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| The Double-peak Characteristic Enhancement Algorithm for Metallic Landmine Detection with UWB SAR |
| Jin Tian Zhou Zhi-min |
| School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China |
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Abstract The major problem in air-borne Ultra-WideBand Synthetic Aperture Radar (UWB SAR) landmine detection is the too many false alarms in practical operation, while enhancement of metallic landmine double-peak feature will benefit elimination of false alarms efficiently. In this paper, based on the double-peak salience maximum criterion, the double-peak feature enhancement algorithm using the post-filter in image domain and the post-filter parameter optimization method are proposed. It is proved with field data processing results that the proposed double-peak enhancement algorithm can increase the double-peak salience of metallic landmines among those suspected targets and thus improve the final metallic landmine detection performance.
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Received: 05 February 2007
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Corresponding Authors:
Jin Tian
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2008, Vol. 30 
