首页> 外文会议>Symposium on the Application Of Geophysics To Engineering And Environmental Problems >OVERCOMING OVERLAPPED FIELDS AND GEOLOCATION ERRORS IN POINT-DIPOLE MAGNETIC FIELD INVERSIONS
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OVERCOMING OVERLAPPED FIELDS AND GEOLOCATION ERRORS IN POINT-DIPOLE MAGNETIC FIELD INVERSIONS

机译:克服点偶极磁场反转中的重叠字段和地理位置错误

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In magnetic field surveys for unexploded ordnance (UXO), point-dipole inversions are generally used. Ground, aerial, and marine surveys often use magnetometer arrays that sweep out one or more curviplanar surfaces. Where such swaths are adjacent or overlap, geolocation errors, differences in swath elevations, artifacts of demedian or other filtering, and imperfect corrections of heading noise, maneuvering noise, and geomagnetic variations, can yield herringbone noise. Leveling or microleveling can reduce herringbone, but fields at actual measurement locations are desirable for optimal inversions. An automatic geolocation error correction (AGEC) was therefore developed to simultaneously estimate dipole parameters and optimal 1-, 2-, or 3-d translations of one or more swaths relative to a reference swath where a point-dipole anomaly spans multiple swaths. Intra-inversion filtering (IIF) can now be directly applied to ungridded data using linear, point-by-point adaptive, "stabilized" gradient nulling (SGN) filters, F, which null functions with constant horizontal gradients. That is, F{a+bx_i+cy_i} = 0 for a, b, and c constants and (x_i,y_i) horizontal positions scattered on the measurement surface z(x,y). IIF ameliorates effects of complex background fields, overlapping fields of nearby dipole-like sources, and residual low frequency noise components due to imperfect pre-inversion processing. These new SGN filters can be applied to individual swaths without amplifying effects of herringbone noise. Because they are applied to the input data and to components of fields being modeled in the mixed gradient-regression inversion algorithm, SGN filters yield perfect inversions for point-dipole anomalies superposed on a constant-gradient background field. Multi-window, multi-dipole inversions and AGEC with and without IIF are shown to be effective. AGEC and IIF can be usefully applied to total-field or vertical-gradient data. Measures of fit using post-inversion bias estimates and polynomials fit to residual fields are useful for IIF inversions. Single-window IIF inversion with AGEC takes a few seconds on a laptop computer.
机译:在用于未爆弹药磁场调查,点偶极反演通常使用。地面,空中和海洋调查经常使用磁强计阵横扫出一个或多个的弧形表面。当这种幅是相邻或重叠,地理定位误差,在条带隆起的差异,demedian或其它滤波的伪影,和航向噪声,噪声的操纵的不完善更正,以及地磁的变化,可以得到噪声人字形。调平或microleveling可减少人字形的,但在实际测量位置字段是理想的最佳反转。因此自动地理位置纠错(AGEC)的开发是为了同时估计相对于参考刈其中点偶极异常跨越多个行幅偶极参数和最佳1-,2-,或一个或多个幅区3-d的翻译。帧内反转滤波(IIF)现在可以直接应用到使用线性ungridded数据,逐点自适应,“稳定的”梯度归零(SGN)滤波器,F,具有恒定的水平梯度,其空函数。也就是说,F {A + bx_i + cy_i}为一,散落在测量面积Z b和c常数和(X_I,Y_I)水平位置(X,Y)= 0。 IIF改善复杂背景场的影响,重叠附近偶极状光源,和残留低频率的噪声成分由于不完美预反转处理的领域。这些新的SGN滤波器可以被应用到各个幅,而不放大的人字形的噪声的影响。因为它们被施加到输入数据,并在混合梯度回归反演算法被建模领域的部件,过滤器SGN用于产生叠加在恒定梯度背景场点偶极异常完美反转。多窗口,多偶极倒位和AGEC有和没有IIF被示出为是有效的。 AGEC和IIF可有用地应用于总场或垂直梯度数据。使用后的反转偏差估计和多项式拟合的措施符合残留领域是有用的IIF倒置。与AGEC单窗口IIF反转需要在笔记本电脑上几秒钟。

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