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Ship Detection in Synthetic Aperture Radar Images under Complex Geographical Environments, Based on Deep Learning and Morphological Networks

Synthetic Aperture Radar (SAR) ship detection is applicable to various scenarios, such as maritime monitoring and navigational aids. However, the detection process is often prone to errors due to interferences from complex environmental factors like speckle noise, coastlines, and islands, which may...

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Главные авторы: Shen Cao, Congxia Zhao, Jian Dong, Xiongjun Fu
Формат: Artigo
Язык:Inglês
Опубликовано: MDPI AG 2024-07-01
Серии:Sensors
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Online-ссылка:https://www.mdpi.com/1424-8220/24/13/4290
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