Deep Learning Approach for Object Classification on Raw and Reconstructed GBSAR Data

Deep Learning Approach for Object Classification on Raw and Reconstructed GBSAR Data

The availability of low-cost microwave components today enables the development of various high-frequency sensors and radars, including Ground-based Synthetic Aperture Radar (GBSAR) systems. Similar to optical images, radar images generated by applying a reconstruction algorithm on raw GBSAR data ca...

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Bibliographic Details
Main Authors: Marin Kačan, Filip Turčinović, Dario Bojanjac, Marko Bosiljevac
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Remote Sensing
Subjects:
object classification
radar image reconstruction
convolutional neural networks
ResNet18
GBSAR
Omega-K algorithm
Online Access:https://www.mdpi.com/2072-4292/14/22/5673

Internet

https://www.mdpi.com/2072-4292/14/22/5673

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