Semi-Supervised Classification of PolSAR Images Based on Co-Training of CNN and SVM with Limited Labeled Samples

Semi-Supervised Classification of PolSAR Images Based on Co-Training of CNN and SVM with Limited Labeled Samples

Recently, convolutional neural networks (CNNs) have shown significant advantages in the tasks of image classification; however, these usually require a large number of labeled samples for training. In practice, it is difficult and costly to obtain sufficient labeled samples of polarimetric synthetic...

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Bibliographic Details
Main Authors: Mingjun Zhao, Yinglei Cheng, Xianxiang Qin, Wangsheng Yu, Peng Wang
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Sensors
Subjects:
polarimetric synthetic aperture radar (PolSAR)
semi-supervised classification
co-training
convolutional neural network (CNN)
residual network (ResNet)
support vector machine (SVM)
Online Access:https://www.mdpi.com/1424-8220/23/4/2109

Internet

https://www.mdpi.com/1424-8220/23/4/2109

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