ENHANCED POLSAR IMAGE CLASSIFICATION USING DEEP CONVOLUTIONAL AND TEMPORAL CONVOLUTIONAL NETWORKS

ENHANCED POLSAR IMAGE CLASSIFICATION USING DEEP CONVOLUTIONAL AND TEMPORAL CONVOLUTIONAL NETWORKS

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A new framework in the form of Polarimetric Synthetic Aperture Radar (PolSAR) image classification, where deep Convolutional Neural Networks (CNNs) were integrated with the traditional Machine Learning (ML) techniques under a Temporal Convolutional Network (TCN) architecture, was introduced in the...

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Bibliographic Details
Main Authors: Batool Anwar, Mohamed M. Morsey, Islam Hegazy, Zaki T. Fayed, Taha El-Arif
Format: Article
Language:English
Published: Regional Association for Security and crisis management, Belgrade, Serbia 2024-06-01
Series:Operational Research in Engineering Sciences: Theory and Applications
Subjects:
Deep Learning
Temporary Convolution Neural Network
Polarimetric Synthetic Aperture Radar
Support Vector Machine
Satellite Image
Online Access:https://www.oresta.org/menu-script/index.php/oresta/article/view/764
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https://www.oresta.org/menu-script/index.php/oresta/article/view/764

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