Feature fusion for inverse synthetic aperture radar image classification via learning shared hidden space

Abstract Multi‐sensor fusion recognition is a meaningful task in ISAR image recognition. Compared with a single sensor, multi‐sensor fusion can provide richer target information, which is conducive to more accurate and robust identification. However, previous deep learning‐based fusion methods do no...

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Autores principales: Wenhao Lin, Xunzhang Gao
Formato: article
Lenguaje:EN
Publicado: Wiley 2021
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Acceso en línea:https://doaj.org/article/982ad391af2947dc9064a06a82077124
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