Paper
4 May 2011 Extensions to polar formatting with spatially variant post-filtering
Wendy L. Garber, Robert W. Hawley
Author Affiliations +
Abstract
The polar format algorithm (PFA) is computationally faster than back projection for producing spotlight mode synthetic aperture radar (SAR). This is very important in applications such as video SAR for persistent surveillance, as images may need to be produced in real time. PFA's speed is largely due to making a planar wavefront assumption and forming the image onto a regular grid of pixels lying in a plane. Unfortunately, both assumptions cause loss of focus in airborne persistent surveillance applications. The planar wavefront assumption causes a loss of focus in the scene for pixels that are far from scene center. The planar grid of image pixels causes loss of the depth of focus for conic flight geometries. In this paper, we present a method to compensate for the loss of depth of focus while warping the image onto a terrain map to produce orthorectified imagery. This technique applies a spatially variant post-filter and resampling to correct the defocus while dewarping the image. This work builds on spatially variant post-filtering techniques previously developed at Sandia National Laboratories in that it incorporates corrections for terrain height and circular flight paths. This approach produces high quality SAR images many times faster than back projection.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wendy L. Garber and Robert W. Hawley "Extensions to polar formatting with spatially variant post-filtering", Proc. SPIE 8051, Algorithms for Synthetic Aperture Radar Imagery XVIII, 805104 (4 May 2011); https://doi.org/10.1117/12.888947
Lens.org Logo
CITATIONS
Cited by 7 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Synthetic aperture radar

Wavefronts

Sensors

Tomography

Distortion

Surveillance

Image filtering

RELATED CONTENT

Evaluation of privacy in high dynamic range video sequences
Proceedings of SPIE (September 23 2014)
Traffic camera markup language (TCML)
Proceedings of SPIE (February 15 2012)
Remote video surveillance systems
Proceedings of SPIE (May 05 2009)

Back to Top