Rebar Echo Detection and Suppression in Runway Using GPR
Strong rebar echo which cant be eliminated in t-x domain directly will disturb the detection and discrimination of the interested targets like cryptic disasters. This paper presents the application of Hyp-curvelet transform in detecting and suppressing rebar echo. Echoes from different targets are concentrated in their own apex coordinate but separated with each other in Hyp-curvelet space after transformed. The peak value in Hyp-curvelet space indicates the location of target. With some discrimination algorithm rebars location could be obtained, and then its components in Hyp-curvelet space can be eliminated. In this way the reconstructed data will not contain rebar echo. Simulation results show that targets can be detected in low SNR condition, and rebar echo is rarely left over and diseases echoes are hardly any damaged in reconstructed data.
Hyp-curvelet transform Hyperbola (Hyperbolic) Radon transform Rebar echo suppression target detection.
Rebiao Wu Yuzhong Zhong Jiaxue Liu
Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300,
国际会议
2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)
成都
英文
1339-1342
2011-10-24（万方平台首次上网日期，不代表论文的发表时间）