Kisitli l m ve Derin grenme Kullanarak Sentetik A iklikli Sonar G r nt leme

Synthetic Aperture Sonar (SAS) is a high-resolution underwater imaging technique. Although SAS and Synthetic Aperture Radar (SAR) share similar imaging algorithms, differences in their propagation environments impose distinct constraints on these algorithms. Since the speed of sound in water is significantly slower than the speed of electromagnetic waves in air, the azimuth sampling rate of SAS is limited. In this study, in order to improve the azimuth sampling rate, additional spatial sampling points are generated using artificial intelligence methods and the received signal matrix is expanded along the azimuth axis. By applying the Range Migration Algorithm (RMA) to the expanded matrix, an enhanced SAS image was obtained. The proposed method has been trained and tested on simulation data. SAS images generated using the proposed method and those generated separately with a high azimuth sampling rate are compared using Peak Signal-to-Noise Ratio and Structural Similarity Index Measure.