Katharine Andrea Scott
Orcid: 0000-0003-3922-8777
According to our database1,
Katharine Andrea Scott
authored at least 37 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Weakly Supervised Learning for Pixel-Level Sea Ice Concentration Extraction Using AI4Arctic Sea Ice Challenge Dataset.
IEEE Geosci. Remote. Sens. Lett., 2024
2023
Predicting Sea Ice Concentration With Uncertainty Quantification Using Passive Microwave and Reanalysis Data: A Case Study in Baffin Bay.
IEEE Trans. Geosci. Remote. Sens., 2023
Uncertainty-Incorporated Ice and Open Water Detection on Dual-Polarized SAR Sea Ice Imagery.
IEEE Trans. Geosci. Remote. Sens., 2023
Calibration of Uncertainty in Sea Ice Concentration Retrieval With an Auxiliary Prediction Interval Estimator.
IEEE Geosci. Remote. Sens. Lett., 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023
The Influence of Input Image Scale on Deep Learning-Based Beluga Whale Detection from Aerial Remote Sensing Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Uncertainty-Incorporated Arctic Sea Ice Concentration Estimation Using Heteroscedastic Bayesian Neural Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Incidence Angle Dependence of Texture Features From Dual Polarization Radarsat-2 Sea Ice Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Accounting for Label Errors When Training a Convolutional Neural Network to Estimate Sea Ice Concentration Using Operational Ice Charts.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Incorporating Aleatoric Uncertainties in Lake Ice Mapping Using RADARSAT-2 SAR Images and CNNs.
Remote. Sens., 2022
Uncertainty Analysis of Sea Ice and Open Water Classification on SAR Imagery Using a Bayesian CNN.
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022
2021
The Use of a Monte Carlo Markov Chain Method for Snow-Depth Retrievals: A Case Study Based on Airborne Microwave Observations and Emission Modeling Experiments of Tundra Snow.
IEEE Trans. Geosci. Remote. Sens., 2021
Evaluation of a Neural Network With Uncertainty for Detection of Ice and Water in SAR Imagery.
IEEE Trans. Geosci. Remote. Sens., 2021
Sea Ice Concentration Estimation: Using Passive Microwave and SAR Data With a U-Net and Curriculum Learning.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
RUF: Effective Sea Ice Floe Segmentation Using End-to-End RES-UNET-CRF with Dual Loss.
Remote. Sens., 2021
IEEE Geosci. Remote. Sens. Lett., 2021
Evaluation of a Neural Network on Sea Ice Concentration Estimation in MIZ Using Passive Microwave Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
A Multi-Scale Technique to Detect Marginal Ice Zones Using Convolutional Neural Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
Assessment of Categorical Triple Collocation for Sea Ice/Open Water Observations: Application to the Gulf of Saint Lawrence.
IEEE Trans. Geosci. Remote. Sens., 2019
Estimating Sea Ice Concentration From SAR: Training Convolutional Neural Networks With Passive Microwave Data.
IEEE Trans. Geosci. Remote. Sens., 2019
Passive Microwave Melt Onset Retrieval Based on a Variable Threshold: Assessment in the Canadian Arctic Archipelago.
Remote. Sens., 2019
2017
Improvement of Lake Ice Thickness Retrieval From MODIS Satellite Data Using a Thermodynamic Model.
IEEE Trans. Geosci. Remote. Sens., 2017
A modular ridge randomized neural network with differential evolutionary distributor applied to the estimation of sea ice thickness.
Soft Comput., 2017
Sea Ice Concentration Estimation during Freeze-Up from SAR Imagery Using a Convolutional Neural Network.
Remote. Sens., 2017
A hierarchical selective ensemble randomized neural network hybridized with heuristic feature selection for estimation of sea-ice thickness.
Appl. Intell., 2017
Sea ice and open water classification of sar imagery using cnn-based transfer learning.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Ice concentration estimation in the gulf of St. Lawrence using fully convolutional neural network.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
2016
Sea Ice Concentration Estimation During Melt From Dual-Pol SAR Scenes Using Deep Convolutional Neural Networks: A Case Study.
IEEE Trans. Geosci. Remote. Sens., 2016
Automatic Detection of the Ice Edge in SAR Imagery Using Curvelet Transform and Active Contour.
Remote. Sens., 2016
2015
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2014
An Assessment of Sea-Ice Thickness Along the Labrador Coast From AMSR-E and MODIS Data for Operational Data Assimilation.
IEEE Trans. Geosci. Remote. Sens., 2014
Sea Ice Surface Temperature Estimation Using MODIS and AMSR-E Data Within a Guided Variational Model Along the Labrador Coast.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014
Automatic feature learning of SAR images for sea ice concentration estimation using feed-forward neural networks.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
A heuristic method to use ice andwater probabilities from SAR imagery to improve ice concentration estimates.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
2013
Continuous sea ice thickness estimation using a joint MODIS and AMSR-E guided variational model.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013