Automatic Detection of Uxo Anomalies Using Extended Euler Deconvolution

The paper presents an algorithm for automatic detection of UXO anomalies in total-field<br>magnetic data based on the concept of structural index (SI) of a magnetic anomaly. The magnetic<br>field produced by a dipole-like, source such as a UXO, varies with inverse distance cubed and<br>therefore has an SI of 3. Identifying magnetic anomalies having structural indices of 3 enables direct<br>detection of potential UXO targets. The recently developed Hilbert based extended Euler<br>deconvolution method (Nabighian and Hansen, 2001) provides an efficient means for calculating the<br>SI by utilizing the Euler equations for the two components of 3D Hilbert transform. We first perform<br>extended Euler deconvolution to compute SI as a function of position and window size. At each<br>location, we examine the Euler solutions from different window sizes and identify the ones whose SI<br>is within a small tolerance of 3. Existence of such a solution indicates the presence of a potential<br>UXO target.