Abstract: Ground Penetrating Radar: High Resolution Imaging of Braided River and Sandur Valley-fills  

AAPG Bulletin ◽  
1997 ◽  
Vol 81 (1997) ◽  
Author(s):  
MEYERS, RICHARD A. 
Keyword(s):  
High Resolution ◽  
Ground Penetrating Radar ◽  
High Resolution Imaging ◽  
Braided River ◽  
Valley Fills ◽  
Resolution Imaging ◽  
Ground Penetrating

scholarly journals High‐resolution imaging and monitoring of animal tunnels using 3D ground‐penetrating radar

2019 ◽  
Vol 17 (3) ◽  
pp. 291-298
Author(s):  
Niklas Allroggen ◽  
Adam D. Booth ◽  
Sandra E. Baker ◽  
Stephen A. Ellwood ◽  
Jens Tronicke
Keyword(s):  
High Resolution ◽  
Ground Penetrating Radar ◽  
High Resolution Imaging ◽  
Resolution Imaging ◽  
Ground Penetrating

Stepped-Frequency Radar Imaging Algorithm Based on Compression Sensing

2014 ◽  
Vol 543-547 ◽  
pp. 2609-2613 ◽  
Author(s):  
Lu Huang ◽  
Peng Yu Wang ◽  
Qian Song
Keyword(s):  
High Resolution ◽  
Ground Penetrating Radar ◽  
Real Data ◽  
Metal Mine ◽  
High Resolution Images ◽  
Resolution Imaging ◽  
Stepped Frequency ◽  
Compression Sensing ◽  
Ground Penetrating ◽  
Forward Looking

Compressive sensing (CS) theory asserts that one can recover original signals from far fewer random samples under the condition of being sparse. CS theory is applied to high resolution imaging of vehicle-mounted stepped-frequency forward-looking ground-penetrating radar. This paper explores an approach of obtaining discrete scattering structure of the metal mine based on CS imaging and extracting geometry parameters to discriminate targets. Real data of vehicle-mounted stepped-frequency forward-looking ground-penetrating radar is processed. High resolution images of the metal mine with double-scattering structure are obtained. The feasibility of the method is tested through these images.

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