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Principal Component Analysis and Minimum Description Length Criterion Based on Through-Wall Image Enhancement |
| Muhammad Mohsin Riaz, Abdul Ghafoor** |
Department of Electrical Engineering, College of Signals, National University of Sciences and Technology (NUST), Islamabad, Pakistan
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| Cite this article: |
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Muhammad Mohsin Riaz, Abdul Ghafoor 2013 Chin. Phys. Lett. 30 040703 |
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Abstract A through-wall image enhancement scheme is proposed based on principal component analysis and minimum description length criterion. The minimum description length criterion is used with principal component analysis to extract target eigen components. The proposed scheme is capable of extracting multiple targets from heavy cluttered through-wall images. The results of the proposed scheme are compared with existing schemes on the basis of quantitative analysis and visual inspection.
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Received: 27 November 2012
Published: 28 April 2013
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| PACS: |
07.05.Pj
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(Image processing)
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84.40.Xb
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(Telemetry: remote control, remote sensing; radar)
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07.50.Qx
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(Signal processing electronics)
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