International Conferences
| SAR Image Processing Using Super Resolution Spectral Estimation with SVD-Periodogram Method |
| Year |
2012 |
| Month |
|
| Journal |
2012 / IEEE/ION PLANS, PP.1295-1299 |
| Author |
Binhee Kim and Seung-Hyun Kong* |
|
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. |
https://ieeexplore.ieee.org/document/6236987
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