A Sorting Method of SAR Emitter Signal Sorting Based on Self-Supervised Clustering
Most existing methods for sorting synthetic aperture radar (SAR) emitter signals rely on either unsupervised clustering or supervised classification methods. However, unsupervised clustering can consume a significant amount of computational and storage space and is sensitive to the setting of hyperp...
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| Główni autorzy: | , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
MDPI AG
2023-03-01
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| Seria: | Remote Sensing |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.mdpi.com/2072-4292/15/7/1867 |
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