DSMF-Net: A One-Stage SAR Ship Detection Network Based on Deformable Strip Convolution and Multiscale Feature Refinement and Fusion

Synthetic aperture radar (SAR), an all-weather and day-and-night remote sensing imaging technology, is crucial for ship detection. However, SAR images are hampered by speckle noise and coastal clutter, and ship targets exhibit multiscale and small-scale characteristics. To tackle these challenges, w...

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Bibliografische gegevens

Hoofdauteurs:	Xingyu Liu, Jun Pan, Rong Hu, Wenli Huang, Jiawei Lin, Jiarui Hu
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	IEEE 2025-01-01
Reeks:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Onderwerpen:	Complex backgrounds deep learning multiscale ship detection synthetic aperture radar (SAR)
Online toegang:	https://ieeexplore.ieee.org/document/10960366/
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