Exploring Reinforced Class Separability and Discriminative Representations for SAR Target Open Set Recognition

Exploring Reinforced Class Separability and Discriminative Representations for SAR Target Open Set Recognition

Current synthetic aperture radar (SAR) automatic target recognition (ATR) algorithms primarily operate under the closed-set assumption, implying that all target classes have been previously learned during the training phase. However, in open scenarios, they may encounter target classes absent from t...

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Bibliographic Details
Main Authors: Fei Gao, Xin Luo, Rongling Lang, Jun Wang, Jinping Sun, Amir Hussain
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Remote Sensing
Subjects:
synthetic aperture radar (SAR)
open set recognition (OSR)
class separability reinforcement
discriminative feature capture
embedding space optimization
Online Access:https://www.mdpi.com/2072-4292/16/17/3277

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https://www.mdpi.com/2072-4292/16/17/3277

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