Bandwidth Segmentation Method for Ultra-High Resolution SAR Imaging

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/).

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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  -