SFGPR RFI Suppression Using Wavelet Packet Selective Algorithm

This paper presents a wavelet packet selective algorithm to suppress the radio frequency interference (RFI) in the step-frequency ground-penetrating radar (SFGPR). Based on the property and the form of RFI in the frequency domain of radar echo, the methods of RFI suppression are studied, and the new algorithm is proposed. Using the new algorithm to suppress the RFI in experimental GPR data, the result of the experimentation shows that the algorithm can effectively suppress the RFI in SFGPR. Finally, the performance of the algorithm is analyzed and evaluated. Compared with the median filter algorithm, the ability of the new algorithm to suppress the RFI is significantly improved.

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Classification of Ground Penetrating Radar Echo Signals using Wavelet Packet and RBF

2006 IEEE Conference on Radar ◽

10.1109/radar.2006.1631836 ◽

2006 ◽

Author(s):

Wei Zhou ◽

Gaofeng Wang ◽

Xi Chen ◽

Mo Chen ◽

Mao Tian

Keyword(s):

Ground Penetrating Radar ◽

Wavelet Packet ◽

Radar Echo ◽

Ground Penetrating

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Ground Penetrating Radar Survey of the Floor of the Accademia Gallery (Florence, Italy)

Remote Sensing ◽

10.3390/rs13071273 ◽

2021 ◽

Vol 13 (7) ◽

pp. 1273

Author(s):

Lapo Miccinesi ◽

Alessandra Beni ◽

Silvia Monchetti ◽

Michele Betti ◽

Claudio Borri ◽

...

Keyword(s):

Ground Penetrating Radar ◽

Air Conditioning ◽

Underground Structure ◽

Step Frequency ◽

Ground Floor ◽

The Public ◽

Ground Penetrating

This paper reports the results of a ground penetrating radar (GPR) survey of the ground-floor of Academia Gallery (Florence, Italy) where the Michelangelo’s David is exhibited to the public. The equipment used was a step-frequency GPR operating in the 100 MHz-1 GHz band, named ORFEUS. The survey covered an area of 13 m × 7.3 m, and the scans were performed along two orthogonal directions. Acquisitions in the same direction were separated by 0.25 m from each other. The GPR was able to confirm the underground structure, as it can be deducted by planimetry and historical documentation. In particular, the radar clearly detected the air-conditioning ducts under the floor and an approximately circular foundation below the basement of the statue.

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An l1-regularized least squares algorithm for reconstructing step-frequency ground penetrating radar images

2016 IEEE Radar Conference (RadarConf) ◽

10.1109/radar.2016.7485297 ◽

2016 ◽

Cited By ~ 1

Author(s):

Henry C. Ogworonjo ◽

John M. M. Anderson ◽

Mandoye Ndoye ◽

Lam Nguyen

Keyword(s):

Least Squares ◽

Ground Penetrating Radar ◽

Step Frequency ◽

Regularized Least Squares ◽

Radar Images ◽

Least Squares Algorithm ◽

Ground Penetrating

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Step-Frequency Ground Penetrating Radar for Agricultural Soil Morphology Characterisation

Remote Sensing ◽

10.3390/rs11091075 ◽

2019 ◽

Vol 11 (9) ◽

pp. 1075

Author(s):

Federico Lombardi ◽

Maurizio Lualdi

Keyword(s):

Ground Penetrating Radar ◽

Precision Agriculture ◽

Continuous Wave ◽

Textural Properties ◽

Electromagnetic Properties ◽

Soil Morphology ◽

Agricultural Field ◽

Step Frequency ◽

Imaging Results ◽

Ground Penetrating

Soil morphology plays a fundamental role in the vertical and lateral movements of solutes and water transport, providing knowledge regarding spatial distribution of its textural properties and subsurface dynamics. In this framework, the measured values of electrical conductivity are able to reveal the heterogeneity of soil that is present in a particular agricultural field and they are affected by more than one important physical characteristic: soil texture, organic matter, moisture content, and the depth of the clay pan. In the microwave region, these dynamics are known to exhibit a frequency dependent behaviour. This study explores the application of a Step Frequency Continuous Wave Ground Penetrating Radar (SFCW GPR) to shed light on the practical impact that these dependencies have on the imaging results, not only regarding the electrical characterisation of the subsurface morphology, but also in its correct interpretation. This information is of notable importance for determining water-use efficiency and planning precision-agriculture programs. The results clearly show visible and significant fluctuations of the amplitude levels, depending on the considered central frequency, demonstrating that the frequency dependence of electromagnetic properties of heterogeneous soil are significant and cannot be ignored if the aim is to properly define the subsurface attributes. The measurements also suggest that correlating the delineated variations might help in the identification of extended features and the classification of areas that possess similar properties in order to increase the confidence in monitoring soil resources.

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