Paper
17 May 2006 Multistage entropy minimization for SAR image autofocus
Author Affiliations +
Abstract
This paper discusses a multistage approach to entropy minimization for SAR image autofocus. The new algorithm is compared to existing approaches, including point based autofocus, sub-aperture based autofocus, and hybrid methods. Monte Carlo statistical results are presented for simulated clutter scenes and point target scenes. The new minimum entropy autofocus provides improved speed and accuracy in correcting azimuth phase errors in both scenarios.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brian D. Rigling "Multistage entropy minimization for SAR image autofocus", Proc. SPIE 6237, Algorithms for Synthetic Aperture Radar Imagery XIII, 62370J (17 May 2006); https://doi.org/10.1117/12.669957
Lens.org Logo
CITATIONS
Cited by 7 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Microelectromechanical systems

Signal to noise ratio

Synthetic aperture radar

Image processing

Monte Carlo methods

Detection and tracking algorithms

Error analysis

Back to Top