Semhybridnet: a semantically enhanced hybrid CNN-transformer network for radar pulse image segmentation

Semhybridnet: a semantically enhanced hybrid CNN-transformer network for radar pulse image segmentation

Abstract Radar signal sorting is a vital component of electronic warfare reconnaissance, serving as the basis for identifying the source of radar signals. However, traditional radar signal sorting methods are increasingly inadequate and computationally complex in modern electromagnetic environments....

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Detaylı Bibliyografya
Asıl Yazarlar: Hongjia Liu, Yubin Xiao, Xuan Wu, Yuanshu Li, Peng Zhao, Yanchun Liang, Liupu Wang, You Zhou
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: Springer 2023-12-01
Seri Bilgileri:Complex & Intelligent Systems
Konular:
Semantic segmentation
Convolutional neural network
Transformer
Radar pulse image segmentation
Online Erişim:https://doi.org/10.1007/s40747-023-01294-y

Internet

https://doi.org/10.1007/s40747-023-01294-y

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