SAR Imaging for Ships in Rough Seas Based on Deconvolutive STFT Spectrogram Method
Authors
Yu Zhao, Beibei Yang, Jinping Sun, Yuan Zhang
Corresponding Author
Yu Zhao
Available Online August 2013.
- DOI
- 10.2991/rsete.2013.163How to use a DOI?
- Keywords
- SAR imaging, deconvolutive short-time Fourier transform spectrogram, ship motion modeling
- Abstract
There is multi-degree-of-freedom non-cooperation motion of ships in rough seas which makes the quality of the ships’ SAR images get poor. In this paper, the ship motion model was built based on the strip theory at first. Then, the quality of the ships’ SAR images which are in different sea states was analyzed using the Standard Chirp Scaling Algorithm (CSA). At last, we propose a new SAR imaging method which is based on Deconvolutive Short-Time Fourier Transform DSTFT Spectrogram. Through simulation, the validity of the proposed method to improve the quality of SAR imaging was verified.
- Copyright
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yu Zhao AU - Beibei Yang AU - Jinping Sun AU - Yuan Zhang PY - 2013/08 DA - 2013/08 TI - SAR Imaging for Ships in Rough Seas Based on Deconvolutive STFT Spectrogram Method BT - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013) PB - Atlantis Press SP - 671 EP - 674 SN - 1951-6851 UR - https://doi.org/10.2991/rsete.2013.163 DO - 10.2991/rsete.2013.163 ID - Zhao2013/08 ER -