SAR autofocus using wiener deconvolution

Lijuan Liu*, Xia Bai, Juan Zhao, Ran Tao

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

This paper proposes a new approach to synthetic aperture radar (SAR) autofocus. The proposed metric-based autofocus algorithm is based on the Wiener deconvolution filter, which has the advantage of the phase error compensation as well as noise suppression. The sharpness metrics are used to measure the degree of the focus of the SAR image. To compare the performance of the metric-based SAR autofocus, we also present a detailed analysis of different sharpness metrics. Then, a guide about the optimal sharpness metric in various SAR scenes is presented. The simulation results with the real data demonstrate that the proposed algorithm has better restoration capability in comparison with conventional minimum-entropy algorithm.

源语言英语
主期刊名Proceedings - 2010 1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010
1256-1259
页数4
DOI
出版状态已出版 - 2010
活动1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010 - Harbin, 中国
期限: 17 9月 201019 9月 2010

出版系列

姓名Proceedings - 2010 1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010

会议

会议1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010
国家/地区中国
Harbin
时期17/09/1019/09/10

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引用此

Liu, L., Bai, X., Zhao, J., & Tao, R. (2010). SAR autofocus using wiener deconvolution. 在 Proceedings - 2010 1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010 (页码 1256-1259). 文章 5636139 (Proceedings - 2010 1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010). https://doi.org/10.1109/PCSPA.2010.308