> KF filters can be used for removing heading induced signal
OK - fits what I'd use them for
> filters can be zeroed on regions with no shafts to see if an enhanced response can be amplified when processing the return over ground with a shaft to the surface
OK - I see, look for outliers as positives, though the input signals here are not clear I can see the path. Your KF filters produce a "likely signal" and that is used downstream to actually do estimation. Probably, if I've learned anything, by plotting those "likely signals" on a map and dispatching a team with cameras.
> Other tells for lost 'hidden' shafts might include Lidar profiles of spoil heaps
Here we're outside what I'd call just "filtering". It's more like a big data science problem to model and label mounds.
I was just confused by zeroing in on "KF" in the comment above. If we're talking a big data pipeline, then yeah, KF has its place in all that.