CPINet: Towards A Novel Cross-Polarimetric Interaction Network for Dual-Polarized SAR Ship Classification

With the rapid development of the modern world, it is imperative to achieve effective and efficient monitoring for territories of interest, especially for the broad ocean area. For surveillance of ship targets at sea, a common and powerful approach is to take advantage of satellite synthetic apertur...

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Autors principals:	Jinglu He, Ruiting Sun, Yingying Kong, Wenlong Chang, Chenglu Sun, Gaige Chen, Yinghua Li, Zhe Meng, Fuping Wang
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-09-01
Col·lecció:	Remote Sensing
Matèries:	adaptive loss weighting convolutional neural network (CNN) dual-polarized SAR ship classification factorized bilinear coding (FBC) mixed-order squeeze–excitation (MO-SE) attention multiscale deep feature learning
Accés en línia:	https://www.mdpi.com/2072-4292/16/18/3479
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