A Speckle Filter for Sentinel-1 SAR Ground Range Detected Data Based on Residual Convolutional Neural Networks

A Speckle Filter for Sentinel-1 SAR Ground Range Detected Data Based on Residual Convolutional Neural Networks

In recent years, machine learning algorithms have become widespread in all the fields of remote sensing and earth observation. This has allowed the rapid development of new procedures to solve problems affecting these sectors. In this context, this work aims at presenting a novel method for filterin...

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Bibliographic Details
Main Authors: Alessandro Sebastianelli, Maria Pia Del Rosso, Silvia L. Ullo, Paolo Gamba
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Artificial intelligence (AI)
convolutional neural networks (CNNs)
deep learning (DL)
ground range detected (GRD) data
noise filtering
Sentinel-1
Online Access:https://ieeexplore.ieee.org/document/9800702/

Internet

https://ieeexplore.ieee.org/document/9800702/

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