Vehicle Target Detection Network in SAR Images Based on Rectangle-Invariant Rotatable Convolution

In recent years, convolutional neural network (CNN)-based methods have been extensively explored for synthetic aperture radar (SAR) target detection. Nevertheless, the convolutional sampling locations of CNNs cannot accurately fit vehicle targets due to the fixed sampling mechanism in the convolutio...

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Bibliografische gegevens

Hoofdauteurs:	Lu Li, Yuang Du, Lan Du
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	MDPI AG 2022-06-01
Reeks:	Remote Sensing
Onderwerpen:	synthetic aperture radar (SAR) vehicle target detection rectangle-invariant rotatable convolution (RIRConv)
Online toegang:	https://www.mdpi.com/2072-4292/14/13/3086
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