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This module covers the overall plan of attack of our project.

Having demonstrated how Kirchhoff Imaging techniques work, we may now outline and perform a brief demonstration of their implementations. In this section, we will give a general overview of our procedure and our model.

First we created bitmap images that represented surfaces to be imaged. We used two different images in this experiment, one of a mountain and one of the word "ELEC." We use these images to compare to the output of our imaging code.

We gave these files to Dr. Bill Symes who ran a simulated sesimic survey and returned time series vectors to us that represeneted the sound signals received.

Process steps

Dr. Symes simulated the survey and then we processed the resulting time vectors

First we filtered our time vectors to eliminate any noise that may have been added in the survey. The image of the mountain was processed with no noise and the image of "ELEC" was processed with noise. When noise was present we analyzed the vectors in both the time and frequency domains to compare the effectiveness of our various algorithms

Finally we sent our filtered vectors to our imaging program that attempted to reconstruct the image by caluculating the ellipses of possible surface locations and adding them all up. The final results were analyzed to discuss the overall effectiveness of the procedure.

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Source:  OpenStax, Seismic imaging. OpenStax CNX. Dec 16, 2004 Download for free at http://cnx.org/content/col10251/1.1
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