Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Segmentation of Magnetic Anomalies in the Conduct of Archaeological Excavations. / Ilinykh, Sofya; Grafeeva, Natalia; Mikhailova, Elena; Egorova, Olga.
New Knowledge in Information Systems and Technologies - Volume 1. ed. / Hojjat Adeli; Luís Paulo Reis; Álvaro Rocha; Sandra Costanzo. Springer Nature, 2019. p. 58-67 (Advances in Intelligent Systems and Computing; Vol. 930).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
}
TY - GEN
T1 - Segmentation of Magnetic Anomalies in the Conduct of Archaeological Excavations
AU - Ilinykh, Sofya
AU - Grafeeva, Natalia
AU - Mikhailova, Elena
AU - Egorova, Olga
PY - 2019/1/1
Y1 - 2019/1/1
N2 - There are different ways to identify sites for future excavation in archaeology. One of these methods is based on magnetic properties of hidden underground objects and is carried out by means of magnetometric survey. In the pre-selected points the magnetic induction module of geomagnetic field is measured. Then the data is preprocessed (for example, changes in the Earth’s total magnetic field are taken into account). After that, the researchers build a map of the area and estimate the probability that there are objects of archaeological value in the selected area. Based on this map the decision is taken whether it is worth to conduct excavations. However, both useful anomalies caused by the presence of archaeological sites and anomalies of a random nature can be simultaneously presented on the map. Unfortunately, sometimes it is quite difficult for a human to detect with one’s eyes what anomalies are useful in the picture. In this article a process of automatic allocation of segments of archaeological objects is described. For this purpose specific smoothing and adaptive threshold binarization methods as well as clustering algorithms are considered.
AB - There are different ways to identify sites for future excavation in archaeology. One of these methods is based on magnetic properties of hidden underground objects and is carried out by means of magnetometric survey. In the pre-selected points the magnetic induction module of geomagnetic field is measured. Then the data is preprocessed (for example, changes in the Earth’s total magnetic field are taken into account). After that, the researchers build a map of the area and estimate the probability that there are objects of archaeological value in the selected area. Based on this map the decision is taken whether it is worth to conduct excavations. However, both useful anomalies caused by the presence of archaeological sites and anomalies of a random nature can be simultaneously presented on the map. Unfortunately, sometimes it is quite difficult for a human to detect with one’s eyes what anomalies are useful in the picture. In this article a process of automatic allocation of segments of archaeological objects is described. For this purpose specific smoothing and adaptive threshold binarization methods as well as clustering algorithms are considered.
KW - Archeology
KW - Image segmentation
KW - Magnetometric survey
UR - http://www.scopus.com/inward/record.url?scp=85064884281&partnerID=8YFLogxK
UR - http://www.mendeley.com/research/segmentation-magnetic-anomalies-conduct-archaeological-excavations
U2 - 10.1007/978-3-030-16181-1_6
DO - 10.1007/978-3-030-16181-1_6
M3 - Conference contribution
AN - SCOPUS:85064884281
SN - 9783030161804
T3 - Advances in Intelligent Systems and Computing
SP - 58
EP - 67
BT - New Knowledge in Information Systems and Technologies - Volume 1
A2 - Adeli, Hojjat
A2 - Reis, Luís Paulo
A2 - Rocha, Álvaro
A2 - Costanzo, Sandra
PB - Springer Nature
T2 - World Conference on Information Systems and Technologies, WorldCIST 2019
Y2 - 16 April 2019 through 19 April 2019
ER -
ID: 42330858