Soft Segmented Randomization: Enhancing Domain Generalization in SAR ATR for Synthetic-to-Measured

Soft Segmented Randomization: Enhancing Domain Generalization in SAR ATR for Synthetic-to-Measured

Synthetic aperture radar technology is crucial for high-resolution imaging under various conditions; however, the acquisition of real-world synthetic aperture radar data for deep learning-based automatic target recognition remains challenging due to high costs and data availability issues. To overco...

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Bibliographic Details
Main Authors: Minjun Kim, Ohtae Jang, Haekang Song, Heesub Shin, Jaewoo Ok, Minyoung Back, Jaehyuk Youn, Sungho Kim
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Gaussian mixture model
data augmentation
deep learning
domain randomization
domain generalization
SAR-ATR
Online Access:https://ieeexplore.ieee.org/document/10763519/
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https://ieeexplore.ieee.org/document/10763519/

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