Follow
Lincoln (Linlin) Xu
Lincoln (Linlin) Xu
Assistant Professor, Geomatics Engineering, University of Calgary
Verified email at ucalgary.ca - Homepage
Title
Cited by
Cited by
Year
Sea Ice Concentration Estimation During Melt From Dual-Pol SAR Scenes Using Deep Convolutional Neural Networks: A Case Study
L Wang, KA Scott, L Xu, DA Clausi
IEEE Transactions on Geoscience and Remote Sensing 54 (8), 4524-4533, 2016
2122016
NeRF: Neural Radiance Field in 3D Vision, A Comprehensive Review
K Gao, Y Gao, H He, D Lu, L Xu, J Li
arXiv preprint arXiv:2210.00379, 2022
1842022
A comparative study of different classification techniques for marine oil spill identification using RADARSAT-1 imagery
L Xu, J Li, A Brenning
Remote Sensing of Environment 141, 14-23, 2014
1712014
Detecting global urban expansion over the last three decades using a fully convolutional network
L He, C., Liu, Z., Gou, S., Zhang, Q., Zhang, J., & Xu
Environmental Research Letters, 2018
159*2018
A hybrid CNN-GRU model for predicting soil moisture in maize root zone
J Yu, X Zhang, L Xu, J Dong, L Zhangzhong
Agricultural Water Management 245, 106649, 2021
1122021
SAR Image Denoising via Clustering-Based Principal Component Analysis
L Xu, J Li, Y Shu, J Peng
IEEE Transactions on Geoscience and Remote Sensing 52 (11), 6858-6869, 2014
802014
3DCTN: 3D convolution-transformer network for point cloud classification
D Lu, Q Xie, K Gao, L Xu, J Li
IEEE Transactions on Intelligent Transportation Systems 23 (12), 24854-24865, 2022
772022
ST-IRGS: A Region-Based Self-Training Algorithm Applied to Hyperspectral Image Classification and Segmentation
F Li, DA Clausi, L Xu, A Wong
IEEE Transactions on Geoscience and Remote Sensing 56 (1), 3 - 16, 2017
692017
Hyperspectral Image Classification With Limited Labeled Training Samples Using Enhanced Ensemble Learning and Conditional Random Fields
F Li, L Xu, P Siva, A Wong, D Clausi
IEEE Journal of Selected Topics in Applied Earth observations and Remote …, 2015
672015
Transformers in 3d point clouds: A survey
D Lu, Q Xie, M Wei, K Gao, L Xu, J Li
arXiv preprint arXiv:2205.07417, 2022
622022
Assessment of machine learning classifiers for global lake ice cover mapping from MODIS TOA reflectance data
Y Wu, CR Duguay, L Xu
Remote Sensing of Environment 253, 112206, 2021
602021
Hyperspectral Image Denoising Using a Spatial–Spectral Monte Carlo Sampling Approach
L Xu, F Li, A Wong, D Clausi
IEEE Journal of Selected Topics on Applied Earth Observations and Remote …, 2015
442015
Semiautomated Segmentation of Sentinel-1 SAR Imagery for Mapping Sea Ice in Labrador Coast
W Tan, J Li, L Xu, MA Chapman
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018
422018
Bayesian Classification of Hyperspectral Imagery Based on Probabilistic Sparse Representation and Markov Random Field
L Xu, J Li
IEEE Geoscience and Remote Sensing Letters 11 (4), 823 - 827, 2014
402014
Evaluation of the MODIS LAI/FPAR Algorithm Based on 3D-RTM Simulations: A Case Study of Grassland
J Pu, K Yan, G Zhou, Y Lei, Y Zhu, D Guo, H Li, L Xu, Y Knyazikhin, ...
Remote Sensing 12 (20), 3391, 2020
382020
Contextual Classification of Sea-Ice Types Using Compact Polarimetric SAR Data
M Ghanbari, DA Clausi, L Xu, M Jiang
IEEE Transactions on Geoscience and Remote Sensing 57 (10), 7476-7491, 2019
382019
TPE-CatBoost: An adaptive model for soil moisture spatial estimation in the main maize-producing areas of China with multiple environment covariates
J Yu, W Zheng, L Xu, F Meng, J Li, L Zhangzhong
Journal of Hydrology 613, 128465, 2022
302022
A PSO-XGBoost Model for Estimating Daily Reference Evapotranspiration in the Solar Greenhouse.
J Yu, W Zheng, L Xu, L Zhangzhong, G Zhang, F Shan
Intelligent Automation & Soft Computing 26 (5), 2020
292020
A Novel Bayesian Spatial–Temporal Random Field Model Applied to Cloud Detection From Remotely Sensed Imagery
L Xu, A Wong, DA Clausi
IEEE Transactions on Geoscience and Remote Sensing 55 (9), 4913-4924, 2017
292017
Oil Spill Candidate Detection From SAR Imagery Using a Thresholding-Guided Stochastic Fully-Connected Conditional Random Field Model
L Xu, M Shafiee, A Wong, F Li, L Wang, D Clausi
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
292015
The system can't perform the operation now. Try again later.
Articles 1–20