GPU Processing for UAS-Based LFM-CW Stripmap SAR
Brigham Young University, 459 Clyde Building, Provo UT, 84602
Photogrammetric Engineering and Remote Sensing, Vol. 80, No. 12, pp. 1107-1115, 2014
@article{stringham2014gpu,
title={GPU Processing for UAS-Based LFM-CW Stripmap SAR},
author={Stringham, Craig and Long, David G},
journal={Photogrammetric Engineering & Remote Sensing},
volume={80},
number={12},
pages={1107–1115},
year={2014},
publisher={American Society for Photogrammetry and Remote Sensing}
}
Unmanned air systems (UAS) provide an excellent platform for synthetic aperture radar (SAR), enabling surveillance and research over areas too difficult, dangerous, or costly to reach using manned aircraft. However, the nimble nature of the small UAS makes them more susceptible to external forces, thus requiring significant motion compensation in order for SAR images to focus properly. SAR backprojection has been found to improve the focusing of low-altitude stripmap SAR images compared to frequency domain algorithms. In this paper we describe the development and implementation of SAR backprojection appropriate for UAS based stripmap SAR that utilizes the unique architecture of a GPU in order to produce high-quality imagery in real-time.
January 16, 2015 by hgpu
