Fuzzy Logic and Singular Value Decomposition based Through Wall Image Enhancement

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Date
2012-06Alternative metrics PlumX
http://hdl.handle.net/11012/37098Altmetrics
http://hdl.handle.net/11012/37098
http://hdl.handle.net/11012/37098
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Singular value decomposition based through wall image enhancement is proposed which is capable of discriminating target, noise and clutter signals. The overlapping boundaries of clutter, noise and target signals are separated using fuzzy logic. Fuzzy inference engine is used to assign weights to different spectral components. K-means clustering is used for suitable selection of fuzzy parameters. Proposed scheme significantly works well for extracting multiple targets in heavy cluttered through wall images. Simulation results are compared on the basis of mean square error, peak signal to noise ratio and visual inspection.
Keywords
Through wall imaging, Image enhancement, Singular value decomposition, Fuzzy logic, K-means clusteringPersistent identifier
http://hdl.handle.net/11012/37098Document type
Peer reviewedDocument version
Final PDFSource
Radioengineering. 2012, vol. 21, č. 2, s. 580-589. ISSN 1210-2512http://www.radioeng.cz/fulltexts/2012/12_02_0580_0589.pdf
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