Contrastive Domain Adaptation-Based Sparse SAR Target Classification under Few-Shot Cases

Contrastive Domain Adaptation-Based Sparse SAR Target Classification under Few-Shot Cases

Due to the imaging mechanism of synthetic aperture radar (SAR), it is difficult and costly to acquire abundant labeled SAR images. Moreover, a typical matched filtering (MF) based image faces the problems of serious noise, sidelobes, and clutters, which will bring down the accuracy of SAR target cla...

Full description

Bibliographic Details
Main Authors: Hui Bi, Zehao Liu, Jiarui Deng, Zhongyuan Ji, Jingjing Zhang
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Remote Sensing
Subjects:
synthetic aperture radar (SAR)
convolutional neural network (CNN)
contrastive domain adaptation (CDA)
few-shot learning
target classification
Online Access:https://www.mdpi.com/2072-4292/15/2/469

Internet

https://www.mdpi.com/2072-4292/15/2/469

Similar Items