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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Bibliographic Details
Main Authors: Hongjia Liu, Yubin Xiao, Xuan Wu, Yuanshu Li, Peng Zhao, Yanchun Liang, Liupu Wang, You Zhou
Format: Article
Language:English
Published: Springer 2023-12-01
Series:Complex & Intelligent Systems
Subjects:
Semantic segmentation
Convolutional neural network
Transformer
Radar pulse image segmentation
Online Access:https://doi.org/10.1007/s40747-023-01294-y

Internet

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

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