I am a Research Assistant Professor in the Department of Systems Design Engineering, working on AI, machine learning, Earth Observation and Environmental Remote Sensing projects.
In my key research areas, I have demonstrated excellence, leadership and recognition. I, as principal investigator, have successfully secured many competitive grants, including NSERC Discovery Grant. I have published one book chapter, 66 journal papers on high-rank remote sensing journals and 41 conference articles on high-impact conferences.
I have been involved in many invited talks and presentations to different audiences, and I frequently receive reviewer invitations from high-impact remote sensing journals and conferences. I serve as the Associate Editor of Frontiers in Environmental Science (Section: Big Data, AI and the Environment).
LinkedIn: linkedin.com/linlinxu.
Google Scholar: https://scholar.google.com/linlinxu
Email: l44xu@uwaterloo.ca
Students
Supervision – Current
Ph.D
M.A.Sc
Supervision – Completed
Ph.D
M.A.Sc
Image Segmentation/Classification
Remote Sensing
Stochastic Models
Disparate Scene Registration
Grid Seams: A fast superpixel algorithm for real-time applications
MAGIC System
SAR Sea Ice Image Synthesis
Satellite SAR Sea Ice Classification
Texture Classification
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, vol. 21, pp. 1-5, 2024. Get it here. Lu D., Gao K., Xie Q., Xu L., and Li J, "3DGTN: 3-D Dual-Attention GLocal Transformer Network for Point Cloud Classification and Segmentation", IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-13, 2024. Get it here. 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, vol. 61, 2023. Get it here. 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, vol. 16, pp. 3892-3904, 2023. Get it here. 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, vol. 20, 2023. Get it here. 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, vol. 15, 2023. Get it here. 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, vol. 61, 2023. Get it here. Wang C., Yang Y., Xu L., and Wong A, "A Hybrid Model of Primary Ensemble Empirical Mode Decomposition and Quantum Neural Network in Financial Time Series Prediction", Fluctuation and Noise Letters, vol. 22, 2023. Get it here. Yu J., Zhangzhong L., Lan R., Zhang X., Xu L., and Li J, "Ensemble Learning Simulation Method for Hydraulic Characteristic Parameters of Emitters Driven by Limited Data", Agronomy, vol. 13, 2023. Get it here. 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, vol. 20, 2023. Get it here. 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, vol. 60, 2022. Get it here. 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, vol. 19, 2022. Get it here. Liu Y., Yang H., Wang S., Xu L., and Peng J, "Monitoring and Stability Analysis of the Deformation in the Woda Landslide Area in Tibet, China by the DS-InSAR Method", Remote Sensing, vol. 14, 2022. Get it here. Zhuo R., Fang Y., Xu L., Chen Y., Wang Y., and Peng J, "A novel spectral-temporal Bayesian unmixing algorithm with spatial prior for Sentinel-2 time series", Remote Sensing Letters, vol. 13, pp. 522-532, 2022. Get it here. 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, vol. 48, pp. 425-440, 2022. Get it here. 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, vol. 14, 2022. Get it here. 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, vol. 15, pp. 4571-4582, 2022. Get it here. 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, vol. 14, 2022. Get it here. Lu D., Xie Q., Gao K., Xu L., and Li J, "3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification", IEEE Transactions on Intelligent Transportation Systems, vol. 23, pp. 24854-24865, 2022. Get it here. Chen Y., Zhuo R., Xu L., Peng J., Qi X., Zhang Z., and Hu Z, "Bayesian Subpixel Mapping of Hyperspectral Imagery via Discrete Endmember Variability Mixture Model and Markov Random Field", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 6506-6517, 2022. Get it here. Yang L., Peng J., Wang Y., Xu L., and Zhu W, "Semisupervised Hyperspectral Image Classification via Superpixel-Based Graph Regularization with Local and Nonlocal Features", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 6645-6658, 2022. Get it here. Yu J., Wu Y., Xu L., Peng J., Chen G., Shen X., Lan R., Zhao C., and Zhangzhong L, "Evaluating the Hydrus-1D Model Optimized by Remote Sensing Data for Soil Moisture Simulations in the Maize Root Zone", Remote Sensing, vol. 14, 2022. Get it here. Yu J., Zheng W., Xu L., Meng F., Li J., and Zhangzhong L, "TPE-CatBoost: An adaptive model for soil moisture spatial estimation in the main maize-producing areas of China with multiple en", Journal of Hydrology, vol. 127, 2022. Get it here. Gao K., He H., Lu D., Xu L., Ma L., and Li J, "Optimizing and Evaluating Swin Transformer for Aircraft Classification: Analysis and Generalizability of the MTARSI Dataset", IEEE Access, vol. 10, pp. 134427-134439, 2022. Get it here. 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, vol. 47, pp. 276-294, 2021. Get it here. 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, vol. 18, pp. 162-166, 2021. Get it here. Liu J., Yang H., Xu L., and Li T, "Novel model-based approaches for non-homogenous atmospheric compensation of gb-insar in the azimuth and horizontal directions", Remote Sensing, vol. 13, 2021. Get it here. Yu J., Zhang X., Xu L., Dong J., and Zhangzhong L, "A hybrid CNN-GRU model for predicting soil moisture in maize root zone", Agricultural Water Management, vol. 127, 2021. Get it here. Cai Y., He H., Yang K., Fatholahi S.N., Ma L., Xu L., and Li J, "A Comparative Study of Deep Learning Approaches to Rooftop Detection in Aerial Images", Canadian Journal of Remote Sensing, vol. 47, pp. 413-431, 2021. Get it here. Wang Y., Li K., Xu L., Wei Q., Wang F., and Chen Y, "A Depthwise Separable Fully Convolutional ResNet with ConvCRF for Semisupervised Hyperspectral Image Classification", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 4621-4632, 2021. Get it here. 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, vol. 60, 2022. Get it here. Yan S., Xu L., Yu G., Yang L., Yun W., Zhu D., Ye S., and Yao X, "Glacier classification from Sentinel-2 imagery using spatial-spectral attention convolutional model", International Journal of Applied Earth Observation and Geoinformation, vol. 102, 2021. Get it here. Ma Z., Liu Z., Pu J., Xu L., Li K., Wangqu L., Wu R., Ma Y., Chen Y., and Duguay C, "Deep convolutional neural network with random field model for lake ice mapping from Sentinel-1 imagery", International Journal of Remote Sensing, vol. 42, pp. 9343-9367, 2021. Get it here. Morita P.P., Rocha A.S., Shaker G., Lee D., Wei J., Fong B., Thatte A., Karimi A., Xu L., Ma A., Wong A., and Boger J, "Comparative Analysis of Gait Speed Estimation Using Wideband and Narrowband Radars, Thermal Camera, and Motion Tracking Suit Tec", Journal of Healthcare Informatics Research, vol. 4, pp. 215-237, 2020. Get it here. Scott K.A., Xu L., and Pour H.K, "Retrieval of ice/water observations from synthetic aperture radar imagery for use in lake ice data assimilation", Journal of Great Lakes Research, vol. 46, pp. 1521-1532, 2020. Get it here. 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, vol. 127, 2020. Get it here. 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, vol. 58, pp. 5588-5601, 2020. Get it here. Yu B., Xu L., Peng J., Hu Z., and Wong A, "Global chlorophyll- a concentration estimation from moderate resolution imaging spectroradiometer using convolutional neural net", Journal of Applied Remote Sensing, vol. 14, 2020. Get it here. Cao Y., Wang Y., Peng J., Zhang L., Xu L., Yan K., and Li L, "DML-GANR: Deep Metric Learning with Generative Adversarial Network Regularization for High Spatial Resolution Remote Sensing Ima", IEEE Transactions on Geoscience and Remote Sensing, vol. 58, pp. 8888-8904, 2020. Get it here. Pu J., Yan K., Zhou G., Lei Y., Zhu Y., Guo D., Li H., Xu L., Knyazikhin Y., and Myneni R.B, "Evaluation of the MODIS LAI/FPAR algorithm based on 3D-RTM simulations: A case study of grassland", Remote Sensing, vol. 12, pp. 1-17, 2020. Get it here. Yang L., Peng J., Su H., Xu L., Wang Y., and Yu B, "Combined Nonlocal Spatial Information and Spatial Group Sparsity in NMF for Hyperspectral Unmixing", IEEE Geoscience and Remote Sensing Letters, vol. 17, pp. 1767-1771, 2020. Get it here. Yang F., Liu Y., Xu L., Li K., Hu P., and Chen J, "Vegetation-ice-bare land cover conversion in the oceanic glacial region of tibet based on multiple machine learning classificati", Remote Sensing, vol. 12, 2020. Get it here. Yu J., Zheng W., Xu L., Zhangzhong L., Zhang G., and Shan F, "A pso-xgboost model for estimating daily reference evapotranspiration in the solar greenhouse", Intelligent Automation and Soft Computing, vol. 26, pp. 989-1003, 2020. Get it here. Yu J., Tang S., Zhangzhong L., Zheng W., Wang L., Wong A., and Xu L, "A deep learning approach for multi-depth soil water content prediction in summer maize growth period", IEEE Access, vol. 8, pp. 199097-199110, 2020. Get it here. Li K., Ma Z., Xu L., Chen Y., Ma Y., Wu W., Wang F., and Liu Z, "Depthwise Separable ResNet in the MAP Framework for Hyperspectral Image Classification", IEEE Geoscience and Remote Sensing Letters, vol. 19, 2022. Get it here. 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, vol. 57, pp. 7476-7491, 2019. Get it here. 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, vol. 127, 2019. Get it here. 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, vol. 16, pp. 1393-1397, 2019. Get it here. 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, vol. 11, pp. 3325-3337, 2018. Get it here. 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, vol. 42, pp. 335-340, 2018. Get it here. 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, vol. 56, pp. 3-16, 2018. Get it here. Tan W., Li J., Xu L., and Chapman M.A, "Semiautomated Segmentation of Sentinel-1 SAR Imagery for Mapping Sea Ice in Labrador Coast", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, pp. 1419-1432, 2018. Get it here. Hu Z., Xu L., and Yu B, "Soil moisture retrieval using convolutional neural networks: Application to passive microwave remote sensing", International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, vol. 42, pp. 583-586, 2018. Get it here. Liu L., Xu L., and Peng J, "3D reconstruction from UAV-based hyperspectral images", International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, vol. 42, pp. 1073-1077, 2018. Get it here. Li D., Xu L., Peng J., and Ma J, "Hyperspectral image denoising using a nonlocal spectral spatial principal component analysis", International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, vol. 42, pp. 789-794, 2018. Get it here. Cao Y., Xu L., and Peng J, "Smsynth: An imagery synthesis system for soil moisture retrieval", International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, vol. 42, pp. 127-131, 2018. Get it here. Zhuo R., Xu L., Peng J., and Chen Y, "Spectral unmixing analysis of time series Landsat8 images", International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, vol. 42, pp. 2609-2614, 2018. Get it here. 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, vol. 9, 2017. Get it here. 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, vol. 55, pp. 4913-4924, 2017. Get it here. 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, vol. 55, pp. 1424-1436, 2017. Get it here. 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, vol. 14, pp. 188-192, 2017. Get it here. Wang L., Scott K.A., Xu L., and Clausi D.A, "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, vol. 54, pp. 4524-4533, 2016. Get it here. Xu L., Shafiee M.J., Wong A., and Clausi D.A, "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, pp. 2882-2890, 2016. Get it here. Xu L., Wong A., Li F., and Clausi D.A, "Intrinsic Representation of Hyperspectral Imagery for Unsupervised Feature Extraction", IEEE Transactions on Geoscience and Remote Sensing, vol. 54, pp. 1118-1130, 2016. Get it here. Xu L., Wong A., Li F., and Clausi D.A, "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, pp. 695-707, 2016. Get it here. Li F., Xu L., Wong A., and Clausi D.A, "Feature Extraction for Hyperspectral Imagery via Ensemble Localized Manifold Learning", IEEE Geoscience and Remote Sensing Letters, vol. 12, pp. 2486-2490, 2015. Get it here. Li F., Xu L., Wong A., and Clausi D.A, "QMCTLS: Quasi Monte Carlo Texture Likelihood Sampling for Despeckling of Complex Polarimetric SAR Images", IEEE Geoscience and Remote Sensing Letters, vol. 12, pp. 1566-1570, 2015. Get it here. Li F., Xu L., Siva P., Wong A., and Clausi D.A, "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, pp. 2427-2438, 2015. Get it here. Xu L., Li F., Wong A., and Clausi D.A, "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, pp. 3025-3038, 2015. Get it here. Xu L., Li J., Wong A., and Wang C, "A KPCA texture feature model for efficient segmentation of RADARSAT-2 SAR sea ice imagery", International Journal of Remote Sensing, vol. 35, pp. 5053-5072, 2014. Get it here. Xu L., Li J., Wong A., and Peng J, "K-P-means: A clustering algorithm of K 'purified' means for hyperspectral endmember estimation", IEEE Geoscience and Remote Sensing Letters, vol. 11, pp. 1787-1791, 2014. Get it here. Xu L., and Li J, "Bayesian classification of hyperspectral imagery based on probabilistic sparse representation and markov random field", IEEE Geoscience and Remote Sensing Letters, vol. 11, pp. 823-827, 2014. Get it here. Xu L., Li J., and Brenning A, "A comparative study of different classification techniques for marine oil spill identification using RADARSAT-1 imagery", Remote Sensing of Environment, vol. 127, pp. 14-23, 2014. Get it here. Xu L., Li J., Shu Y., and Peng J, "SAR image denoising via clustering-based principal component analysis", IEEE Transactions on Geoscience and Remote Sensing, vol. 52, pp. 6858-6869, 2014. Get it here. Wang Y., Zhuo R., Xu L., and Fang Y, "A Spatial–Temporal Bayesian Deep Image Prior Model for Moderate Resolution Imaging Spectroradiometer Temporal Mixture Analysis", Remote Sensing, vol. 15, 2023. Get it here. Zhou G., Liu M., Xu L., and Li L, "A gap-filling method for satellite-derived chlorophyll-a time series based on neighborhood spatiotemporal information", International Journal of Applied Earth Observation and Geoinformation, vol. 127, . Get it here. Lu D., Zhou J., Gao K.Y., Du J., Xu L., and Li J, "Dynamic clustering transformer network for point cloud segmentation", International Journal of Applied Earth Observation and Geoinformation, vol. 127, . Get it here. Chen X., Patel M., Pena Cantu F.J., Park J., Turnes J.N., Xu L., Scott K.A., and Clausi D.A, "MMSeaIce: a collection of techniques for improving sea ice mapping with a multi-task model", Cryosphere, vol. 18, pp. 1621-1632, . Get it here. Lu D., Schwartz S., Xu L., Shafiee M.J., Vinson N.G., Czarnecki K.J., and Wong A, "Integrating deep transformer and temporal convolutional networks for SMEs revenue and employment growth prediction", Expert Systems with Applications, vol. 127, . Get it here. Zheng W., Zheng K., Gao L., Zhangzhong L., Lan R., Xu L., and Yu J, "GRU–Transformer: A Novel Hybrid Model for Predicting Soil Moisture Content in Root Zones", Agronomy, vol. 14, . Get it here. Chen X., Cantu F.J.P., Patel M., Xu L., Brubacher N.C., Scott K.A., and Clausi D.A, "A comparative study of data input selection for deep learning-based automated sea ice mapping", International Journal of Applied Earth Observation and Geoinformation, vol. 127, . Get it here. Jiang M., Chen X., Xu L., and Clausi D.A, "IceGCN: An Interactive Sea Ice Classification Pipeline for SAR Imagery Based on Graph Convolutional Network", Remote Sensing, vol. 16, . Get it here. Stokholm A., Buus-Hinkler J., Wulf T., Korosov A., Saldo R., Pedersen L.T., Arthurs D., Dragan I., Modica I., Pedro J., Debien A., Chen X., Patel M., Cantu F.J.P., Turnes J.N., Park J., Xu L., Scott K.A., Clausi D.A., Fang Y., Jiang M., Taleghanidoozdoozan S., Brubacher N.C., Soleymani A., Gousseau Z., Smaczny M., Kowalski P., Komorowski J., Rijlaarsdam D., Van Rijn J.N., Jakobsen J., Rogers M.S.J., Hughes N., Zagon T., Solberg R., Longepe N., and Kreiner M.B, "The AutoICE Challenge", Cryosphere, vol. 18, pp. 3471-3494, . Get it here. Wang L., Lu D., Xu L., Robinson D.T., Tan W., Xie Q., Guan H., Chapman M.A., and Li J, "Individual tree species classification using low-density airborne multispectral LiDAR data via attribute-aware cross-branch tran", Remote Sensing of Environment, vol. 127, . Get it here. Soleymani A., Patel M., Xu L., and Scott K.A, "On the definition of the marginal ice zone: a case study with SAR and passive microwave data", Environmental Research Communications, vol. 6, . Get it here. Liu B., Kang J., Guan H., Zhi X., Yu Y., Ma L., Peng D., Xu L., and Wang D, "RTCNet: A novel real-time triple branch network for pavement crack semantic segmentation", International Journal of Applied Earth Observation and Geoinformation, vol. 127, . Get it here. Lu D., Xu L., Zhou J., Gao K., Gong Z., and Zhang D, "3D-UMamba: 3D U-Net with state space model for semantic segmentation of multi-source LiDAR point clouds", International Journal of Applied Earth Observation and Geoinformation, vol. 127, . Get it here. Taleghanidoozdoozan S., Xu L., and Clausi D.A, "Pyramid Fine and Coarse Attentions for Land Cover Classification from Compact Polarimetric SAR Imagery", Remote Sensing, vol. 17, . Get it here.
Conference PapersGao K., Lu D., He H., Xu L., Li J., and Gong Z, "Enhanced 3D Urban Scene Reconstruction and Point Cloud Densification using Gaussian Splatting and Google Earth Imagery", IEEE Transactions on Geoscience and Remote Sensing, 2025. Get it here. Chen Z., Chen Y., Gao L., Li D., Xu L., Li J., Wang C., and Chen Y, "DBARCT: Road Extraction Based on Double Branch Architecture and Random Block Coding Transformer", IEEE Geoscience and Remote Sensing Letters, 2024. Get it here. Sharma A., Czarnecki C., Chen Y., Xi P., Xu L., and Wong A, "How Much You Ate? Food Portion Estimation on Spoons", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2024. Get it here. 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), 2024. Get it here. 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), 2024. Get it here. De Loe L., Xu L., and Scott K.A, "Fusing Ice Surface Temperature with the AI4Arctic Dataset for Enhanced Sea Ice Concentration Estimation: A Preliminary Assessmen", Oceans Conference Record (IEEE), 2024. Get it here. Chen Z., Chen H., Gao L., Li D., Wang C., Xu L., Mollaee S., and Li J, "SECBNet: Semantic Segmentation Enhanced Color Balance Network for Optical Satellite Images", IEEE Transactions on Geoscience and Remote Sensing, 2024. Get it here. 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, 2023. Get it here. 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), 2023. Get it here. 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), 2023. Get it here. 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), 2023. Get it here. 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), 2023. Get it here. 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, 2023. Get it here. Zhou J., Chen K., Xu L., Dou Q., and Qin J, "Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation", Proceedings of the IEEE International Conference on Computer Vision, 2023. Get it here. He H., Yang K., Cai Y., Jiang Z., Yu Q., Zhao K., Wang J., Fatholahi S.N., Liu Y., Petrosians H.A., Hu B., Qing L., Zhang Z., Xu H., Li S., Gao K., Xu L., and Li J, "THE IMPACT OF DATA VOLUME ON PERFORMANCE OF DEPP LEARNING BASED BUILDING ROOFTOP EXTRACTION USING VERY HIGH SPATIAL RESOLUTION A", International Geoscience and Remote Sensing Symposium (IGARSS), 2021. Get it here. 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), 2020. Get it here. 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), 2020. Get it here. Nagi A.S., Minhas M.S., Xu L., and Scott K.A, "A Multi-Scale Technique to Detect Marginal Ice Zones Using Convolutional Neural Networks", International Geoscience and Remote Sensing Symposium (IGARSS), 2020. Get it here. Chen Y., Wu Y., Xu L., and Wong A, "Quantization in relative gradient angle domain for building polygon estimation", Proceedings - International Conference on Pattern Recognition, 2020. Get it here. Liu Q., Xu L., and Zhang Z, "The downscaling of the SMOS global sea surface salinity product based on MODIS data using a deep convolution network approach", ACM International Conference Proceeding Series, 2019. Get it here. Zhang Z., Xu L., and Liu Q, "The identification of impervious area from sentinel-2 imagery using a novel spectral spatial residual convolution neural network", ACM International Conference Proceeding Series, 2019. Get it here. Yan S., Xu L., and Wu R, "Automatic classification of glaciers from sentinel-2 imagery using a novel deep learning model", ACM International Conference Proceeding Series, 2019. Get it here. Cao Y., Xu L., and Clausi D, "Active learning for identifying marine oil spills using 10-year RADARSAT data", International Geoscience and Remote Sensing Symposium (IGARSS), 2016. Get it here. Yang L., Xu L., Sun X., Fang Y., Chen Y., and Peng J, "Denoising of hyperspectral imagery using an intrinsic spectral representation model with spatial smoothness constraint", International Geoscience and Remote Sensing Symposium (IGARSS), 2016. Get it here. Fang Y., Xu L., Sun X., Yang L., Chen Y., and Peng J, "A novel unsupervised classification approach for hyperspectral imagery based on spectral mixture model and MARKOV random field", International Geoscience and Remote Sensing Symposium (IGARSS), 2016. Get it here. Sun X., Xu L., Yang L., Chen Y., Fang Y., and Peng J, "Super-resolution reconstruction of hyperspectral imagery using an spectral unmixing based representational model", International Geoscience and Remote Sensing Symposium (IGARSS), 2016. Get it here. Xu L., Shafiee M.J., Wong A., Li F., Wang L., and Clausi D, "Oil spill candidate detection from SAR imagery using a thresholding-guided stochastic fully-connected conditional random field m", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2015. Get it here. Jiang M., Chen X., Xu L., and Clausi D.A, "Semi-Supervised Sea Ice Classification of SAR Imagery Based on Graph Convolutional Network", International Geoscience and Remote Sensing Symposium (IGARSS), 2022. Get it here.