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...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Jinglu He, Ruiting Sun, Yingying Kong, Wenlong Chang, Chenglu Sun, Gaige Chen, Yinghua Li, Zhe Meng, Fuping Wang
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	MDPI AG 2024-09-01
سلاسل:	Remote Sensing
الموضوعات:	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
الوصول للمادة أونلاين:	https://www.mdpi.com/2072-4292/16/18/3479
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!