3-D InISAR Imaging of the Ship Target Based on Joint Cross S-Method Algorithm

• Published in: IEEE geoscience and remote sensing letters Vol. 16; no. 7; pp. 1080 - 1084
• Main Authors: Wang, Yong, Chen, Xuefei
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.07.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 3-D interferometric inverse synthetic aperture radar (InISAR); Algorithms; Azimuth; Computer simulation; Echoes; Fourier transforms; High resolution; Image processing; Image resolution; Imaging; Imaging techniques; Interferometry; Inverse synthetic aperture radar; joint cross S-method; Marine vehicles; Motion compensation; Profiles; Radar imaging; Resolution; SAR (radar); Ships; short-time Fourier transform (STFT); Synthetic aperture radar; Target recognition; Transforms
• ISSN: 1545-598X; 1558-0571
• DOI: 10.1109/LGRS.2019.2893260

3-D interferometric inverse synthetic aperture radar (InISAR) imaging of ship targets has always been a hot and difficult issue in research, and how to preserve the interferometric phase while performing high-resolution 2-D ISAR imaging of the complex echoes is the key to 3-D InISAR imaging. In this letter, a novel 3-D InISAR imaging algorithm of the ship target based on joint cross S-method is proposed. First, the azimuth short-time Fourier transform (STFT) is applied to the 1-D range profiles after motion compensation and image coregistration. Then, extract the interferometric phase matrices after performing the joint cross S-method transformation of the STFT results along the two baselines. Besides, the S-method transformations are implemented recursively for the joint cross S-method transformed results to obtain high-resolution ISAR images. Finally, the 3-D InISAR imaging can be achieved by combining the phase matrices and ISAR images at the same time. Simulation results verify the effectiveness and superiority of the proposed algorithm.