Stanford Exploration
Project
Brown
Nasty data complicates things
•
Problem #1:
Spikes in the raw
data.
•
Cause:
Mispositioned
measurements.
•
Effect:
Smeared spikes in final
map.
•
Solutions:
OK: median-filter data.
Better:
L1
norm inversion or IRLS.