DocumentCode :
168764
Title :
Internal structure characterization of living tree trunk cross-section using GPR: Numerical examples and field data analysis
Author :
Lei Fu ; Sixin Liu ; Lanbo Liu
Author_Institution :
Sch. of Geo-Exploration Sci. & Technol., Jilin Univ., Changchun, China
fYear :
2014
fDate :
June 30 2014-July 4 2014
Firstpage :
155
Lastpage :
160
Abstract :
This paper reports a ray-based tomography method using ground penetrating radar (GPR) to reconstruct the internal structure of the trunk cross-section of a living oak tree. The point cloud technique is used to depict the shape and size of the truck cross-section. A GPR ray-based tomography method is used to image the velocity and attenuation distribution of a living trunk cross-section. The tomography technique is tested on synthetic data from a typical healthy oak model and a rotted oak model. The feasibility is evaluated from the numerical experiments. Field data is acquired on an oak tree by using GSSI SIR-3000 radar system, the radar dataset consists of 30 radar profiles, travel time and centroid frequency downshift information are extracted from the radar dataset to reconstruct the permittivity and electrical conductivity distribution of the living trunk cross-section.
Keywords :
electrical conductivity; ground penetrating radar; permittivity; tomography; CPR ray-based tomography method; CSSI SIR-3000 radar system; attenuation distribution; centroid frequency downshift information; electrical conductivity distribution; field data analysis; ground penetrating radar; healthy oak model; internal structure characterization; living oak tree; living tree trunk cross-section; living trunk cross-section; permittivity; point cloud technique; radar dataset; ray-based tomography method; rotted oak model; tomography technique; travel time; trunk cross-section; Conductivity; Conductivity measurement; Educational institutions; Indexes; Size measurement; Vegetation; Voltage measurement; GPR; Point Cloud; Tomography; Tree Structure;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ground Penetrating Radar (GPR), 2014 15th International Conference on
Conference_Location :
Brussels
Type :
conf
DOI :
10.1109/ICGPR.2014.6970405
Filename :
6970405
Link To Document :
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