Effective Vessel Recognition in High Resolution SAR Images Using Quantitative and Qualitative Training Data Enhancement From Target Velocity Phase Refocusing

• Published in: IEEE transactions on geoscience and remote sensing Vol. 62; pp. 1 - 14
• Main Authors: Song, Juyoung, Kim, Duk-jin, Hwang, Ji-Hwan, Kim, Hwisong, Li, Chenglei, Han, Shinhye, Kim, Junwoo
• Format: Journal Article
• Language: English
• Published: New York The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024
• Subjects: Algorithms; Artificial intelligence; Azimuth; Data augmentation; Defocusing; Detection; Detectors; High resolution; Image enhancement; Image resolution; Mitigation; Motion detection; Moving targets; Phase distortion; Qualitative analysis; Robustness; Sea vessels; Synthetic aperture radar; Target detection; Training; Velocity

Along with vessel detection, vessel recognition in high-resolution SAR images was necessary in order to monitor marine vessels effectively; however, the lack of target data and phase defocusing of the target from its velocity limited the recognition performance, especially when using detectors based...