@inproceedings{21c4707c470f455e9b1a4f54f79f5ba9,
title = "A Multi-Target ISAR Imaging Method Based on Zhang-Suen Thinning and Radon Transform",
abstract = "Achieving high-resolution images of multiple targets is a crucial problem in ISAR imaging. Mono-target imaging methods generally fail to address multi-target imaging formation. To tackle this problem, we propose a multi-target ISAR imaging method based on Zhang-Suen thinning and the Radon transform in this paper. Zhang-Suen thinning is first utilized to extract skeletons of overlapped range profiles. Since Zhang-Suen thinning retains the motion information of multiple targets and reduces the overlap, Radon transform is allowed to estimate range walk more accurately. Subsequently, these aligned targets are isolated in the image domain. We then utilize the Maximum-Correlation Range Alignment (MCRA) and the Phase Gradient Autofocus (PGA) methods to compensate motions of range profiles thoroughly. Through the above procedures, we achieve accurately compensated and completely separated ISAR images of different targets.",
keywords = "Radon transform, Zhang-Suen thinning, multi-target ISAR imaging",
author = "Hongxu Li and Fulin Su",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022 ; Conference date: 05-11-2022 Through 07-11-2022",
year = "2022",
doi = "10.1109/CISP-BMEI56279.2022.9980197",
language = "英语",
series = "Proceedings - 2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Xin Chen and Lin Cao and Qingli Li and Yan Wang and Lipo Wang",
booktitle = "Proceedings - 2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022",
address = "美国",
}