Dynamic Nonlinear Optimization for Imaging in Seismic Exploration (DNOISE)

Other Project Members: 
Dr. Michael Friedlander, UBC Computer ScienceDr. Ozgur Yilmaz, UBC Math

DNOISE project adapts principles of compressive sensing to promote a ground-up formulation for seismic imaging where adverse subsampling-related artifacts are removed by intelligent simultaneous-acquisition design and recovery by transform-domain sparsity promotion. This research, in conjunction with our investigations in sparse recovery and time-harmonic Helmholtz solvers, aims to bring about fundamental breakthroughs in development and implementation of the next-generation of processing, imaging, and full-waveform inversion solutions.

https://www.slim.eos.ubc.ca/dynamic-nonlinear-optimization-for-imaging-in-seismic-exploration