標題: Frequency subband processing and feature analysis of forward-looking ground-penetrating radar signals for land-mine detection
作者: Wang, Tsaipei
Keller, James M.
Gader, Paul D.
Sjahputera, Ozy
資訊工程學系
Department of Computer Science
關鍵字: feature extraction;feature selection;frequency subbands;ground-penetrating radar (GPR);land-mine detection
公開日期: 1-三月-2007
摘要: There has been significant amount of study on the use of ground-penetrating radar (GPR) for land-mine detection. This paper presents our analysis of GPR data collected at a U.S. Army test site using a new approach based on frequency subband processing. In this approach, from the radar data that have over 2.5 GHz of bandwidth, we compute separate radar images using the one wide (2 GHz) and four narrow (0.6 GHz) frequency subbands. The results indicate that signals for different frequency subbands; are significantly different and give very different performance in land-mine detection. In addition, we also examine a number of features extracted from the GPR data, including magnitude and local-contrast features, ratio between copolarization and cross-polarization signals, and features obtained using polarimetric decomposition. Feature selection procedures are employed to find subsets of features that improve detection performance when combined. Results of land-mine detection, including performance on blind test lanes, are presented.
URI: http://dx.doi.org/10.1109/TGRS.2006.888142
http://hdl.handle.net/11536/11057
ISSN: 0196-2892
DOI: 10.1109/TGRS.2006.888142
期刊: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
Volume: 45
Issue: 3
起始頁: 718
結束頁: 729
顯示於類別:期刊論文


文件中的檔案:

  1. 000244545900018.pdf