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A scatter-plot of A vs. B from the synthetic data image used in this study is seen in Figure 4.
There is a noticeable clustering of points
in the middle of the plot. These correspond to the background values, or those parts of the image that
are not associated with a Class III anomaly. The points farthest from the origin in quadrants I (upper-right)
and III (lower-left)
are parts of the image that are associated with a Class III anomaly. Thus, a mute fairway can be defined
where values in the fairway are regarded as background parts of the image (Figure 5). These values are muted, and
we are left with a scatter-plot of points where a Class III AVO anomaly is detected (Figure 6).
When transformed back into two panels (A and B) and multiplied together (A*B), the resultant
image has energy only at areas associated with an interpreted
Class III AVO anomaly.
Next: Synthetic Data Example
Up: AVA Analysis Algorithm
Previous: Extracting A and B
Stanford Exploration Project
4/29/2001