A methodology for the self‐training and self‐assessing of new GPR practitioners: Measuring diagnostic proficiency illustrated by a case study of a historic African‐American cemetery for unmarked graves.
In ground penetrating radar (GPR) surveys of African‐American cemeteries suspected to contain unmarked graves, determining the proficiency of a new GPR practitioner is vital and perhaps even more fundamental than that of the GPR hardware, deployment configuration and software. Proficiency may be def...
| Publicado en: | Archaeological Prospection Vol. 30; no. 3; pp. 311 - 326 |
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| Autores principales: | , |
| Formato: | Artículo |
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Wiley-Blackwell
Jul2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=171348880&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 171348880 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 10752196 58D jtl: Archaeological Prospection issn: 10752196 maglogo: Y pubinfo: dt: Jul2023 vid: 30 iid: 3 pid: 480 pub: Wiley-Blackwell artinfo: ui: 171348880 10.1002/arp.1893 ppf: 311 ppct: 15 formats: tig: atl: A methodology for the self‐training and self‐assessing of new GPR practitioners: Measuring diagnostic proficiency illustrated by a case study of a historic African‐American cemetery for unmarked graves. aug: au: Martin, Jacob Michael Everett, Mark E. affil: Department of Geology and Geophysics, Texas A&M University, College Station Texas, , USA su: Automatic gain control Ground penetrating radar Cemeteries Inspection & review Tombs Texas sug: subj: Texas Automatic gain control Ground penetrating radar Cemeteries Inspection & review Tombs keyword: African‐American cemeteries diagnostic proficiency GPR human element ab: In ground penetrating radar (GPR) surveys of African‐American cemeteries suspected to contain unmarked graves, determining the proficiency of a new GPR practitioner is vital and perhaps even more fundamental than that of the GPR hardware, deployment configuration and software. Proficiency may be defined as the practitioner's true‐positive, true‐negative, false‐positive (i.e., false alarms) and false‐negative (i.e., misses) percentages. We embarked on this research as a means to improve our own proficiency in unmarked grave detection and to develop an algorithm by which to improve the proficiency of any new GPR practitioner. After surveying the Salem Cemetery in Brazos County, TX, and the Old Danville‐Shepherd Hill Cemetery in Montgomery County, TX, we first classified subsurface targets based on in‐field, visual inspection of the real‐time, onscreen, unprocessed (except for an automatic gain control) GPR B‐scans. We then developed a proxy for ground‐truthing that allowed us to calculate the proficiency of the in‐field classifications. From this proxy, we established a quantitative prevalence threshold for identifying or rejecting a subsurface object as a target of interest. Its quantitative nature allowed us to quantitatively control and adjust that threshold, a threshold we set at 70% likely to be to a specific target of interest. We show that our classification accuracy increased from 66.2% at the Salem Cemetery to 75.0% at the Old Danville‐Shepherd Hill Cemetery and, through use of diagnostic evaluations originally developed for medical imaging and herein applied to geophysics, showed that the accuracy improved due to increases in true‐negative classifications, that is, in examining real‐time, onscreen, mostly unprocessed GPR B‐scans, discerning a potential target and correctly concluding it was not an unmarked grave. This research outlines the procedure we developed to measure the proficiency of a new GPR practitioner. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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