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Principal component analysis and minimum description length criterion based through wall image enhancement
Principal component analysis and minimum description length criterion based image enhancement is proposed for through wall imaging. Minimum description length criterion is used with principal component analysis to find target eigen values. Simulation results compared on the basis of mean square erro...
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Main Authors: | , , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
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Summary: | Principal component analysis and minimum description length criterion based image enhancement is proposed for through wall imaging. Minimum description length criterion is used with principal component analysis to find target eigen values. Simulation results compared on the basis of mean square error, peak signal to noise ratio and visual inspection shows the significance of proposed scheme. |
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ISSN: | 2153-6996 2153-7003 |
DOI: | 10.1109/IGARSS.2013.6723332 |