物探与化探
物探與化探
물탐여화탐
GEOPHYSICAL AND GEOCHEMICAL EXPLORATION
2014年
1期
109-114
,共6页
刘俊峰%邓居智%陈辉%张寒韬%汤磊%郭猛猛%陈知富
劉俊峰%鄧居智%陳輝%張寒韜%湯磊%郭猛猛%陳知富
류준봉%산거지%진휘%장한도%탕뢰%곽맹맹%진지부
大地电磁%一维滤波%形态滤波%广义组合形态滤波%多结构元素%去噪
大地電磁%一維濾波%形態濾波%廣義組閤形態濾波%多結構元素%去譟
대지전자%일유려파%형태려파%엄의조합형태려파%다결구원소%거조
MT%one-dimensional filtering%morphology filtering%generalized combined morphology filter%multiple structural elements%denoising
数学形态滤波是根据形态学原理创建的一种新型滤波方法,目前在信号处理的诸多领域得到成功运用。本文从形态滤波的基本原理出发,引入了一种多结构元素组成的滤波器用于大地电磁噪声消除。通过数值模拟展示了多结构元素滤波器的滤波效果,表明多结构元素滤波器在小尺度的范围内也有较好的滤波性能。同时,实测大地电磁信号的重构曲线和其视电阻率曲线显示多结构元素形态滤波对大地电磁噪声中的大尺度干扰噪声,如方波噪声和三角波噪声等,有较好的抑制作用,说明多结构元素形态滤波在大地电磁去噪中有较好的应用价值。
數學形態濾波是根據形態學原理創建的一種新型濾波方法,目前在信號處理的諸多領域得到成功運用。本文從形態濾波的基本原理齣髮,引入瞭一種多結構元素組成的濾波器用于大地電磁譟聲消除。通過數值模擬展示瞭多結構元素濾波器的濾波效果,錶明多結構元素濾波器在小呎度的範圍內也有較好的濾波性能。同時,實測大地電磁信號的重構麯線和其視電阻率麯線顯示多結構元素形態濾波對大地電磁譟聲中的大呎度榦擾譟聲,如方波譟聲和三角波譟聲等,有較好的抑製作用,說明多結構元素形態濾波在大地電磁去譟中有較好的應用價值。
수학형태려파시근거형태학원리창건적일충신형려파방법,목전재신호처리적제다영역득도성공운용。본문종형태려파적기본원리출발,인입료일충다결구원소조성적려파기용우대지전자조성소제。통과수치모의전시료다결구원소려파기적려파효과,표명다결구원소려파기재소척도적범위내야유교호적려파성능。동시,실측대지전자신호적중구곡선화기시전조솔곡선현시다결구원소형태려파대대지전자조성중적대척도간우조성,여방파조성화삼각파조성등,유교호적억제작용,설명다결구원소형태려파재대지전자거조중유교호적응용개치。
Mathematical morphological filtering, which is a new type of filtering method based on morphological principle, has been ap-plied successfully in various signal processing problems. Based on the principles of the morphological filtering, the authors introduced a new filter structure for noise cancellation characterized by the multiple structural elements to improve SNR ( Signal to Noise Ratio) of MT data in this paper. With numerical simulation, the filtering effect of the multiple structural elements mathematical morphology filte-ring is demonstrated,which indicates that the multiple structural elements mathematical morphology filtering has a good performance in supressing the noise at a small scale. The results of curve reconstruction of the real magnetotelluric sounding data and the apparent re-sistance curve show that the generalized morphological filter can suppress the large-scale noise such as square wave and triangular wave. It is shown that the multiple structural elements morphological filtering has a good application value in the noise suppression of magnetotelluric sounding data.