determining the responses of floating structures at sea are the most important concerns in shipbuilding industry. in physical and dynamical principles a ship can be analyzed as a free elastic beam floating in sea without any supports. the analysis of corresponding dynamic equations are difficult and time- consuming, thus investigation on the behavior of floating structures can be done numerical...

One of the current research areas in synthetic aperture radar (SAR) processing fields is deep learning-based ship detection SAR imagery. Recently, images has achieved continuous breakthroughs precision. However, determining how to strike a better balance between precision and complexity algorithm very meaningful for real-time object real application scenarios, attracted extensive attention from...

Ship detection is an important research topic in the field of remote sensing. Compared with optical methods, Synthetic Aperture Radar (SAR) ship can penetrate clouds to detect hidden ships all-day and all-weather. Currently, state-of-the-art methods exploit convolutional neural networks train detectors, which require a considerable labeled dataset. However, it difficult label SAR images because...