Clutter reduction in synthetic aperture radar images with statistical modeling: An application to MSTAR data-Reference-Cited by-同舟云学术

Clutter reduction in synthetic aperture radar images with statistical modeling: An application to MSTAR data

Published:2008 Issue:6 Volume:50 Page:1514-1520
ISSN:0895-2477
Container-title:Microwave and Optical Technology Letters
language:en
Short-container-title:Microw. Opt. Technol. Lett.

Author:

Demirci Sevket,Ozdemir Caner,Akdagli Ali,Yigit Enes

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference27 articles.

1. Guest Editorial Introduction To The Special Issue On Automatic Target Detection And Recognition

2. Automatic target detection and recognition using synthetic aperture radar imagery, Cooperative Research Center for Sensor Signal and Information Processing, SPRI building, Mawson Lakes Boulevard, Mawson Lakes, South Australia, 2002.

3. Performance complexity study of several approaches to automatic target recognition from SAR images

4. Numerical studies of the detection of targets embedded in clutter by using angular correlation function and angular correlation imaging

5. A reverse-SAR (R-SAR) algorithm for the detection of targets buried in ground clutter

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