Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published February 10, 1988 | Published
Journal Article Open

Adaptation of back projection tomography to seismic travel time problems

Abstract

A back projection method of reconstruction is adapted to invert seismic travel time data for velocity structure. Adaptations are made so that the inhomogeneous and anisotropic ray sets and the three-dimensional geometries commonly dealt with in seismic experiments can be handled with greater success. Jacobi iteration, deconvolution, and ray weighting work well in augmenting the basic back projection method to produce a well-focused image. These methods succeed by amounts that depend on the quality of the ray coverage. Also, the ability to reconstruct an accurate image when the data include moderate amounts of noise is shown to be good. Comparison of inversions produced with back projection tomography and with damped least squares indicate that the two methods are comparable in their ability to reconstruct an image of the actual structure. The back projection approach, however, is much more computer efficient. In practice, this allows for the construction of more detailed inversions.

Additional Information

© 1988 American Geophysical Union. Received 29 December 1986; accepted 19 November 1987. This work has benefited from many discussions with Rob Comer, John Fawcett, and Tom Hearn, a group of people brought together at the California Institute of Technology (Caltech) by their mutual interest in the theory and application of back projection tomography. We would like to thank Bob Langan and anonymous reviewers who contributed to the quality of this paper. This study was supported by the U.S. Geological Survey (USGS 14-08-0001-G1171) and by an NSF-PYI award to RWC. Contribution 4502 from the Seismological Laboratory, Caltech.

Attached Files

Published - Humphreys1988.pdf

Files

Humphreys1988.pdf
Files (1.7 MB)
Name Size Download all
md5:41272567dd8a79fc7393c128a074e1fa
1.7 MB Preview Download

Additional details

Created:
August 19, 2023
Modified:
October 19, 2023