Bandwidth Segmentation Method for Ultra-High Resolution SAR Imaging
Authors
Wang Xin, Gong Qingyong, Jiang Rui, Zhu Daiyin
Corresponding Author
Wang Xin
Available Online August 2013.
- DOI
- 10.2991/rsete.2013.140How to use a DOI?
- Keywords
- ultra-high resolution SAR; bandwidth segmentation method; chirp scaling algorithm; 2-D frequency domain combination
- Abstract
A new methodology to process received signal in X band ultra-high resolution synthetic aperture radar (SAR) is presented in this paper. The received wideband signal is decomposed into sub bandwidth signals firstly, which are compressed by the chirp scaling algorithm (CSA) and then combined in 2-D frequency domain to obtain the final image. Compared with original CSA, this bandwidth segmentation method improves SAR image quality and extends the focused scene size effectively. Point target simulation validates the algorithm
- 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 - Wang Xin AU - Gong Qingyong AU - Jiang Rui AU - Zhu Daiyin PY - 2013/08 DA - 2013/08 TI - Bandwidth Segmentation Method for Ultra-High Resolution SAR Imaging BT - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013) PB - Atlantis Press SP - 579 EP - 581 SN - 1951-6851 UR - https://doi.org/10.2991/rsete.2013.140 DO - 10.2991/rsete.2013.140 ID - Xin2013/08 ER -