SAR Target Detection Method Based on Empirical Mode Decomposition

Article Preview

Abstract:

Empirical mode decomposition (EMD) is a new signal processing theory, and it is very much fitting for non-stationary signal processing, such as radar signal. So this paper proposes the new synthetic aperture radar (SAR) image target detection algorithm after analyzing the characteristics of EMD and SAR images. The proposed method performs the EMD operation, feature extraction, election and fusion, which can reduce the affection of speckle. Experimental results show that the proposed method is very effective.

You have full access to the following eBook

Info:

Periodical:

Pages:

496-500

Citation:

Online since:

September 2012

Export:

Share:

Citation:

[1] P. Matgen, R. Hostache, G. Schumann, L. Pfister, L. Hoffmann, H.H.G. Savenije. Towards an automated SAR-based flood monitoring system: Lessons learned from two case studies. Physics and Chemistry of the Earth. 36 (2011): 241-252.

DOI: 10.1016/j.pce.2010.12.009

Google Scholar

[2] H. J. You. SAR change detection by multi scale segmentation and optimization. Geomatics and Information Science of Wuhan University in Chinese, 36(5)(2011): 531-534.

Google Scholar

[3] E. N. Huang, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[A]. Proc. R. Soc. London. A454 (1998), 903-995.

Google Scholar

[4] H. Ling, L. Margaret, C. M. Namunu, B. A. Nicholas. Study of empirical mode decomposition and spectral analysis for stress and emotion classification in natural speech. Biomedical Signal Processing and Control. 6(2)(2011): 139-146.

DOI: 10.1016/j.bspc.2010.11.001

Google Scholar

[5] B. V. Manuel, W. Binwei, E. B. Kenneth. ECG signal denoising and baseline wander correction based on the empirical mode decomposition. Computers in Biology and Medicine. 38(1)(2008): 1-13.

DOI: 10.1016/j.compbiomed.2007.06.003

Google Scholar

[6] J. L. Sancheza, J. J. Trujillob. Improving the empirical mode decomposition method. Applicable Analysis, 90(3-4)(2011): 689-713.

Google Scholar

[7] G. L. Xu, X. T. Wang, X. G. Xu. Improved bi-dimensional empirical mode decomposition based on 2d-assisted signals: analysis and application, IET Image Processing. 5(3)(2011): 205-221.

DOI: 10.1049/iet-ipr.2009.0158

Google Scholar

[8] L. M. Novak, G. J. Owirka and C. M. Netishen. Performance of a High-resolution Polarimetric SAR Automatic Target Recognition System. Lincoln Laboratory Journal. 6(1)(1993): 11-23.

Google Scholar

[9] S. Q. Huang, D. Z. Liu, G. Q. Gao, X. J. Guo. A novel method for speckle noise reduction and ship target detection in SAR images. Pattern Recognition. 42(7) (2009): 1533-1542.

DOI: 10.1016/j.patcog.2009.01.013

Google Scholar