2 papers
cs.CV2025
U-NetMN and SegNetMN: Modified U-Net and SegNet models for bimodal SAR image segmentation
Marwane Kzadri, Franco Alberto Cardillo, Nanée Chahinian +3
Segmenting Synthetic Aperture Radar (SAR) images is crucial for many remote sensing applications, particularly water body detection. However, deep learning-based segmentation model…
cs.CV2025
Not every day is a sunny day: Synthetic cloud injection for deep land cover segmentation robustness evaluation across data sources
Sara Mobsite, Renaud Hostache, Laure Berti Equille +2
Supervised deep learning for land cover semantic segmentation (LCS) relies on labeled satellite data. However, most existing Sentinel-2 datasets are cloud-free, which limits their…