SAR Image Processing Using Super Resolution Spectral Estimation with SVD-Periodogram Method

B. Kim, S.-H. Kong

Abstract:	This paper presents an SVD-periodogram method for synthetic aperture radar (SAR) imaging. The purpose of this work is to improve resolution and target separability of SAR images. An advantage of the SVD-periodogram method is noise robustness, reduction of sidelobes and resolution of spectral estimation. In this paper, it is demonstrated that the SVD-periodogram method shows better performance than the matched filtering method and the conventional super-resolution multiple signal classification (MUSIC) method in SAR image processing. The targets to be separated are modeled, and this modeled data is used to demonstrate the performance of algorithms.
Published in:	Proceedings of IEEE/ION PLANS 2012 April 24 - 26, 2012 Myrtle Beach Marriott Resort & Spa Myrtle Beach, South Carolina
Pages:	1295 - 1299
Cite this article:	Kim, B., Kong, S.-H., "SAR Image Processing Using Super Resolution Spectral Estimation with SVD-Periodogram Method," Proceedings of IEEE/ION PLANS 2012, Myrtle Beach, South Carolina , April 2012, pp. 1295-1299. https://doi.org/10.1109/PLANS.2012.6236987
Full Paper:	ION Members/Non-Members: 1 Download Credit Sign In