Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Magnetometry data processing to detect archaeological sites. / Grafeeva, Natalia; Mikhailova, Elena; Pashkova, Mariya; Ilinykh, Sofya.
International Multidisciplinary GeoConference SGEM 2017: 17. INFORMATICS, GEOINFORMATICS. STEF92 Technology Ltd., 2017. p. 393-400 (International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM; Vol. 17, No. 21).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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TY - GEN
T1 - Magnetometry data processing to detect archaeological sites
AU - Grafeeva, Natalia
AU - Mikhailova, Elena
AU - Pashkova, Mariya
AU - Ilinykh, Sofya
PY - 2017/1/1
Y1 - 2017/1/1
N2 - This article discusses the use of different algorithms for analyzing data obtained by magnetic measurements in archaeological excavations. The aim of this work is the automatic detection of possible anomalies in data that may indicate the presence of archaeological sites. The article discusses two kinds of anomalies – useful (caused by the presence of archaeological sites) and spot anomalies (caused by the presence of various metal debris). Spot anomalies create local noise that interfere with the determination of the spatial anomalies caused by the remains of ancient buildings, such as walls of houses, wells, dugouts, etc. The paper proposes algorithms that allow to exclude from the data spot anomalies and to concentrate on identifying spatial anomalies. Also discusses innovative methods that allow to determine the contours of the spatial anomalies (archaeological sites). The algorithms were tested on many real data sets, obtained during excavations in the Crimea, and showed good results.
AB - This article discusses the use of different algorithms for analyzing data obtained by magnetic measurements in archaeological excavations. The aim of this work is the automatic detection of possible anomalies in data that may indicate the presence of archaeological sites. The article discusses two kinds of anomalies – useful (caused by the presence of archaeological sites) and spot anomalies (caused by the presence of various metal debris). Spot anomalies create local noise that interfere with the determination of the spatial anomalies caused by the remains of ancient buildings, such as walls of houses, wells, dugouts, etc. The paper proposes algorithms that allow to exclude from the data spot anomalies and to concentrate on identifying spatial anomalies. Also discusses innovative methods that allow to determine the contours of the spatial anomalies (archaeological sites). The algorithms were tested on many real data sets, obtained during excavations in the Crimea, and showed good results.
KW - Archaeological excavations
KW - Boundary extraction
KW - Magnetometry
KW - Noise filtering
KW - Spatial data smoothing
UR - http://www.scopus.com/inward/record.url?scp=85032505569&partnerID=8YFLogxK
U2 - 10.5593/sgem2017/21/S07.050
DO - 10.5593/sgem2017/21/S07.050
M3 - Conference contribution
AN - SCOPUS:85032505569
SN - 9786197408010
T3 - International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM
SP - 393
EP - 400
BT - International Multidisciplinary GeoConference SGEM 2017
PB - STEF92 Technology Ltd.
T2 - 17th International Multidisciplinary Scientific Geoconference, SGEM 2017
Y2 - 29 June 2017 through 5 July 2017
ER -
ID: 35297057