82 citations · 153 across the 22 of their papers we have counts for
6 papers · 1 filter
Feature-Space Oversampling for Addressing Class Imbalance in SAR Ship Classification
Ch Muhammad Awais, Marco Reggiannini, Davide Moroni +1
SAR ship classification faces the challenge of long-tailed datasets, which complicates the classification of underrepresented classes. Oversampling methods have proven effective in…
A Classification-Aware Super-Resolution Framework for Ship Targets in SAR Imagery
Ch Muhammad Awais, Marco Reggiannini, Davide Moroni +1
High-resolution imagery plays a critical role in improving the performance of visual recognition tasks such as classification, detection, and segmentation. In many domains, includi…
A Multi-Modal Spatial Risk Framework for EV Charging Infrastructure Using Remote Sensing
Oktay Karakuş, Padraig Corcoran
Electric vehicle (EV) charging infrastructure is increasingly critical to sustainable transport systems, yet its resilience under environmental and infrastructural stress remains u…
Multi-modal Data Fusion and Deep Ensemble Learning for Accurate Crop Yield Prediction
Akshay Dagadu Yewle, Laman Mirzayeva, Oktay Karakuş
This study introduces RicEns-Net, a novel Deep Ensemble model designed to predict crop yields by integrating diverse data sources through multimodal data fusion techniques. The res…
Patch-GAN Transfer Learning with Reconstructive Models for Cloud Removal
Wanli Ma, Oktay Karakus, Paul L. Rosin
Cloud removal plays a crucial role in enhancing remote sensing image analysis, yet accurately reconstructing cloud-obscured regions remains a significant challenge. Recent advancem…
Integrating Semi-Supervised and Active Learning for Semantic Segmentation
Wanli Ma, Oktay Karakus, Paul L. Rosin
In this paper, we propose a novel active learning approach integrated with an improved semi-supervised learning framework to reduce the cost of manual annotation and enhance model…