Synthetic aperture radar (SAR) for ocean: A review

RM Asiyabi, A Ghorbanian, SN Tameh… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Oceans cover approximately 71% of the Earth's surface and provide numerous services to
the environment and humans. Precise, real-time, and large-scale monitoring of the …

Complex-valued end-to-end deep network with coherency preservation for complex-valued SAR data reconstruction and classification

RM Asiyabi, M Datcu, A Anghel… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Deep learning models have achieved remarkable success in many different fields and
attracted many interests. Several researchers attempted to apply deep learning models to …

Complex-Valued Autoencoder for Multi-Polarization SLC SAR Data Compression with Side Information

RM Asiyabi, A Anghel, P Rizzoli… - IGARSS 2023-2023 …, 2023 - ieeexplore.ieee.org
Recent advances in Synthetic Aperture Radar (SAR) sensors have enabled the acquisition
of very high-resolution images with wide swaths, large bandwidth and in multiple …

[PDF][PDF] Preserving polarimetric properties in PolSAR image reconstruction through Complex-Valued Auto-Encoders

Q Gabot, J Fix, J Frontera-Pons, C Ren… - RADAR …, 2024 - jeanphilippeovarlez.com
The complex-valued nature of Polarimetric SAR data requires dedicated algorithms that can
deal with complexvalued representations. This approach needs to be studied more in the …