zenodorestricted
Deep-unrolling architecture for image-domain least-squares migration
<p>A general deep-unrolling architecture is proposed to solve the ill-posed inverse problem in the geophysical community. We apply the DU architecture to image-domain least-squares migration, which can provide improved reflectivity estimates. Moreover, the DU architecture can regularize the inversion process and can produce a qualitative measure of the uncertainty. The zip file "DU-IDLSM.rar" is the code of Python for DU-IDLSM and "data.rar" is bin data for DU-IDLSM. </p>
ShareScore
24/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 8
- Reuse readiness
- 0
- Engagement
- 4