Continuous sea ice thickness estimation using a joint MODIS and AMSR-E guided variational model. - Alexander Wong; Katharine Andrea Scott; Edward Li; Robert Amelard (IGARSS, 2013)

A heuristic method to use ice andwater probabilities from SAR imagery to improve ice concentration estimates. - Zahra Ashouri; Katharine Andrea Scott (IGARSS, 2014)

Automatic feature learning of SAR images for sea ice concentration estimation using feed-forward neural networks. - Lei Wang 038; Katharine Andrea Scott; David A. Clausi (IGARSS, 2014)

Sea Ice Surface Temperature Estimation Using MODIS and AMSR-E Data Within a Guided Variational Model Along the Labrador Coast. - Katharine Andrea Scott; Edward Li; Alexander Wong (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

An Assessment of Sea-Ice Thickness Along the Labrador Coast From AMSR-E and MODIS Data for Operational Data Assimilation. - Katharine Andrea Scott; Mark Buehner; Tom Carrieres (IEEE Trans. Geosci. Remote. Sens., 2014)

Curvelet based feature extraction of dynamic ice from SAR imagery. - Jiange Liu; Katharine Andrea Scott; Paul W. Fieguth (IGARSS, 2015)

Automatic Detection of the Ice Edge in SAR Imagery Using Curvelet Transform and Active Contour. - Jiange Liu; Katharine Andrea Scott; Ahmed Gawish; Paul W. Fieguth (Remote. Sens., 2016)

Sea Ice Concentration Estimation During Melt From Dual-Pol SAR Scenes Using Deep Convolutional Neural Networks: A Case Study. - Lei Wang 038; Katharine Andrea Scott; Linlin Xu; David A. Clausi (IEEE Trans. Geosci. Remote. Sens., 2016)

Ice concentration estimation in the gulf of St. Lawrence using fully convolutional neural network. - Lei Wang 038; Katharine Andrea Scott; David A. Clausi; Yan Xu (IGARSS, 2017)

Sea ice and open water classification of sar imagery using cnn-based transfer learning. - Yan Xu; Katharine Andrea Scott (IGARSS, 2017)

A hierarchical selective ensemble randomized neural network hybridized with heuristic feature selection for estimation of sea-ice thickness. - Ahmad Mozaffari; Katharine Andrea Scott; Nasser L. Azad; Shoja'eddin Chenouri (Appl. Intell., 2017)

Sea Ice Concentration Estimation during Freeze-Up from SAR Imagery Using a Convolutional Neural Network. - Lei Wang 038; Katharine Andrea Scott; David A. Clausi (Remote. Sens., 2017)

A modular ridge randomized neural network with differential evolutionary distributor applied to the estimation of sea ice thickness. - Ahmad Mozaffari; Katharine Andrea Scott; Shoja'eddin Chenouri; Nasser L. Azad (Soft Comput., 2017)

Improvement of Lake Ice Thickness Retrieval From MODIS Satellite Data Using a Thermodynamic Model. - Homa Kheyrollah Pour; Claude R. Duguay; Katharine Andrea Scott; Kyung-Kuk Kang (IEEE Trans. Geosci. Remote. Sens., 2017)

Passive Microwave Melt Onset Retrieval Based on a Variable Threshold: Assessment in the Canadian Arctic Archipelago. - Stephen Marshall; Katharine Andrea Scott; Randall K. Scharien (Remote. Sens., 2019)

Estimating Sea Ice Concentration From SAR: Training Convolutional Neural Networks With Passive Microwave Data. - Colin L. V. Cooke; Katharine Andrea Scott (IEEE Trans. Geosci. Remote. Sens., 2019)

Assessment of Categorical Triple Collocation for Sea Ice/Open Water Observations: Application to the Gulf of Saint Lawrence. - Katharine Andrea Scott (IEEE Trans. Geosci. Remote. Sens., 2019)

A Multi-Scale Technique to Detect Marginal Ice Zones Using Convolutional Neural Networks. - Anmol Sharan Nagi; Manpreet Singh Minhas; Linlin Xu; Katharine Andrea Scott (IGARSS, 2020)

Identifying Sea Ice Ridging in SAR Imagery Using Convolutional Neural Networks. - Daniel Sola; Anmol Sharan Nagi; Katharine Andrea Scott (IGARSS, 2020)

Evaluation of a Neural Network on Sea Ice Concentration Estimation in MIZ Using Passive Microwave Data. - Armina Soleymani; Katharine Andrea Scott (IGARSS, 2021)

Extended Categorical Triple Collocation for Evaluating Sea Ice/Open Water Data Sets. - Katharine Andrea Scott (IEEE Geosci. Remote. Sens. Lett., 2021)

RUF: Effective Sea Ice Floe Segmentation Using End-to-End RES-UNET-CRF with Dual Loss. - Anmol Sharan Nagi; Devinder Kumar; Daniel Sola; Katharine Andrea Scott (Remote. Sens., 2021)

Sea Ice Concentration Estimation: Using Passive Microwave and SAR Data With a U-Net and Curriculum Learning. - Keerthijan Radhakrishnan; Katharine Andrea Scott; David A. Clausi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Evaluation of a Neural Network With Uncertainty for Detection of Ice and Water in SAR Imagery. - Nazanin Asadi; Katharine Andrea Scott; Alexander S. Komarov; Mark Buehner; David A. Clausi (IEEE Trans. Geosci. Remote. Sens., 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. - Nastaran Saberi; Richard E. J. Kelly; Jinmei Pan; Michael Durand; Joslin Goh; Katharine Andrea Scott (IEEE Trans. Geosci. Remote. Sens., 2021)

Uncertainty Analysis of Sea Ice and Open Water Classification on SAR Imagery Using a Bayesian CNN. - Xinwei Chen; Katharine Andrea Scott; David A. Clausi (ICPR Workshops (3), 2022)

Incorporating Aleatoric Uncertainties in Lake Ice Mapping Using RADARSAT-2 SAR Images and CNNs. - Nastaran Saberi; Katharine Andrea Scott; Claude R. Duguay (Remote. Sens., 2022)

Efficient Shallow Network for River Ice Segmentation. - Daniel Sola; Katharine Andrea Scott (Remote. Sens., 2022)

Accounting for Label Errors When Training a Convolutional Neural Network to Estimate Sea Ice Concentration Using Operational Ice Charts. - Manveer Singh Tamber; Katharine Andrea Scott; Leif Toudal Pedersen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Incidence Angle Dependence of Texture Features From Dual Polarization Radarsat-2 Sea Ice Imagery. - Fernando J. Pena Cantu; Xinwei Chen; Linlin Xu; Max Ian A. Manning; Katharine Andrea Scott; David A. Clausi (IGARSS, 2023)

Uncertainty-Incorporated Arctic Sea Ice Concentration Estimation Using Heteroscedastic Bayesian Neural Networks. - Xinwei Chen; Ray Valencia; Armina Soleymani; Katharine Andrea Scott; Mingzhe Jiang; Linln Xu; David A. Clausi (IGARSS, 2023)

The Influence of Input Image Scale on Deep Learning-Based Beluga Whale Detection from Aerial Remote Sensing Imagery. - Muhammed Patel; Xinwei Chen; Linlin Xu; Fernando J. Pena Cantu; Javier Noa Turnes; Neil C. Brubacher; David A. Clausi; Katharine Andrea Scott (IGARSS, 2023)

Sea ice classification with dual-polarized SAR imagery: a hierarchical pipeline. - Xinwei Chen; Katharine Andrea Scott; Mingzhe Jiang; Yuan Fang 003; Linlin Xu; David A. Clausi (WACV (Workshops), 2023)

Calibration of Uncertainty in Sea Ice Concentration Retrieval With an Auxiliary Prediction Interval Estimator. - Xinwei Chen; Ray Valencia; Armina Soleymani; Linlin Xu; Katharine Andrea Scott (IEEE Geosci. Remote. Sens. Lett., 2023)

Uncertainty-Incorporated Ice and Open Water Detection on Dual-Polarized SAR Sea Ice Imagery. - Xinwei Chen; Katharine Andrea Scott; Linlin Xu; Mingzhe Jiang; Yuan Fang 003; David A. Clausi (IEEE Trans. Geosci. Remote. Sens., 2023)

Predicting Sea Ice Concentration With Uncertainty Quantification Using Passive Microwave and Reanalysis Data: A Case Study in Baffin Bay. - Xinwei Chen; Ray Valencia; Armina Soleymani; Katharine Andrea Scott (IEEE Trans. Geosci. Remote. Sens., 2023)

Satellite Collision Avoidance Maneuver Planning in Low Earth Orbit Using Proximal Policy Optimization. - Sajjad Kazemi; Nasser L. Azad; Katharine Andrea Scott; Haroon B. Oqab; George B. Dietrich (CEC, 2024)

Enhancing Sea Ice Type Classification from AI4Arctic Dataset Based On Regional Loss Representations. - Xinwei Chen; Muhammed Patel; Linlin Xu; Katharine Andrea Scott; David A. Clausi; Weimin Huang 001 (IGARSS, 2024)

A comparative study of data input selection for deep learning-based automated sea ice mapping. - Xinwei Chen; Fernando J. Pena Cantu; Muhammed Patel; Linlin Xu; Neil C. Brubacher; Katharine Andrea Scott; David A. Clausi (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Region-level labels in ice charts can produce pixel-level segmentation for Sea Ice types. - Muhammed Patel; Xinwei Chen; Linlin Xu; Yuhao Chen 001; Katharine Andrea Scott; David A. Clausi (CoRR, 2024)

Weakly Supervised Learning for Pixel-Level Sea Ice Concentration Extraction Using AI4Arctic Sea Ice Challenge Dataset. - Xinwei Chen; Muhammed Patel; Linlin Xu; Yuhao Chen 001; Katharine Andrea Scott; David A. Clausi (IEEE Geosci. Remote. Sens. Lett., 2024)

Assessing Ice Break-Up Trends in Slave River Delta through Satellite Observations and Random Forest Modeling. - Ida Moalemi; Homa Kheyrollah Pour; Katharine Andrea Scott (Remote. Sens., 2024)

High Resolution Sea Ice Concentration Using a Sentinel-1 U-Net Ice-Water Classifier. - Jozef Rusin; Anthony P. Doulgeris; Katharine Andrea Scott; Thomas Lavergne; Catherine Taelman (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Uncertainty Estimation of Lake Ice Cover Maps From a Random Forest Classifier Using MODIS TOA Reflectance Data. - Nastaran Saberi; Mohammad Hossein Shaker; Claude R. Duguay; Katharine Andrea Scott; Eyke Hüllermeier (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

A Weakly Supervised Learning Approach for Sea Ice Stage of Development Classification From AI4Arctic Sea Ice Challenge Dataset. - Xinwei Chen; Muhammed Patel; Linlin Xu; Yuhao Chen 001; Katharine Andrea Scott; David A. Clausi (IEEE Trans. Geosci. Remote. Sens., 2025)