Selecting pseudo supervision for unsupervised domain adaptive SAR target classification

Selecting pseudo supervision for unsupervised domain adaptive SAR target classification

Abstract In recent years, deep learning has brought significant progress for the problem of synthetic aperture radar (SAR) target classification. However, SAR image characteristics are highly sensitive to the change of imaging conditions. The inconsistency of imaging parameters (especially the depre...

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Bibliographic Details
Main Authors: Lingjun Zhao, Qishan He, Ding Ding, Siqian Zhang, Gangyao Kuang, Li Liu
Format: Article
Language:English
Published: SpringerOpen 2022-09-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
SAR image
Target classification
Unsupervised domain adaptation
Selective pseudo-labelling
Online Access:https://doi.org/10.1186/s13634-022-00906-y

Internet

https://doi.org/10.1186/s13634-022-00906-y

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