Assessing the performance of mine detection systems usually means calculating probability of detection (Pd) and a false-alarm rate (FAR). Relying on these measures of performance is a consequence of the way in which mine detection systems are tested. Most advanced technology demonstrations of mine detection systems require the participating contractors to provide the testing agency with a set of alarms, or declarations, that correspond to locations on the ground where a mine is suspected to be buried. Superimposing these alarms with the ground truth, or baseline, allows one to compute the Pd and the FAR, but does not give insight into issues such as signal-to-noise ratios or signal-to-clutter ratios. With knowledge of S/N and S/C ratios, expected performance can be compared with demonstrated performance to determine how sensor sensitivity affects overall performance. In addition, S/C ratios provide a means to judge relative performance, but Pd and FAR alone can be ambiguous. We present an analysis of three mine detection systems based on the raw sensor signals recorded during tests and data collection exercises. The three systems we examine are Planning Systems Incorporated's ground-penetrating synthetic-aperture radar (GPSAR), the University of Mississippi's Acoustic/Seismic laser Doppler vibrometer (LDV), and TRW's passive microwave sensor. Although phenomenologically different, these sensors used to detect buried mines are assessed using similar metrics, such as S/C ratio. In addition, when features such as size and shape of the returned signal are expected to increase Pd and/or decrease the FAR, we examine them.


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    Title :

    Performance assessment of mine detection systems


    Contributors:


    Publication date :

    2000


    Size :

    12 Seiten, 7 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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