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Currently, open source projects receive various kinds of issues daily, because of the extreme openness of Issue Tracking System (ITS) in GitHub. ITS is a labor-intensive and time-consuming task of issue categorization for project managers. However, a contributor is only required a short textual abstract to report an issue in GitHub. Thus, most traditional classification approaches based on detailed...
Polarimetric scattering characteristics are useful for classifying different radar targets. In particular, the entropy-based H-α classification method has been widely used in remote sensing for classifying land features with different polarimetric scattering properties. However, this method has not been widely adopted in ground penetrating radars (GPR) applications due to the lack of commercial fully...
It is useful to classify buried targets based on fully polarimetric scattering signatures. However, most conventional GPR systems have single polarization. We developed a novel survey and processing method for obtaining a fully polarimetric target scattering matrix from single-polarization GPR radars. The proposed method was verified by experimental data taken from free space measurements as well...
Although fully polarimetric analysis techniques have been applied to remote sensing radar for charactering different surface scattering properties using, these techniques have not yet been widely adopted for Ground Penetrating Radar (GPR) applications. In 2015 we applied the “H-alpha decomposition” technique to polarimetric GPR data for classifying buried metallic targets such as wire branches, a...
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