电子与信息学报
電子與信息學報
전자여신식학보
Journal of Electronics & Information Technology
2015年
11期
2742-2748
,共7页
许圣志%黄春琳%刘涛%覃尧%陆珉
許聖誌%黃春琳%劉濤%覃堯%陸珉
허골지%황춘림%류도%담요%륙민
连续波表层穿透雷达%干涉条纹%无损检测%柱面探测
連續波錶層穿透雷達%榦涉條紋%無損檢測%柱麵探測
련속파표층천투뢰체%간섭조문%무손검측%주면탐측
Continuous wave subsurface penetrating radar%Interference fringes%Nondestructive detection%Cylindrical subsurface detection
在进行单频连续波表层穿透雷达的柱面2维无损检测成像扫描时,发现明暗相间的条纹现象,这是雷达成像扫描的一种主要干扰,会严重降低目标的成像效果。该文简单分析了曲面干涉条纹的产生机理,并且基于柱面与目标的谱域分布特性差异,提出谱域干涉条纹滤波方法。针对小目标具有较规律的谱域角度分布特性,沿角度进行谱域插值的补偿,以消除谱域滤波丢失目标谱信息的影响。此外,结合波前成像算法,给出了实现简单、处理高效的谱域滤波成像处理流程。通过仿真分析和实测数据实验,结果表明该文方法能够有效去除柱面的干涉条纹,形成清晰的目标图像。与传统的减平均方法的对比证实该文方法更有效。
在進行單頻連續波錶層穿透雷達的柱麵2維無損檢測成像掃描時,髮現明暗相間的條紋現象,這是雷達成像掃描的一種主要榦擾,會嚴重降低目標的成像效果。該文簡單分析瞭麯麵榦涉條紋的產生機理,併且基于柱麵與目標的譜域分佈特性差異,提齣譜域榦涉條紋濾波方法。針對小目標具有較規律的譜域角度分佈特性,沿角度進行譜域插值的補償,以消除譜域濾波丟失目標譜信息的影響。此外,結閤波前成像算法,給齣瞭實現簡單、處理高效的譜域濾波成像處理流程。通過倣真分析和實測數據實驗,結果錶明該文方法能夠有效去除柱麵的榦涉條紋,形成清晰的目標圖像。與傳統的減平均方法的對比證實該文方法更有效。
재진행단빈련속파표층천투뢰체적주면2유무손검측성상소묘시,발현명암상간적조문현상,저시뢰체성상소묘적일충주요간우,회엄중강저목표적성상효과。해문간단분석료곡면간섭조문적산생궤리,병차기우주면여목표적보역분포특성차이,제출보역간섭조문려파방법。침대소목표구유교규률적보역각도분포특성,연각도진행보역삽치적보상,이소제보역려파주실목표보신식적영향。차외,결합파전성상산법,급출료실현간단、처리고효적보역려파성상처리류정。통과방진분석화실측수거실험,결과표명해문방법능구유효거제주면적간섭조문,형성청석적목표도상。여전통적감평균방법적대비증실해문방법경유효。
The interference fringe phenomenon appears when continuous wave subsurface penetrating radar is used to image on the uneven surfaces for nondestructive detection. As one of the main disturbances, the fringes will deteriorate the imaging results. The principle of this phenomenon is briefly studied and a filtering method to remove the fringes based on the distribution difference in frequency domain between cylindrical surfaces and target is proposed. Besides, according to the regular angle distribution of small target in frequency domain, a compensatory method by interpolation in a certain angle is studied to optimize the imaging results.Moreover, an effective imaging process for cylindrical subsurface detection based on the wavefront imaging algorithm is illustrated. The numerical and experimental data validate the applicability of proposed method and the results outperform the traditional approach of average subtraction.