TY - JOUR

T1 - Smoothing algorithm for magnetometric data

AU - Pashkova, Mariya

AU - Ilinykh, Sofya

AU - Grafeeva, Natalia

PY - 2017

Y1 - 2017

N2 - This article presents the problem of searching useful magnetic anomalies by using the magnetometric survey methods. Metal debris (spot anomalies) often create local interference that makes it difficult to find vast spatial anomalies caused by the remnants of ancient buildings, such as walls of houses, wells, dugouts, etc. The main purpose of this study is to develop an algorithm that eliminates such interference. We explore the methods of working with magnetometric data and design an algorithm which is based on seeking spot anomalies and using the arithmetic method of smoothing spatial data. We test the final algorithm on many real datasets, obtained during excavations in the Crimea, and it shows good results.

AB - This article presents the problem of searching useful magnetic anomalies by using the magnetometric survey methods. Metal debris (spot anomalies) often create local interference that makes it difficult to find vast spatial anomalies caused by the remnants of ancient buildings, such as walls of houses, wells, dugouts, etc. The main purpose of this study is to develop an algorithm that eliminates such interference. We explore the methods of working with magnetometric data and design an algorithm which is based on seeking spot anomalies and using the arithmetic method of smoothing spatial data. We test the final algorithm on many real datasets, obtained during excavations in the Crimea, and it shows good results.

KW - Arithmetic mean of spatial data

KW - Magnetometric

KW - Spatial data smoothing

UR - http://www.scopus.com/inward/record.url?scp=85025135906&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85025135906

VL - 1864

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

SN - 1613-0073

T2 - 2nd Conference on Software Engineering and Information Management, SEIM 2017

Y2 - 21 April 2017

ER -