Buried Object Detection Based on Multivariate Latent Methods | ||||
| International Conference on Aerospace Sciences and Aviation Technology | ||||
| Article 51, Volume 14, AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 14 – May 24 - 26, 2011, May 2011, Page 1-14 PDF (640.16 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/asat.2011.23277 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| K. A. Ghamry; W. M. Hussein; M. Hegazy; H. M. Mahgoub | ||||
| Egyptian Armed Forces, Cairo, Egypt. | ||||
| Abstract | ||||
| In this paper, wideband ground penetrating radar (GPR) system and a proposed frequency domain data analysis technique are presented for the detection of shallow buried objects such as anti-personal (AP) land mines. The GPR system uses one antenna for transmitting and for receiving and. it operates from 9 GHz to11 GHz. This system is able to acquire, save and analyze the data in the frequency domain. Experiments were conducted on metallic and plastic AP mines under different depths. Principal Component Analysis (PCA) has been used for processing the data. This technique is effective for the clustering of different groups. Results show that the proposed technique can successfully differentiate between metallic and plastic mines-like targets buried in dry soil. | ||||
| Keywords | ||||
| Buried object; Monitoring; Multivariate Analysis; PCA | ||||
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