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Full-Text Articles in Engineering
Experimental Validation Of A Numerical Forward Model For Tunnel Detection Using Cross-Borehole Radar, Arvin Farid, Jose A. Martinez-Lorenzo, Akram N. Alshawabkeh, Carey M. Rappaport
Experimental Validation Of A Numerical Forward Model For Tunnel Detection Using Cross-Borehole Radar, Arvin Farid, Jose A. Martinez-Lorenzo, Akram N. Alshawabkeh, Carey M. Rappaport
Civil Engineering Faculty Publications and Presentations
The goal of this research is to develop an experimentally validated twodimensional (2D) finite difference frequency domain (FDFD) numerical forward model to study the potential of radar-based tunnel detection. Tunnel detection has become a subject of interest to the nation due to the use of tunnels by illegal immigrants, smugglers, prisoners, assailants, and terrorists. These concerns call for research to nondestructively detect, localize, and monitor tunnels. Nondestructive detection requires robust image reconstruction and inverse models, which in turn need robust forward models. Cross-Well Radar (CWR) modality is used for experimentation to avoid soil-air interface roughness. CWR is not a versatile …
Segmentations Of Through-The-Wall Radar Images, C H. Seng, M G. Amin, F Ahmad, A Bouzerdoum
Segmentations Of Through-The-Wall Radar Images, C H. Seng, M G. Amin, F Ahmad, A Bouzerdoum
Faculty of Engineering and Information Sciences - Papers: Part A
In this paper, we examine the use of image segmentation approaches for target detection in TWRI. The betweenclass variance thresholding, entropy-based segmentation, and Kmeans clustering are applied to segment target and clutter regions. Real 2D polarimetric images are used to demonstrate that simple histogram-based segmentation methods produce either comparable or improved performance over the Likelihood Ratio Tests (LRT) detector. Specifically, the results show that, for the cases considered, the entropy-based segmentation outperforms the other image segmentation methods and the LRT detector.
Determining The Vertical Profile Of Reflectivity Using Radar Observations At Long Range, Kate Snow, Alan Seed, George Takacs
Determining The Vertical Profile Of Reflectivity Using Radar Observations At Long Range, Kate Snow, Alan Seed, George Takacs
Faculty of Engineering and Information Sciences - Papers: Part A
The Vertical Profile of Reflectivity (VPR) plays an important role when estimating the rain rate at the surface and has been the subject of radar meteorology research for many years. The VPR can either be sampled directly from observations that are close to the radar where the impact of the convolution with the beam pattern can be ignored, or the parameters for a theoretical form for the VPR are estimated using the available observations or climatology. In either case, a significant difficulty arises when a rain band approaches the radar and quantitative precipitation estimates are required before any detailed observations …