Locality Preserving Property Constrained Contrastive Learning for Object Classification in SAR Imagery

Locality Preserving Property Constrained Contrastive Learning for Object Classification in SAR Imagery

Robust unsupervised feature learning is a critical yet tough task for synthetic aperture radar (SAR) automatic target recognition (ATR) with limited labeled data. The developing contrastive self-supervised learning (CSL) method, which learns informative representations by solving an instance discrim...

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Bibliographic Details
Main Authors: Jing Wang, Sirui Tian, Xiaolin Feng, Bo Zhang, Fan Wu, Hong Zhang, Chao Wang
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Remote Sensing
Subjects:
synthetic aperture radar (SAR)
automatic target recognition (ATR)
contrastive self-supervised learning (CSL)
instance-level contrastive loss
noise-induced estimation of mutual information (InfoNCE)
locality preserving projections (LPP)
Online Access:https://www.mdpi.com/2072-4292/15/14/3697

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https://www.mdpi.com/2072-4292/15/14/3697

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