Super-Resolution of Synthetic Aperture Radar Complex Data by Deep-Learning

Super-Resolution of Synthetic Aperture Radar Complex Data by Deep-Learning

One of the greatest limitations of Synthetic Aperture Radar imagery is the capability to obtain an arbitrarily high spatial resolution. Indeed, despite optical sensors, this capability is not just limited by the sensor technology. Instead, improving the SAR spatial resolution requires large transmit...

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Bibliographic Details
Main Authors: Pia Addabbo, Mario Luca Bernardi, Filippo Biondi, Marta Cimitile, Carmine Clemente, Nicomino Fiscante, Gaetano Giunta, Danilo Orlando, Linjie Yan
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
SAR
super-resolution
deep learning
CNN
COSMO-skymed
Online Access:https://ieeexplore.ieee.org/document/10057395/

Internet

https://ieeexplore.ieee.org/document/10057395/

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