학술논문

Optimized SVD Approach for the Detection of Weak Subsurface Targets From Ground-Penetrating Radar Data
Document Type
Periodical
Source
IEEE Transactions on Geoscience and Remote Sensing IEEE Trans. Geosci. Remote Sensing Geoscience and Remote Sensing, IEEE Transactions on. 51(3):1635-1642 Mar, 2013
Subject
Geoscience
Signal Processing and Analysis
Arrays
Ground penetrating radar
Vehicles
Global Positioning System
Antenna arrays
Dielectrics
Soil measurements
Change detection algorithms
electromagnetic propagation
ground penetrating radar
sensor arrays
Language
ISSN
0196-2892
1558-0644
Abstract
We propose a two-pass ground-penetrating radar (GPR) approach to detect recently buried nonmetallic scatterers whose signals are otherwise undistinguishable from surrounding clutter. The operating framework is based on a pass-1 data collection over an object-free ground and a pass-2 data collection over the same ground, yet at unregistered positions, which may be contaminated by a recently implanted dielectric scatterer. The detection algorithm is based on a modified singular value decomposition approach and is shown to perform significantly better than a direct signal cancellation approach. Validating results are presented on measured target-free data to which synthetic targets of various strengths are added. Multiple realizations along the measurement path of the GPR array provide statistical diversity to the results which is cast as receiving operating curves, showing quantitatively the improved detection threshold of the new method.