1 citations · 1 across the 3 of their papers we have counts for
4 papers
Exploring Polarimetric Properties Preservation during Reconstruction of PolSAR images using Complex-valued Convolutional Neural Networks
Quentin Gabot, Joana Frontera-Pons, Jérémy Fix +2
The inherently complex-valued nature of Polarimetric SAR data necessitates using specialized algorithms capable of directly processing complex-valued representations. However, this…
Shift-Equivariant Complex-Valued Convolutional Neural Networks
Quentin Gabot, Teck-Yian Lim, Jérémy Fix +3
Convolutional neural networks have shown remarkable performance in recent years on various computer vision problems. However, the traditional convolutional neural network architect…
General Feature Extraction In SAR Target Classification: A Contrastive Learning Approach Across Sensor Types
M. Muzeau, J. Frontera-Pons, Chengfang Ren +1
The increased availability of SAR data has raised a growing interest in applying deep learning algorithms. However, the limited availability of labeled data poses a significant cha…
SAFE: a SAR Feature Extractor based on self-supervised learning and masked Siamese ViTs
Max Muzeau, Joana Frontera-Pons, Chengfang Ren +1
Due to its all-weather and day-and-night capabilities, Synthetic Aperture Radar imagery is essential for various applications such as disaster management, earth monitoring, change…