geometrically Aware Ice Hockey Puck Tracking via Stable Planar Representations, Lecture Notes in Computer Science, Volume 127, 215-232, Canada, 2026.

  • Chen X., Patel M., Xu L., Chen Y., Scott K.A., and Clausi D.A., A Weakly Supervised Learning Approach for Sea Ice Stage of Development Classification from AI4Arctic Sea Ice Challenge Dataset, IEEE Transactions on Geoscience and Remote Sensing, China, 2025.

  • Turnes J.N., Jiang M., Taleghanidoozdoozan S., Xu L., and Clausi D.A., ITT: Long-Range Spatial Dependencies for Sea Ice Semantic Segmentation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 18, 13296-13309, Canada, 2025.

  • Salass L., Bright J., Nazemi A., Chen Y., Zelek J., and Clausi D., Ice Hockey Puck Localization Using Contextual Cues, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 6050-6059, Canada, 2025.

  • de Loe L., Clausi D.A., and Scott K.A., Fusing Ice Surface Temperature With the AI4Arctic Dataset for Improved Deep Learning-Based Sea Ice Mapping, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 18, 24766-24782, Canada, 2025.

  • Qin H., Chen X., Patel M., Clausi D.A., Xu L., and Huang W., Masked Autoencoders for Enhancing SAR Sea Ice Image Segmentation, 2025 IEEE International Symposium on Antenna Technology and Applied Electromagnetics Antem 2025, 148-151, China, 2025.

  • Hsiao J., Clausi D.A., and Xu L.L., TemporalTemp: Encoding Historical Temperatures for Automated Sea Ice Mapping, Oceans Conference Record IEEE, Canada, 2025.

  • Chen X., Patel M., Xu L., Chen Y., Scott K.A., and Clausi D.A., Weakly Supervised Learning for Pixel-Level Sea Ice Concentration Extraction Using AI4Arctic Sea Ice Challenge Dataset, IEEE Geoscience and Remote Sensing Letters, Volume 21, 1-5, Canada, 2024.

  • Bright J., Balaji B., Chen Y., Clausi D.A., and Zelek J.S., PitcherNet: Powering the Moneyball Evolution in Baseball Video Analytics, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 3420-3429, Canada, 2024.

  • Chen X., Patel M., Xu L., Chen Y., Clausi D.A., Andrea Scott K., and Huang W., Pixel-Level Sea Ice Concentration Retrieval from Sentinel-1 SAR Imagery and Ancillary Data via Regional Loss Representations, Oceans Conference Record IEEE, China, 2024.

  • Chen X., Patel M., Xu L., Scott K.A., Clausi D.A., and Huang W., Enhancing Sea Ice Type Classification from AI4Arctic Dataset Based On Regional Loss Representations, International Geoscience and Remote Sensing Symposium IGARSS, 178-182, China, 2024.

  • Chomko V., Chen Y., Clausi D.A., and Wong A., Synthetic Local Data Augmentation, 2024 IEEE 26th International Workshop on Multimedia Signal Processing Mmsp 2024, Canada, 2024.

  • Balaji B., Bright J., Chen Y., Rambhatla S., Zelek J.S., and Clausi D.A., Seeing Beyond the Crop: Using Language Priors for Out-of-Bounding Box Keypoint Prediction, Advances in Neural Information Processing Systems, Volume 37, Canada, 2024.

  • Vats K., Walters P., Fani M., Clausi D.A., and Zelek J.S., Player tracking and identification in ice hockey, Expert Systems with Applications, Volume 127, Canada, 2023.

  • Chen X., Scott K.A., Xu L., Jiang M., Fang Y., and Clausi D.A., Uncertainty-Incorporated Ice and Open Water Detection on Dual-Polarized SAR Sea Ice Imagery, IEEE Transactions on Geoscience and Remote Sensing, Volume 61, Canada, 2023.

  • Chen X., Scott K.A., Jiang M., Fang Y., Xu L., and Clausi D.A., Sea ice classification with dual-polarized SAR imagery: a hierarchical pipeline, Proceedings 2023 IEEE Cvf Winter Conference on Applications of Computer Vision Workshops Wacvw 2023, 224-232, Canada, 2023.

  • Wu Y., Xu L., Wang L., Chen Q., Chen Y., and Clausi D.A., Multi-Task Edge Detection for Building Vectorization From Aerial Images, IEEE Geoscience and Remote Sensing Letters, Volume 20, Canada, 2023.

  • Ghanbari M., Xu L., and Clausi D.A., Local and Global Spatial Information for Land Cover Semisupervised Classification of Complex Polarimetric SAR Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 16, 3892-3904, Canada, 2023.

  • Taleghanidoozdoozan S., Xu L., and Clausi D.A., Region-Based Sea Ice Mapping Using Compact Polarimetric Synthetic Aperture Radar Imagery with Learned Features and Contextual In, Remote Sensing, Volume 15, Canada, 2023.

  • Fang Y., Wang Y., Xu L., Chen Y., Wong A., and Clausi D.A., Unsupervised Bayesian Subpixel Mapping Autoencoder Network for Hyperspectral Images, IEEE Transactions on Geoscience and Remote Sensing, Volume 61, Canada, 2023.

  • Chen X., Scott K.A., and Clausi D.A., Uncertainty Analysis of Sea Ice and Open Water Classification on SAR Imagery Using a Bayesian CNN, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volume 127, 343-356, Canada, 2023.

  • Chen X., Valencia R., Soleymani A., Xu L., and Scott K.A., Calibration of Uncertainty in Sea Ice Concentration Retrieval With an Auxiliary Prediction Interval Estimator, IEEE Geoscience and Remote Sensing Letters, Volume 20, Canada, 2023.

  • Patel M., Chen X., Xu L., Pena Cantu F.J., Noa Turnes J., Brubacher N.C., Clausi D.A., and Scott K.A., The Influence of Input Image Scale on Deep Learning-Based Beluga Whale Detection from Aerial Remote Sensing Imagery, International Geoscience and Remote Sensing Symposium IGARSS, Volume 127, 5732-5734, Canada, 2023.

  • Chen X., Valencia R., Soleymani A., Scott K.A., Jiang M., Xu L., and Clausi D.A., Uncertainty-Incorporated Arctic Sea Ice Concentration Estimation Using Heteroscedastic Bayesian Neural Networks, International Geoscience and Remote Sensing Symposium IGARSS, Volume 127, 141-144, Canada, 2023.

  • Xu L., Fang Y., Chen X., and Clausi D.A., Light-Weighted Explainable Dual Transformer Network for Hyperspectral Image Classification, International Geoscience and Remote Sensing Symposium IGARSS, Volume 127, 5942-5945, Canada, 2023.

  • Chen X., Patel M., Cantu F.J.P., Park J., Turnes J.N., Jiang M., Xu L., Scott K.A., Clausi D.A., and Huang W., The Influence of Input Variable Selection on Deep Learning-Based Sea Ice Parameter Inversion from Multi-Sensor Satellite Data, Oceans Conference Record (IEEE), Canada, 2023.

  • Pena Cantu F.J., Chen X., Liu Y., Kanani K., Park J., Tunes J.N., Xu L., Scott K.A., and Clausi D.A., A Hierarchical Multitask U-Net for Automated Sea Ice Mapping from AI4Arctic Sea Ice Challenge Dataset, Oceans Conference Record IEEE, Canada, 2023.

  • Fang Y., De Souza A., Xu L., Chen X., and Clausi D.A., Endmember Variable Mineral Mapping with Bayesian Convolutional Unmixing Network Using Prisma Hyperspectral Imagery, Workshop on Hyperspectral Image and Signal Processing Evolution in Remote Sensing, Canada, 2023.

  • Pena Cantu F.J., Chen X., Xu L., Manning M.I.A., Scott K.A., and Clausi D.A., INCIDENCE ANGLE DEPENDENCE OF TEXTURE FEATURES FROM DUAL POLARIZATION RADARSAT-2 SEA ICE IMAGERY, International Geoscience and Remote Sensing Symposium IGARSS, 172-175, Canada, 2023.

  • Fang Y., Wang Y., Xu L., Zhuo R., Wong A., and Clausi D.A., BCUN: Bayesian Fully Convolutional Neural Network for Hyperspectral Spectral Unmixing, IEEE Transactions on Geoscience and Remote Sensing, Volume 60, Canada, 2022.

  • Wu Y., Xu L., Chen Y., Wong A., and Clausi D.A., TAL: Topography-Aware Multi-Resolution Fusion Learning for Enhanced Building Footprint Extraction, IEEE Geoscience and Remote Sensing Letters, Volume 19, Canada, 2022.

  • Taleghanidoozdoozan S., Xu L., and Clausi D.A., Oil Spill Candidate Detection Using a Conditional Random Field Model on Simulated Compact Polarimetric Imagery, Canadian Journal of Remote Sensing, Volume 48, 425-440, Canada, 2022.

  • Fang Y., Xu L., Wong A., and Clausi D.A., Multi-Temporal Landsat-8 Images for Retrieval and Broad Scale Mapping of Soil Copper Concentration Using Empirical Models, Remote Sensing, Volume 14, Canada, 2022.

  • Fang Y., Xu L., Chen Y., Zhou W., Wong A., and Clausi D.A., A Bayesian Deep Image Prior Downscaling Approach for High-Resolution Soil Moisture Estimation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 15, 4571-4582, Canada, 2022.

  • Jiang M., Xu L., and Clausi D.A., Sea Ice–Water Classification of RADARSAT-2 Imagery Based on Residual Neural Networks (ResNet) with Regional Pooling, Remote Sensing, Volume 14, Canada, 2022.

  • Radhakrishnan K., Scott K.A., and Clausi D.A., Sea Ice Concentration Estimation: Using Passive Microwave and SAR Data with a U-Net and Curriculum Learning, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 14, 5339-5351, Canada, 2021.

  • Lee P.Q., Radhakrishnan K., Clausi D.A., Scott K.A., Xu L., and Marcoux M., Beluga whale detection in the Cumberland Sound Bay using convolutional neural networks, Canadian Journal of Remote Sensing, Volume 47, 276-294, Canada, 2021.

  • Asadi N., Scott K.A., Komarov A.S., Buehner M., and Clausi D.A., Evaluation of a Neural Network with Uncertainty for Detection of Ice and Water in SAR Imagery, IEEE Transactions on Geoscience and Remote Sensing, Volume 59, 247-259, Canada, 2021.

  • Chen Y., Xu L., Fang Y., Peng J., Yang W., Wong A., and Clausi D.A., Unsupervised Bayesian Subpixel Mapping of Hyperspectral Imagery Based on Band-Weighted Discrete Spectral Mixture Model and Marko, IEEE Geoscience and Remote Sensing Letters, Volume 18, 162-166, China, 2021.

  • Ghanbari M., Clausi D.A., and Xu L., CP-IRGS: A Region-Based Segmentation of Multilook Complex Compact Polarimetric SAR Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 14, 6559-6571, Canada, 2021.

  • Lee P.Q., Xu L., and Clausi D.A., Estimating Noise Floor in Sentinel-1 Images With Linear Programming and Least Squares, IEEE Transactions on Geoscience and Remote Sensing, Volume 60, Canada, 2022.

  • Vats K., Fani M., Clausi D.A., and Zelek J., Puck localization and multi-task event recognition in broadcast hockey videos, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 4562-4570, Canada, 2021.

  • Vats K., Fani M., Clausi D.A., and Zelek J., Multi-task learning for jersey number recognition in ice hockey, Mmsports 2021 Proceedings of the 4th International Workshop on Multimedia Content Analysis in Sports Co Located with ACM mm 2021, 11-15, Canada, 2021.

  • Gebotys B., Wong A., and Clausi D., POOF: Efficient Goalie Pose Annotation using Optical Flow, International Conference on Sport Sciences Research and Technology Support Icsports Proceedings, Volume 127, 116-122, Canada, 2021.

  • Lee P.Q., Xu L., and Clausi D.A., Sentinel-1 additive noise removal from cross-polarization extra-wide TOPSAR with dynamic least-squares, Remote Sensing of Environment, Volume 127, Canada, 2020.

  • Ghanbari M., Clausi D.A., Xu L., and Jiang M., Unsupervised Segmentation of Multilook Compact Polarimetric Sar Data based on Complex Wishart Distribution, International Geoscience and Remote Sensing Symposium IGARSS, 1456-1459, Canada, 2020.

  • Lee P.Q., Xu L., and Clausi D.A., Recalibrating Sentinel-1 Additive Noise-Gain with Linear Programming, International Geoscience and Remote Sensing Symposium IGARSS, 6158-6161, Canada, 2020.

  • Yang L., Xu L., Peng J., Song Y., Wong A., and Clausi D.A., Nonlocal Band-Weighted Iterative Spectral Mixture Model for Hyperspectral Imagery Denoising, IEEE Transactions on Geoscience and Remote Sensing, Volume 58, 5588-5601, China, 2020.

  • Zhong Z., Li J., Clausi D.A., and Wong A., Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification, IEEE Transactions on Cybernetics, Volume 50, 3318-3329, Canada, 2020.

  • Vats K., Fani M., Walters P., Clausi D.A., and Zelek J., Event detection in coarsely annotated sports videos via parallel multi receptive field 1D convolutions, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, Volume 127, 3856-3865, Canada, 2020.

  • Hoekstra M., Jiang M., Clausi D.A., and Duguay C., Lake ice-water classification of RADARSAT-2 images by integrating IRGS Segmentation with pixel-based random forest labeling, Remote Sensing, Volume 12, Canada, 2020.

  • Ghanbari M., Clausi D.A., Xu L., and Jiang M., Contextual Classification of Sea-Ice Types Using Compact Polarimetric SAR Data, IEEE Transactions on Geoscience and Remote Sensing, Volume 57, 7476-7491, Canada, 2019.

  • Fang Y., Hu Z., Xu L., Wong A., and Clausi D.A., Estimation of Iron Concentration in Soil of A Mining Area from Uav-Based Hyperspectral Imagery, Workshop on Hyperspectral Image and Signal Processing Evolution in Remote Sensing, Volume 127, Canada, 2019.

  • Cai Z., Neher H., Vats K., Clausi D.A., and Zelek J., Temporal hockey action recognition via pose and optical flows, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, Volume 127, 2543-2552, China, 2019.

  • Vats K., Neher H., Clausi D.A., and Zelek J., Two-stream action recognition in ice hockey using player pose sequences and optical flows, Proceedings 2019 16th Conference on Computer and Robot Vision Crv 2019, 181-188, Canada, 2019.

  • Fani M., Vats K., Dulhanty C., Clausi D.A., and Zelek J., Pose-projected action recognition hourglass network (PARHN) in soccer, Proceedings 2019 16th Conference on Computer and Robot Vision Crv 2019, 201-208, Canada, 2019.

  • Kumar D., Sankar V., Clausi D., Taylor G.W., and Wong A., SISC: End-to-End Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells, IEEE Access, Volume 7, 145444-145454, Canada, 2019.

  • Vats K., Neher H., Wong A., Clausi D.A., and Zelek J., Kptransfer: improved performance and faster convergence from keypoint subset-wise domain transfer in human pose estimation, Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, Volume 127, 220-231, Canada, 2019.

  • Asadi N., Scott K.A., and Clausi D.A., Data fusion and data assimilation of ice thickness observations using a regularisation framework, Tellus Series A Dynamic Meteorology and Oceanography, Volume 71, Canada, 2019.

  • Wang C., Xu L., Clausi D.A., and Wong A., A Bayesian Joint Decorrelation and Despeckling of SAR Imagery, IEEE Geoscience and Remote Sensing Letters, Volume 16, 1393-1397, China, 2019.

  • Kumar D., Neher H., Das A., Clausi D.A., and Waslander S.L., Condition and viewpoint invariant omni-directional place recognition using CNN, Proceedings 2017 14th Conference on Computer and Robot Vision Crv 2017, Volume 127, 32-39, Canada, 2018.

  • Ma A., Wong A., and Clausi D.A., Deep learning-driven depth from defocus via active multispectral quasi-random projections with complex subpatterns, Proceedings 2018 15th Conference on Computer and Robot Vision Crv 2018, 292-296, Canada, 2018.

  • Neher H., Vats K., Wong A., and Clausi D.A., HyperStackNet: A hyper stacked hourglass deep convolutional neural network architecture for joint player and stick pose estimati, Proceedings 2018 15th Conference on Computer and Robot Vision Crv 2018, 313-320, Canada, 2018.

  • Wang J., Duguay C.R., Clausi D.A., Pinard V., and Howell S.E.L., Semi-automated classification of Lake Ice Cover using dual polarization RADARSAT-2 imagery, Remote Sensing, Volume 10, Canada, 2018.

  • Fang Y., Xu L., Peng J., Yang H., Wong A., and Clausi D.A., Unsupervised Bayesian Classification of a Hyperspectral Image Based on the Spectral Mixture Model and Markov Random Field, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 11, 3325-3337, China, 2018.

  • Fang Y., Xu L., Peng J., Wang H., Wong A., and Clausi D.A., Retrieval and mapping of heavy metal concentration in soil using time series landsat 8 imagery, International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences ISPRS Archives, Volume 42, 335-340, China, 2018.

  • Amelard R., Pfisterer K.J., Jagani S., Clausi D.A., and Wong A., Non-contact assessment of obstructive sleep apnea cardiovascular biomarkers using photoplethysmography imaging, Progress in Biomedical Optics and Imaging Proceedings of SPIE, Volume 127, Canada, 2018.

  • Li F., Clausi D.A., Xu L., and Wong A., St-irgs: A region-based self-training algorithm applied to hyperspectral image classification and segmentation, IEEE Transactions on Geoscience and Remote Sensing, Volume 56, 3-16, Canada, 2018.

  • Wang L., Scott K.A., Clausi D.A., and Xu Y., Ice concentration estimation in the gulf of St. Lawrence using fully convolutional neural network, International Geoscience and Remote Sensing Symposium IGARSS, Volume 127, 4991-4994, Canada, 2017.

  • Gunn G.E., Duguay C.R., Derksen C., Clausi D.A., and Toose P., Investigating the influence of variable freshwater ice types on passive and active microwave observations, Remote Sensing, Volume 9, United States, 2017.

  • Fani M., Yazdi M., Clausi D.A., and Wong A., Soccer Video Structure Analysis by Parallel Feature Fusion Network and Hidden-to-Observable Transferring Markov Model, IEEE Access, Volume 5, 27322-27336, Iran, 2017.

  • Cao Y., Xu L., and Clausi D., Exploring the potential of active learning for automatic identification of marine oil spills using 10-year (2004-2013) RADARSAT , Remote Sensing, Volume 9, China, 2017.

  • Xu L., Wong A., and Clausi D.A., A novel Bayesian spatial-temporal random field model applied to cloud detection from remotely sensed imagery, IEEE Transactions on Geoscience and Remote Sensing, Volume 55, 4913-4924, China, 2017.

  • Fani M., Neher H., Clausi D.A., Wong A., and Zelek J., Hockey Action Recognition via Integrated Stacked Hourglass Network, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, Volume 127, 85-93, Iran, 2017.

  • Wang L., Scott K.A., and Clausi D.A., Sea ice concentration estimation during freeze-up from SAR imagery using a convolutional neural network, Remote Sensing, Volume 9, Canada, 2017.

  • Xu L., Clausi D.A., Li F., and Wong A., Weakly Supervised Classification of Remotely Sensed Imagery Using Label Constraint and Edge Penalty, IEEE Transactions on Geoscience and Remote Sensing, Volume 55, 1424-1436, China, 2017.

  • Xu L., Wong A., and Clausi D.A., An Enhanced Probabilistic Posterior Sampling Approach for Synthesizing SAR Imagery with Sea Ice and Oil Spills, IEEE Geoscience and Remote Sensing Letters, Volume 14, 188-192, China, 2017.

  • Amelard R., Hughson R.L., Greaves D.K., Pfisterer K.J., Leung J., Clausi D.A., and Wong A., Non-contact hemodynamic imaging reveals the jugular venous pulse waveform, Scientific Reports, Volume 7, Canada, 2017.

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