Analytical residual network architecture with semi-supervision for sonar-based ship classification in underwater defense systems

Sonar-based ship classification is vital for underwater defense systems, enabling effective surveillance, threat detection, and autonomous navigation. However, challenges such as high noise levels, low resolution, and complex acoustic scattering in sonar data necessitate the use of advanced algorith...

وصف كامل

التفاصيل البيبلوغرافية

الحاوية / القاعدة:	Egyptian Informatics Journal
المؤلفون الرئيسيون:	Ruiling Fu, Chunlai Yu, Liqin Yue, Yangyang Zhang, Guizhou Cao
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	Elsevier 2025-12-01
الموضوعات:	Ship classification Semi-supervised learning Underwater surveillance Residual network
الوصول للمادة أونلاين:	http://www.sciencedirect.com/science/article/pii/S1110866525001616