Holocaust Archaeology: Using Ground Penetrating Radar to Locate a Jewish Mass Grave in Kaunas, Lithuania

Burds, Luke; Beck, Joseph D.; Mataitis, Richard J.; Jol, Harry M.; Freund, Richard; McClymont, Alastair; Bauman, Paul

doi:10.1109/icgpr.2018.8441590

Cited by 6 publications

(5 citation statements)

References 5 publications

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“…Other geophysical researchers have used other geophysical search methods to locate such targets, including bulk ground conductivity [13,14,17], electrical resistivity [15,41] and magnetics [17,42]. Other researchers have used more densely collected GPR datasets [18][19][20] although [21] evidenced that 2D surveys were optimal to locate such historical grave targets. For the intrusive investigations, other anomalous areas could have been targeted but weren't due to the lack of survey time.…”

Section: Discussionmentioning

confidence: 99%

“…Other forensic searches have identified mass graves from similar historic conflicts (e.g. [17][18][19][20]), including one well documented study of other American Revolutionary war sites [21]. While these researchers provide critically helpful information on optimal procedures and geophysical signatures for identifying historic mass graves, the Kettle Creek battlefield site had some unique challenges.…”

Section: Introductionmentioning

confidence: 99%

“…Forensic archaeology began to be applied to the search, recovery, and identification of human rights victims in the 1980s [43], now common in both forensic research and applied programs searching for victims of war crimes (e.g. [20,[44][45][46][47][48], and protest victim sites [17], as well as other "conflict casualties" [49], which include fallen soldiers both defending and oppressing human rights. This work is particularly important when considering topics of closure, identity, and history for the families of victims [50], especially when those descendants may have lived through the violative event [51].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Large-scale forensic search for fallen soldier burials from the American revolutionary war at Kettle Creek battlefield, Georgia, USA

Bigman¹,

Noble²,

Sargent³

et al. 2023

Forensic Science International: Reports

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Large-scale forensic search for fallen soldier burials from the American revolutionary war at Kettle Creek battlefield, Georgia, USA

Bigman¹,

Noble²,

Sargent³

et al. 2023

Forensic Science International: Reports

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“…Techniques, using Ground Penetrating Radar (GPR), allow nondestructive investigations of the subsurface using electromagnetic waves. GPR is used in many different applications such as archeology (Burds et al, 2018), civil engineering (Baek et al, 2018), geophysical surveys and safety (Hu et al, 2018), pipe detection (Zhou et al, 2019;Yamaguchi et al, 2020), forensics and landmine detection (Daniels and Allan, 2009). In detail, GPR systems enable the detection of buried objects, which disturb the propagation of the radar signal in the underground.…”

Section: Introductionmentioning

confidence: 99%

3d Mapping of Buried Pipes in Multi-Channel GPR Data

Karle

Boldt

Thiele

et al. 2022

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Ground Penetrating Radar (GPR) allows a non-destructive analysis of the subsurface by using electromagnetic waves. GPR is used in application fields such as archeology and civil engineering, where the detection of buried objects is in demand. Such objects, e.g. pipes, lead to a disturbance of the propagation of the radar signal in the underground. A manual detection of disturbing objects can be both time-consuming and tedious, depending on the number of GPR images to be investigated. Hence, automatic methods should be considered. In this study, an object-oriented image analysis approach for the automatic detection and mapping of buried pipes is presented and evaluated. As dataset, measurements of the multi-channel system Stream C are considered.

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“…GPR sensor systems and their image products are of interest in applications, where an analysis of the underground and its contents is of interest. For example, this is the case in archeology [1] and civil engineering [2]. In the latter case, especially the detection of buried pipes or other man-made objects is a wide field of application [3].…”

Section: Introductionmentioning

confidence: 99%

Training data generation for machine learning using GPR images

Boldt

Thiele²,

Schulz³

2022

Earth Resources and Environmental Remote Sensing/Gis Applications XIII

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Ground Penetrating Radar (GPR) systems allow the acquisition of images displaying the contents of the underground. Hence, GPR is used everywhere, where structures underneath the visible surface have to be investigated. Consequently, typical application fields are archeology and civil engineering, especially the detection of cables, pipes or other manmade objects. GPR sensors can consist of one channel or of multiple channels, placed side by side. In the latter case, it is possible to acquire a two-dimensional image for each measurement, where the number of channels represents the number of columns in the image matrix. Since a typical track of measurements often contains multiple of thousands GPR images, a visual analysis with focus on the detection of buried objects might be uneconomically. Moreover, due to its noisy characteristic in relation to the specific underground, it is often not easy to interpret GPR images immediately. In this study, an unsupervised approach is presented, that provides both help for the visual analysis of GPR images and for the detection of potential buried objects. Therefore, it is usable to quickly generate or enlarge training datasets for machine learning approaches aiming at the analysis of GPR data. As test data, several measuring tracks acquired by the multi-channel Stream C system at the site of Frankfurt University (GER) are available. The workflow consists of two central processing steps: Change detection and data augmentation.

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Holocaust Archaeology: Using Ground Penetrating Radar to Locate a Jewish Mass Grave in Kaunas, Lithuania

Cited by 6 publications

References 5 publications

Large-scale forensic search for fallen soldier burials from the American revolutionary war at Kettle Creek battlefield, Georgia, USA

Large-scale forensic search for fallen soldier burials from the American revolutionary war at Kettle Creek battlefield, Georgia, USA

3d Mapping of Buried Pipes in Multi-Channel GPR Data

Training data generation for machine learning using GPR images

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