论文信息 - Factor and Principle Component Analysis for Automatic Landmine Detection Based on Ground Penetrating Radar

Factor and Principle Component Analysis for Automatic Landmine Detection Based on Ground Penetrating Radar

Statistical signal processing for clutter reduction in stepped-frequency ground penetrating radar (SF-GPR) data is presented for detecting buried Anti-personnel (AP) landmines. Two algorithms are proposed to separate the target and clutter based on factor analysis (FA) and principle component analysis (PCA). The two algorithms have been experimentally evaluated and compared using non-metallic AP landmines. The experimental data were collected by using an SF-GPR operating on the frequency band from 1 GHz to 20 GHz.

Fawzy Abujarad | Abbas S. Omar

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