@inproceedings{5f81944c4f434cfb845739410a31d22c,
title = "Sparsity-driven high-resolution and wide-swath SAR imaging via poisson disk sampling",
abstract = "Since the width of range swath of synthetic aperture radar (SAR) is restricted by the pulse repetition frequency, conventional SAR imaging methods based on the Nyquist sampling theorem can hardly achieve the high-resolution and wide-swath simultaneously. In this paper, we propose a sparsity-driven high-resolution and wide-swath SAR imaging algorithm based on Poisson disk sampling. Poisson disk sampling adopted in the azimuth direction provides the potential of a wider imaging swath. The imaging formation is then converted to a sparse reconstruction model and carried out by performing iterative shrinkage threshold algorithm. The experimental results demonstrate that the proposed method can realize high-resolution and wide-swath SAR imaging simultaneously.",
keywords = "Compressed sensing, High-resolution, Poisson disk sampling, SAR imaging, Wide-swath",
author = "Xiaoyu Yang and Gang Li and Jinping Sun and Yu Liu and Xia, \{Xiang Gen\}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Radar Conference, RadarConf 2019 ; Conference date: 22-04-2019 Through 26-04-2019",
year = "2019",
month = apr,
doi = "10.1109/RADAR.2019.8835553",
language = "English",
series = "2019 IEEE Radar Conference, RadarConf 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 IEEE Radar Conference, RadarConf 2019",
address = "United States",
}