Dual-Branch Fusion of Convolutional Neural Network and Graph Convolutional Network for PolSAR Image Classification

Dual-Branch Fusion of Convolutional Neural Network and Graph Convolutional Network for PolSAR Image Classification

Polarimetric synthetic aperture radar (PolSAR) images contain useful information, which can lead to extensive land cover interpretation and a variety of output products. In contrast to optical imagery, there are several challenges in extracting beneficial features from PolSAR data. Deep learning (DL...

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Bibliographic Details
Main Authors: Ali Radman, Masoud Mahdianpari, Brian Brisco, Bahram Salehi, Fariba Mohammadimanesh
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Remote Sensing
Subjects:
classification
convolutional neural network (CNNs)
dual-branch fusion
graph convolutional networks (GCNs)
PolSAR
Online Access:https://www.mdpi.com/2072-4292/15/1/75

Internet

https://www.mdpi.com/2072-4292/15/1/75

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