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1 February 2018 Survey and Insights into Unmanned Aerial-Vehicle-Based Detection and Documentation of Clandestine Graves and Human Remains
Bryce Murray, Derek T. Anderson, Daniel J. Wescott, Robert Moorhead, Melissa F. Anderson
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Abstract

Numerous biological and archaeological studies have demonstrated the legitimacy of remote sensing in anthropology. This article focuses on detecting and documenting terrestrial clandestine graves and surface remains (CGSR) of humans using unmanned aerial vehicles (UAVs), sensors, and automatic processing algorithms. CGSR is a problem of complex decision making under uncertainty that requires the identification and intelligent reasoning about direct evidence of human remains and their environmental fingerprints. As such, it is as much an engineering and geospatial problem as it is an anthropology problem. This article is an effort to survey existing work across disciplines and to provide insights and recommendations to assist future research. To support our claims, preliminary experiments were performed at the Forensic Anthropological Research Facility at Texas State University using UAVs, hyperspectral imaging, thermal imaging, and structure from motion. Prior work, our experience, and preliminary results indicate that both great potential and extreme challenges face remote sensing of CGSR.

© 2018 Wayne State University Press, Detroit, Michigan 48201
Bryce Murray, Derek T. Anderson, Daniel J. Wescott, Robert Moorhead, and Melissa F. Anderson "Survey and Insights into Unmanned Aerial-Vehicle-Based Detection and Documentation of Clandestine Graves and Human Remains," Human Biology 90(1), 45-61, (1 February 2018). https://doi.org/10.13110/humanbiology.90.1.03
Received: 30 April 2018; Accepted: 3 May 2018; Published: 1 February 2018
JOURNAL ARTICLE
17 PAGES


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KEYWORDS
computational systems
forensic anthropology
remote sensing
sensor payloads
Unmanned Aerial Vehicle
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