The Integration Of Imaging And Parameter Estimation In Shallow Geophysics

This paper presents two related approaches to signal processing of shallow geophysical<br>data based on the concept of geophysical diffraction tomography. While both methods can be<br>considered imaging, one is imaging in the traditional sense where images of spatial variations<br>in subsurface physical properties are reconstructed. The second method is one of parameter<br>estimation based upon known characteristics of targets of interest. This technique yields a<br>reconstruction of the spa.tial variations in the likelihood of a specified target being present,<br>the log likelihood function, and, consequently, this method can also be considered an imaging<br>procedure. Several examples are given of the results of selected signal processing algorithms<br>applied to actual data.