INFORMATION THEORETIC CRITERION BASED CLUTTER REDUCTION FOR GROUND PENETRATING RADAR | Zendy

Muhammad Mohsin Riaz | Zendy; Abdul Ghafoor | Zendy

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INFORMATION THEORETIC CRITERION BASED CLUTTER REDUCTION FOR GROUND PENETRATING RADAR

Author(s) -

Muhammad Mohsin Riaz,

Abdul Ghafoor

Publication year - 2012

Publication title -

progress in electromagnetics research b

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.208

H-Index - 47

ISSN - 1937-6472

DOI - 10.2528/pierb12080802

Subject(s) - clutter , singular value decomposition , computer science , radar , reduction (mathematics) , noise reduction , algorithm , singular value , linear subspace , noise (video) , artificial intelligence , mathematics , computer vision , physics , telecommunications , image (mathematics) , eigenvalues and eigenvectors , geometry , quantum mechanics

Singular value decomposition and information theoretic criterion based clutter reduction is proposed for ground penetrating radar imaging. The scheme is capable of discriminating target, clutter and noise subspaces. Information theoretic criterion is used with conventional singular value decomposition to flnd the target singular values. The proposed scheme also works for extracting multiple targets in heavy cluttered images. Simulation results are compared on the basis of mean square error, peak signal to noise ratio and visual inspection.

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