Linlin Xu

发表

A comparative study of different classification techniques for marine oil spill identification using RADARSAT-1 imagery

Linlin Xu, Alexander Brenning, Jonathan Li, 2014 .

Automatic Classification of Glaciers from Sentinel-2 Imagery Using A Novel Deep Learning Model

Linlin Xu, Shuai Yan, Rui Wu, 2019, ICAIP.

Ice concentration estimation from dual-polarized SAR images using deep convolutional neural networks

David A Clausi, Linlin Xu, Lei Wang, 2015 .

A novel spectral-temporal Bayesian unmixing algorithm with spatial prior for Sentinel-2 time series

Linlin Xu, R. Zhuo, Yuan Fang, 2022, Remote Sensing Letters.

Assessment of machine learning classifiers for global lake ice cover mapping from MODIS TOA reflectance data

C. Duguay, Linlin Xu, Yuhao Wu, 2020, Remote Sensing of Environment.

Mapping Sea Ice from Satellite SAR Imagery

Jonathan Li, Linlin Xu, 2015 .

WATERBODIES EXTRACTION FROM LANDSAT 8-OLI IMAGERY USING A WATER INDEXS-GUIED STOCHASTIC FULLY-CONNECTED CONDITIONAL RANDOM FIELD MODEL AND THE SUPPORT VECTOR MACHINE

Linlin Xu, Xiaohan Wang, 2018 .

The Downscaling of the SMOS Global Sea Surface Salinity Product Based on MODIS Data Using a Deep Convolution Network Approach

Linlin Xu, Qixin Liu, Zhiwen Zhang, 2019, ICAIP 2019.

MOISTURE RETRIEVAL USING CONVOLUTIONAL NEURAL NETWORKS : APPLICATION TO PASSIVE MICROWAVE REMOTE SENSING

Linlin Xu, Zhongzheng Hu, Bo-chun Yu, 2018 .

Multi-Temporal Landsat-8 Images for Retrieval and Broad Scale Mapping of Soil Copper Concentration Using Empirical Models

David A Clausi, Linlin Xu, Yuan Fang, 2022, Remote. Sens..

Detecting global urban expansion over the last three decades using a fully convolutional network

Zhifeng Liu, Linlin Xu, Chunyang He, 2019, Environmental Research Letters.

Transformers in 3D Point Clouds: A Survey

Linlin Xu, M. Wei, Jonathan Li, 2022, ArXiv.

Bayesian Subpixel Mapping of Hyperspectral Imagery via Discrete Endmember Variability Mixture Model and Markov Random Field

Junhuan Peng, Linlin Xu, R. Zhuo, 2022, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Semisupervised Hyperspectral Image Classification via Superpixel-Based Graph Regularization With Local and Nonlocal Features

Junhuan Peng, Linlin Xu, Yuebin Wang, 2022, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Sea Ice-Water Classification of RADARSAT-2 Imagery Based on Residual Neural Networks (ResNet) with Regional Pooling

David A Clausi, Linlin Xu, Mingzhe Jiang, 2022, Remote. Sens..

NeRF: Neural Radiance Field in 3D Vision, A Comprehensive Review

Linlin Xu, Jonathan Li, K. Gao, 2022, ArXiv.

Transformers in 3D Point Clouds: A Survey

Linlin Xu, M. Wei, Jonathan Li, 2022, ArXiv.

Oil Spill Candidate Detection Using a Conditional Random Field Model on Simulated Compact Polarimetric Imagery

David A Clausi, Linlin Xu, Saeid Taleghanidoozdoozan, 2022, Canadian Journal of Remote Sensing.

Super-resolution reconstruction of hyperspectral imagery using an spectral unmixing based representational model

Xiao Sun, Linlin Xu, Yuan Fang, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Weakly Supervised Classification of Remotely Sensed Imagery Using Label Constraint and Edge Penalty

David A. Clausi, Alexander Wong, Linlin Xu, 2017, IEEE Transactions on Geoscience and Remote Sensing.

A Spatial-Temporal Depth-Wise Residual Network for Crop Sub-Pixel Mapping from MODIS Images

Linlin Xu, R. Zhuo, Yuan Fang, 2022, Remote. Sens..

A Deep Learning Approach for Multi-Depth Soil Water Content Prediction in Summer Maize Growth Period

Jingxin Yu, Song Tang, Lili Zhangzhong, 2020, IEEE Access.

ST-IRGS: A Region-Based Self-Training Algorithm Applied to Hyperspectral Image Classification and Segmentation

David A. Clausi, Alexander Wong, Linlin Xu, 2018, IEEE Transactions on Geoscience and Remote Sensing.

A semi-supervised approach for ice-water classification using dual-polarization SAR satellite imagery

David A. Clausi, Lei Wang, Linlin Xu, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Hyperspectral Image Classification With Limited Labeled Training Samples Using Enhanced Ensemble Learning and Conditional Random Fields

David A. Clausi, Alexander Wong, Linlin Xu, 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A Comparative Study of Deep Learning Approaches to Rooftop Detection in Aerial Images

Hongjie He, Jonathan Li, Linlin Xu, 2021 .

Hyperspectral Image Denoising Using a Spatial–Spectral Monte Carlo Sampling Approach

David A. Clausi, Alexander Wong, Linlin Xu, 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Semiautomated Segmentation of Sentinel-1 SAR Imagery for Mapping Sea Ice in Labrador Coast

Jonathan Li, Linlin Xu, Michael A. Chapman, 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Deep convolutional neural network with random field model for lake ice mapping from Sentinel-1 imagery

C. Duguay, Linlin Xu, Rui Wu, 2021, International Journal of Remote Sensing.

Unsupervised Bayesian Classification of a Hyperspectral Image Based on the Spectral Mixture Model and Markov Random Field

David A. Clausi, Alexander Wong, Linlin Xu, 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A Novel Bayesian Spatial–Temporal Random Field Model Applied to Cloud Detection From Remotely Sensed Imagery

David A. Clausi, Alexander Wong, Linlin Xu, 2017, IEEE Transactions on Geoscience and Remote Sensing.

Global chlorophyll-a concentration estimation from moderate resolution imaging spectroradiometer using convolutional neural networks

Linlin Xu, Bowen Yu, Junhuan Peng, 2020, Journal of Applied Remote Sensing.

A Depthwise Separable Fully Convolutional ResNet With ConvCRF for Semisupervised Hyperspectral Image Classification

Fang Wang, Yuxian Wang, Kui Li, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

NeRF: Neural Radiance Field in 3D Vision, A Comprehensive Review

Linlin Xu, Jonathan Li, K. Gao, 2022, arXiv.org.

Quantization in Relative Gradient Angle Domain For Building Polygon Estimation pdf

Yifan Wu, Alexander Wong, Linlin Xu, 2020, 2020 25th International Conference on Pattern Recognition (ICPR).

3DPCT: 3D Point Cloud Transformer with Dual Self-attention

Linlin Xu, Qian Xie, K. Gao, 2022, ArXiv.

NeRF: Neural Radiance Field in 3D Vision, A Comprehensive Review

Linlin Xu, Jonathan Li, K. Gao, 2022, 2210.00379.

3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification

Jonathan Li, Linlin Xu, Qian Xie, 2022, IEEE Transactions on Intelligent Transportation Systems.

Depthwise Separable ResNet in the MAP Framework for Hyperspectral Image Classification

Fang Wang, Kui Li, Wei Wu, 2022, IEEE Geoscience and Remote Sensing Letters.

SPECTRAL UNMIXING ANALYSIS OF TIME SERIES LANDSAT 8 IMAGES

Linlin Xu, Y. Chen, R. Zhuo, 2018 .

Mixture of Latent Variable Models for Remotely Sensed Image Processing

Linlin Xu, Linlin Xu, 2014 .

Evaluation of the MODIS LAI/FPAR Algorithm Based on 3D-RTM Simulations: A Case Study of Grassland

Ranga B. Myneni, Yuri Knyazikhin, Linlin Xu, 2020, Remote. Sens..

Sea ice classification with dual-polarized SAR imagery: a hierarchical pipeline

David A Clausi, Linlin Xu, K. A. Scott, 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW).

Uncertainty-Incorporated Ice and Open Water Detection on Dual-Polarized SAR Sea Ice Imagery

David A Clausi, Xinwei Chen, Linlin Xu, 2023, IEEE Transactions on Geoscience and Remote Sensing.

Semi-Supervised Sea Ice Classification of SAR Imagery Based on Graph Convolutional Network

David A Clausi, Xinwei Chen, Linlin Xu, 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

Sea-Ice Mapping of RADARSAT-2 Imagery by Integrating Spatial Contexture With Textural Features

David A Clausi, Linlin Xu, Mingzhe Jiang, 2022, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

CP-IRGS: A Region-Based Segmentation of Multilook Complex Compact Polarimetric SAR Data

David A. Clausi, David A Clausi, Linlin Xu, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A Multi-Scale Technique to Detect Marginal Ice Zones Using Convolutional Neural Networks

Manpreet Singh Minhas, Anmol Sharan Nagi, Linlin Xu, 2020, IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium.

Unsupervised Segmentation of Multilook Compact Polarimetric Sar Data based on Complex Wishart Distribution

David A Clausi, Linlin Xu, Mingzhe Jiang, 2020, IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium.

Contextual Classification of Sea-Ice Types Using Compact Polarimetric SAR Data

Linlin Xu, Mingzhe Jiang, David A. Clausi, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Sea Ice Concentration Estimation During Melt From Dual-Pol SAR Scenes Using Deep Convolutional Neural Networks: A Case Study

David A. Clausi, Lei Wang, Linlin Xu, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Unsupervised Bayesian Subpixel Mapping of Hyperspectral Imagery Based on Band-Weighted Discrete Spectral Mixture Model and Markov Random Field

David A. Clausi, Alexander Wong, Linlin Xu, 2021, IEEE Geoscience and Remote Sensing Letters.

Combined Nonlocal Spatial Information and Spatial Group Sparsity in NMF for Hyperspectral Unmixing

Bowen Yu, Linlin Xu, Yuebin Wang, 2020, IEEE Geoscience and Remote Sensing Letters.

BCUN: Bayesian Fully Convolutional Neural Network for Hyperspectral Spectral Unmixing

David A Clausi, Linlin Xu, R. Zhuo, 2022, IEEE Transactions on Geoscience and Remote Sensing.

DML-GANR: Deep Metric Learning With Generative Adversarial Network Regularization for High Spatial Resolution Remote Sensing Image Retrieval

Lihua Li, Yun Cao, Kai Yan, 2020, IEEE Transactions on Geoscience and Remote Sensing.

Monitoring and Stability Analysis of the Deformation in the Woda Landslide Area in Tibet, China by the DS-InSAR Method

Junhuan Peng, Honglei Yang, Linlin Xu, 2022, Remote. Sens..

Retrieval of ice/water observations from synthetic aperture radar imagery for use in lake ice data assimilation

Linlin Xu, K. A. Scott, H. K. Pour, 2020 .

3D RECONSTRUCTION FROM UAV-BASED HYPERSPECTRAL IMAGES

L. Xu, J. Peng, L. Liu, 2018 .

Multispectral Images Pan-Sharpening Based on Atrous Convolution Network and Deep Residual Network

Tiantian Wang, Linlin Xu, Longshan Yang, 2019, ICAIP.

Glacier classification from Sentinel-2 imagery using spatial-spectral attention convolutional model

Dehai Zhu, Wenju Yun, Longshan Yang, 2021, Int. J. Appl. Earth Obs. Geoinformation.

Extraction of Endmembers From Hyperspectral Images Using A Weighted Fuzzy Purified-Means Clustering Model

David A. Clausi, Alexander Wong, Linlin Xu, 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Beluga whale detection in the Cumberland Sound Bay using convolutional neural networks

David A Clausi, Peter Q. Lee, Linlin Xu, 2021 .

Exploring the Potential of Active Learning for Automatic Identification of Marine Oil Spills Using 10-Year (2004-2013) RADARSAT Data

David A. Clausi, Linlin Xu, Yongfeng Cao, 2017, Remote. Sens..

Active learning for identifying marine oil spills using 10-year RADARSAT data

David A. Clausi, Linlin Xu, Yongfeng Cao, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Semisupervised Hyperspectral Image Classification via Superpixel-Based Graph Regularization With Local and Nonlocal Features

Junhuan Peng, Linlin Xu, Yuebin Wang, 2022 .

Intrinsic Representation of Hyperspectral Imagery for Unsupervised Feature Extraction

David A. Clausi, Alexander Wong, Linlin Xu, 2016, IEEE Transactions on Geoscience and Remote Sensing.

SAR Image Denoising via Clustering-Based Principal Component Analysis

Jonathan Li, Linlin Xu, Junhuan Peng, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation

Jin Qin, Linlin Xu, Kai Chen, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Denoising of hyperspectral imagery using an intrinsic spectral representation model with spatial smoothness constraint

Xiao Sun, Linlin Xu, Yuan Fang, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Comparative Analysis of Gait Speed Estimation Using Wideband and Narrowband Radars, Thermal Camera, and Motion Tracking Suit Technologies

Doojin Lee, George Shaker, Jing Wei, 2020, J. Heal. Informatics Res..

Spatial–Spectral ConvNeXt for Hyperspectral Image Classification

Linlin Xu, Yimin Zhu, Wenlong Zhong, 2023, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Unsupervised Bayesian Subpixel Mapping Autoencoder Network for Hyperspectral Images

David A Clausi, Linlin Xu, Yuan Fang, 2023, IEEE Transactions on Geoscience and Remote Sensing.

Region-Based Sea Ice Mapping Using Compact Polarimetric Synthetic Aperture Radar Imagery with Learned Features and Contextual Information

David A Clausi, Linlin Xu, Saeid Taleghanidoozdoozan, 2023, Remote. Sens..

Vegetation-Ice-Bare Land Cover Conversion in the Oceanic Glacial Region of Tibet Based on Multiple Machine Learning Classifications

Linlin Xu, Kui Li, Fangfang Yang, 2020, Remote. Sens..

Oil spill candidate detection from SAR imagery using a thresholding-guided stochastic fully-connected conditional random field model

David A. Clausi, Lei Wang, Alexander Wong, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

TAL: Topography-Aware Multi-Resolution Fusion Learning for Enhanced Building Footprint Extraction

David A Clausi, Linlin Xu, Alexander Wong, 2022, IEEE Geoscience and Remote Sensing Letters.

Incidence Angle Dependence of Texture Features From Dual Polarization Radarsat-2 Sea Ice Imagery

David A Clausi, Linlin Xu, Xinwei Chen, 2023, IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium.

Local and Global Spatial Information for Land Cover Semisupervised Classification of Complex Polarimetric SAR Data

David A Clausi, Linlin Xu, M. Ghanbari, 2023, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.