吉林大学学报(地球科学版)
吉林大學學報(地毬科學版)
길림대학학보(지구과학판)
JOURNAL OF JILIN UNIVERSITY(EARTH SCIENCE EDITION)
2014年
4期
1340-1347
,共8页
跨孔雷达%走时提取%走时层析成像%数字图像分割法%凸集投影
跨孔雷達%走時提取%走時層析成像%數字圖像分割法%凸集投影
과공뢰체%주시제취%주시층석성상%수자도상분할법%철집투영
cross-hole radar%first arrival-time extraction%travel-time tomography%digital image segmentation%projection onto convex sets
跨孔雷达走时层析成像主要利用雷达波的走时进行反演,走时提取的正确与否将直接影响到层析成像的效果。数字图像分割法基于凸集投影(POCS)方法,使用能量比彩色图像分割技术准确提取走时。数字图像分割法提取走时首先应用在折射地震波的数据处理中。笔者首次将数字图像分割法提取走时的方法应用到跨孔雷达走时层析成像中,使用迭代线性反演算法重建了雷达波速度场。反演过程中,使用最小二乘 QR 分解法(LSQR)求解线性方程组,利用弯曲射线追踪技术构建雅可比矩阵,走时的计算值则由多模板快速推进算法(MSFM)得到。为了验证数字图像分割法在走时层析成像中的效果,使用一组合成数据及一组实测数据分别对比了基于数字图像分割法和基于传统能量比法获得的层析成像反演结果。对比结果表明,使用数字图像分割法得到的层析成像结果更为精确,误差更小,能为判断地下雷达波速度场提供更为有力的帮助。
跨孔雷達走時層析成像主要利用雷達波的走時進行反縯,走時提取的正確與否將直接影響到層析成像的效果。數字圖像分割法基于凸集投影(POCS)方法,使用能量比綵色圖像分割技術準確提取走時。數字圖像分割法提取走時首先應用在摺射地震波的數據處理中。筆者首次將數字圖像分割法提取走時的方法應用到跨孔雷達走時層析成像中,使用迭代線性反縯算法重建瞭雷達波速度場。反縯過程中,使用最小二乘 QR 分解法(LSQR)求解線性方程組,利用彎麯射線追蹤技術構建雅可比矩陣,走時的計算值則由多模闆快速推進算法(MSFM)得到。為瞭驗證數字圖像分割法在走時層析成像中的效果,使用一組閤成數據及一組實測數據分彆對比瞭基于數字圖像分割法和基于傳統能量比法穫得的層析成像反縯結果。對比結果錶明,使用數字圖像分割法得到的層析成像結果更為精確,誤差更小,能為判斷地下雷達波速度場提供更為有力的幫助。
과공뢰체주시층석성상주요이용뢰체파적주시진행반연,주시제취적정학여부장직접영향도층석성상적효과。수자도상분할법기우철집투영(POCS)방법,사용능량비채색도상분할기술준학제취주시。수자도상분할법제취주시수선응용재절사지진파적수거처리중。필자수차장수자도상분할법제취주시적방법응용도과공뢰체주시층석성상중,사용질대선성반연산법중건료뢰체파속도장。반연과정중,사용최소이승 QR 분해법(LSQR)구해선성방정조,이용만곡사선추종기술구건아가비구진,주시적계산치칙유다모판쾌속추진산법(MSFM)득도。위료험증수자도상분할법재주시층석성상중적효과,사용일조합성수거급일조실측수거분별대비료기우수자도상분할법화기우전통능량비법획득적층석성상반연결과。대비결과표명,사용수자도상분할법득도적층석성상결과경위정학,오차경소,능위판단지하뢰체파속도장제공경위유력적방조。
The effectiveness of cross-hole radar tomography depends mainly on the quality of the extracted first arrival-time.Digital image segmentation method,based on the projection onto convex sets (POCS)technique,is used to extract the first arrival-time by segmenting the color image of the energy ratio,and had previously been applied in refracted seismic first arrival-time extraction.We first applied digital image segmentation method into cross-hole radar travel-time tomography to reconstruct the velocity field using an iteratively linearized inversion approach.During the inversion,LSQR algorithm was employed to solve the system of linear equations,Jacobian matrix was constructed by the curved ray tracing technique, and the travel-time was calculated using Multistencils Fast Marching Method (MSFM).We employed a synthetic data set and a field data set to test the effectiveness of the digital image segmentation method in travel-time tomography.For comparison,a traditional energy ratio method is also used for first arrival-time extraction.The result reflected that the tomography based on digital image segmentation method is more accurate with smaller residuals,and can provide more effective judgment for the underground velocity field.