Resampling Irregularly Sampled Data
, by Dave Hale
Many data processing tools require that seismic data be sampled at regular
intervals in space and time. Because uniform spatial sampling is often
difficult, a resampling technique is needed to convert irregulary sampled
data to uniformly sampled data. Two possible techniques are discussed in
this paper.
The first resampling method discussed is exact, costly, and very sensitive
to local error (i.e. a few bad samples). The second method is approximate,
cheap, and insensitive to local error. Tests were conducted to compare the
performance of the two methods in resampling data containing errors likely
to be found in seismic data. The results of these tests indicate that the
second method should be used to resample most irregularly sampled seismic
data.
STANFORD