GPR Method for the Detection and Characterization of Fractures and Karst Features: Polarimetry, Attribute Extraction, Inverse Modeling and Data Mining Techniques

GPR Method for the Detection and Characterization of Fractures and Karst Features: Polarimetry, Attribute Extraction, Inverse Modeling and Data Mining Techniques

The presence of fractures, joints and karst features within rock strongly influence the hydraulic and mechanical behavior of a rock mass, and there is a strong desire to characterize these features in a noninvasive manner, such as by using ground penetrating radar (GPR). These features can alter the...

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Bibliographic Details
Main Author: Sassen, Douglas Spencer
Other Authors: Everett, Mark E.
Format: Others
Language:en_US
Published: 2011
Subjects:
Ground Penetrating Radar
GPR
Hydrogeology
ecohydrology
unsupervised learning
inverse modeling
image enhancement
data mining
coherency
fractures
karst
Online Access:http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7307

Internet

http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7307

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