Reverse-Time Migration from Rugged Topography to Image Ground-Penetrating Radar Data in Complex Environments

Clicks: 397
ID: 63569
2018
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #2 of 5 articles by views in Engineering

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
In ground-penetrating radar (GPR) imaging, it is common for the depth of investigation to be on the same order as the variability in surface topography. In such cases, migration fails when it is carried out from a datum after the application of elevation statics. We introduce a reverse-time migration (RTM) algorithm based on the second-order decoupled form of Maxwell’s equations, which requires computation of only the electric field. The wavefield extrapolation is computed directly from the acquisition surface without the need for datuming. In a synthetic case study, the algorithm significantly improves image accuracy over a processing sequence in which migration is performed after elevation statics. In addition, we acquired a field dataset at the Coral Pink Sand Dunes (CPSD) in Utah, USA. The data were acquired over rugged topography and have the complex internal stratigraphy of multiply eroded, modern, and ancient eolian deposits. The RTM algorithm significantly improves radar depth images in this challenging environment. Keywords: Ground-penetrating radar, Reverse-time migration, Sand dune, Amplitude analysis
Reference Key
bradford2018reversetimeengineering Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Bradford, John H.;Privette, Janna;Wilkins, David;Ford, Richard;
Journal Engineering
Year 2018
DOI
DOI not found
URL
http://www.sciencedirect.com/science/article/pii/S2095809918304594
Keywords
Engineering (General). Civil engineering (General) Technology Science Aquaculture. Fisheries. Angling environmental sciences applied optics. photonics environmental engineering geology stratigraphy

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.