Paper
24 August 2000 Evaluation of a regularized SAR imaging technique based on recognition-oriented features
Author Affiliations +
Abstract
One of the biggest challenges for automatic target recognition (ATR) methods is the accurate and efficient extraction of features from synthetic aperture radar (SAR) images. We have recently developed a new SAR image formation technique which is recognition-oriented in the sense that it enhances features in the scene which we believe are important for recognition purposes. In this paper, we evaluate the performance of the images produced by this technique in terms of preserving and enhancing these features. The findings of our analysis indicate that the new SAR image formation method provides images with higher resolution of scatterers, and better separability of different regions as compared to conventional SAR images.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mujdat Cetin, William Clement Karl, and David A. Castanon "Evaluation of a regularized SAR imaging technique based on recognition-oriented features", Proc. SPIE 4053, Algorithms for Synthetic Aperture Radar Imagery VII, (24 August 2000); https://doi.org/10.1117/12.396369
Lens.org Logo
CITATIONS
Cited by 20 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Synthetic aperture radar

Image segmentation

Image acquisition

Speckle

Image resolution

Automatic target recognition

Super resolution

RELATED CONTENT


Back to Top