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Remote-sensing of underground caverns using a full-Maxwell's equations FDTD model

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1928/10852

Remote-sensing of underground caverns using a full-Maxwell's equations FDTD model

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Title: Remote-sensing of underground caverns using a full-Maxwell's equations FDTD model
Author: Ethan, Tanner
Advisor(s): Simpson, Jamesina
Committee Member(s): Simpson, Jamesina
Schamiloglu, Edl
Atwood, Tom
Department: University of New Mexico. Dept. of Electrical and Computer Engineering
Subject(s): Remote Sensing
LC Subject(s): Caves--Remote sensing--Data processing.
Maxwell equations--Numerical solutions.
Finite differences.
Time-domain analysis.
Degree Level: Masters
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.
Graduation Date: May 2009
URI: http://hdl.handle.net/1928/10852

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