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

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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.
Publisher
The Institute of Navigation
Issue Date
2012-04
Language
English
Citation

ION PLANS 2012, pp.1295 - 1299

URI
http://hdl.handle.net/10203/172273
Appears in Collection
GT-Conference Papers(학술회의논문)
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