Training Sample Selection Based on SAR Images Quality Evaluation With Multi-Indicators Fusion
In recent years, with the development of artificial neural networks, efficiently training models for synthetic aperture radar (SAR) image classification tasks has garnered significant attention from researchers. Particularly when dealing with datasets containing a large number of redundant samples,...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
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| Series: | IET Signal Processing |
| Online Access: | http://dx.doi.org/10.1049/sil2/1612434 |
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