Ground-penetrating radar: Postmigration stacking of n-fold common midpoint profile data
Ground-penetrating radar: Postmigration stacking of n-fold common midpoint profile data
复制标题
探地雷达：n 重公共中点剖面数据的偏移后叠加
DOI：
10.1190/1.1444929
复制
发表时间：
2001
期刊：
影响因子：
3.3
通讯作者：
J. Hermance
中科院分区：
文献类型：
--
作者：
J. Hermance
衍射和非垂直侧视反射模式是大多数商业探地雷达 (GPR) 勘测的典型特征。虽然探地雷达工作人员使用多种技术将此类信号迁移回地下反射器的正确位置，但这些技术并未普遍应用于多重数据或极端噪声条件。这里采用了地震学家称为波前偏移的程序来处理多重共同中点 (CMP) 探地雷达数据；它对于无噪声和噪声数据似乎都有希望。该算法主要是几何和非数学的，并且很容易在个人计算机上实现。具有极端噪声水平的合成数据的示例表明，迁移叠前多重 CMP 数据，然后进行迁移后 n 重堆叠，可导致图像质量比未迁移或单重迁移数据显着提高。
Diffraction and nonvertical side‐looking reflection patterns are typical features of most commercial ground‐penetrating radar (GPR) surveys. While a number of techniques are used by GPR workers to migrate such signals back to the proper position of the subsurface reflector, these have not been generally applied to multifold data nor to conditions of extreme noise. A procedure known among seismologists as wavefront migration is adapted here for processing multifold common midpoint (CMP) GPR data; it appears to be promising for both noise‐free and noisy data. The algorithm is largely geometrical and nonmathematical, and it is readily implemented on a personal computer. An example of synthetic data with extreme levels of noise illustrates that migrating prestack multifold CMP data, followed by postmigration, n-fold stacking, leads to a substantial improvement in image quality over unmigrated or single‐fold migrated data.