14 citations · 19 across the 5 of their papers we have counts for
5 papers
Partial Label Learning with Focal Loss for Sea Ice Classification Based on Ice Charts
Behzad Vahedi, Benjamin Lucas, Farnoush Banaei-Kashani +4
Sea ice, crucial to the Arctic and Earth's climate, requires consistent monitoring and high-resolution mapping. Manual sea ice mapping, however, is time-consuming and subjective, p…
Comparison of Cross-Entropy, Dice, and Focal Loss for Sea Ice Type Segmentation
Rafael Pires de Lima, Behzad Vahedi, Morteza Karimzadeh
Up-to-date sea ice charts are crucial for safer navigation in ice-infested waters. Recently, Convolutional Neural Network (CNN) models show the potential to accelerate the generati…
Deep Learning on SAR Imagery: Transfer Learning Versus Randomly Initialized Weights
Morteza Karimzadeh, Rafael Pires de Lima
Deploying deep learning on Synthetic Aperture Radar (SAR) data is becoming more common for mapping purposes. One such case is sea ice, which is highly dynamic and rapidly changes a…
Enhancing sea ice segmentation in Sentinel-1 images with atrous convolutions
Rafael Pires de Lima, Behzad Vahedi, Nick Hughes +3
Due to the growing volume of remote sensing data and the low latency required for safe marine navigation, machine learning (ML) algorithms are being developed to accelerate sea ice…
Alternatives to Contour Visualizations for Power Systems Data
Isaiah Lyons-Galante, Morteza Karimzadeh, Samantha Molnar +2
Electrical grids are geographical and topological structures whose voltage states are challenging to represent accurately and efficiently for visual analysis. The current common pr…