Abstract

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.

Original languageEnglish
Title of host publicationNew Knowledge in Information Systems and Technologies - Volume 1
EditorsHojjat Adeli, Luís Paulo Reis, Álvaro Rocha, Sandra Costanzo
PublisherSpringer
Pages58-67
Number of pages10
ISBN (Print)9783030161804
DOIs
Publication statusPublished - 1 Jan 2019
EventWorld Conference on Information Systems and Technologies, WorldCIST 2019 - Galicia
Duration: 16 Apr 201919 Apr 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume930
ISSN (Print)2194-5357

Conference

ConferenceWorld Conference on Information Systems and Technologies, WorldCIST 2019
CountrySpain
CityGalicia
Period16/04/1919/04/19

Fingerprint

Excavation
Electromagnetic induction
Clustering algorithms
Magnetic properties
Earth (planet)
Magnetic fields

Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Ilinykh, S., Grafeeva, N., Mikhailova, E., & Egorova, O. (2019). Segmentation of Magnetic Anomalies in the Conduct of Archaeological Excavations. In H. Adeli, L. P. Reis, Á. Rocha, & S. Costanzo (Eds.), New Knowledge in Information Systems and Technologies - Volume 1 (pp. 58-67). (Advances in Intelligent Systems and Computing; Vol. 930). Springer. https://doi.org/10.1007/978-3-030-16181-1_6
Ilinykh, Sofya ; Grafeeva, Natalia ; Mikhailova, Elena ; Egorova, Olga. / Segmentation of Magnetic Anomalies in the Conduct of Archaeological Excavations. New Knowledge in Information Systems and Technologies - Volume 1. editor / Hojjat Adeli ; Luís Paulo Reis ; Álvaro Rocha ; Sandra Costanzo. Springer, 2019. pp. 58-67 (Advances in Intelligent Systems and Computing).
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title = "Segmentation of Magnetic Anomalies in the Conduct of Archaeological Excavations",
abstract = "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.",
keywords = "Archeology, Image segmentation, Magnetometric survey",
author = "Sofya Ilinykh and Natalia Grafeeva and Elena Mikhailova and Olga Egorova",
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Ilinykh, S, Grafeeva, N, Mikhailova, E & Egorova, O 2019, Segmentation of Magnetic Anomalies in the Conduct of Archaeological Excavations. in H Adeli, LP Reis, Á Rocha & S Costanzo (eds), New Knowledge in Information Systems and Technologies - Volume 1. Advances in Intelligent Systems and Computing, vol. 930, Springer, pp. 58-67, Galicia, 16/04/19. https://doi.org/10.1007/978-3-030-16181-1_6

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, 2019. p. 58-67 (Advances in Intelligent Systems and Computing; Vol. 930).

Research output

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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.

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Ilinykh S, Grafeeva N, Mikhailova E, Egorova O. Segmentation of Magnetic Anomalies in the Conduct of Archaeological Excavations. In Adeli H, Reis LP, Rocha Á, Costanzo S, editors, New Knowledge in Information Systems and Technologies - Volume 1. Springer. 2019. p. 58-67. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-030-16181-1_6