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High-Resolution Subsurface Imaging And Neural Network Recognition
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 7th EEGS Symposium on the Application of Geophysics to Engineering and Environmental Problems, Mar 1994, cp-208-00055
Abstract
A high-frequency, high-resolution electromagnetic (EM) imaging system is being<br>developed for environmental geophysics surveys. Some key features of this system<br>include: (1) rapid surveying to allow dense spatial sampling over a large area, (2)<br>high-accuracy measurements which will be used to produce a high-resolution image<br>of the subsurface, (3) measurements which have excellent signal-to-noise ratio over a<br>wide bandwidth (32 kHz to 32 MHz), (4) large-scale physical modeling to produce<br>accurate theoretical responses over targets of interest in environmental geophysics<br>surveys, (5) rapid neural network interpretation at the field site, and (6) visualization of<br>complex structures during the survey.