ENHANCED POLSAR IMAGE CLASSIFICATION USING DEEP CONVOLUTIONAL AND TEMPORAL CONVOLUTIONAL NETWORKS
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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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Regional Association for Security and crisis management, Belgrade, Serbia
2024-06-01
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| Series: | Operational Research in Engineering Sciences: Theory and Applications |
| Subjects: | |
| Online Access: | https://oresta.org/menu-script/index.php/oresta/article/view/764 |
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