Electrical and Computer Engineering ETDs
Publication Date
6-25-2010
Abstract
A need exists to reliably detect and characterize underground structures from immediately above the Earth's surface within the vicinity of the structures, as well as via aerial surveys. Sandia National Labs and the University of New Mexico have collaborated to study the feasibility of detecting and characterizing underground structures, specifically hollow rectangular-shaped caverns. This thesis covers the computational aspects of this investigation and also focuses on the detection of caverns from immediately above the Earth's surface. Three-dimensional, full-vector Maxwell's equations finite-difference time-domain (FDTD) modeling is employed to obtain the signatures for different caverns of various depths and dimensions. It is found that by removing the signature of the ground, the presence of an underground structure is detectable.
Keywords
Caves--Remote sensing--Data processing, Maxwell equations--Numerical solutions, Finite differences, Time-domain analysis.
Sponsors
Sandia National Laboratories
Document Type
Thesis
Language
English
Degree Name
Electrical Engineering
Level of Degree
Masters
Department Name
Electrical and Computer Engineering
First Committee Member (Chair)
Simpson, Jamesina
Second Committee Member
Schamiloglu, Edl
Third Committee Member
Atwood, Tom
Recommended Citation
Ethan, Tanner. "Remote-sensing of underground caverns using a full-Maxwell's equations FDTD model." (2010). https://digitalrepository.unm.edu/ece_etds/83