An application of integration approaches for archaeo-geophysical data: Case study from Aizanoi
Autor: | Elif Özer, Salvatore Piro, Daniela Zamuner, Niyazi Baydemir, Melda Küçükdemirci |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Archeology
History PCA Ground Penetrating Radar (GPR) ground penetrating radar (GPR) 060102 archaeology GPR principal component analyse 06 humanities and the arts Geophysics 010502 geochemistry & geophysics geophysical data integration 01 natural sciences magnetometry Ground-penetrating radar 0601 history and archaeology principal component analysis (PCA) graphical integration mathematical integration ground penetrating radar Geology Principal Component Analysis (PCA) 0105 earth and related environmental sciences Remote sensing |
Zdroj: | Archaeological prospection (Online) (2017). doi:10.1002/arp.1583 info:cnr-pdr/source/autori:Melda Küçükdemirci(1), Elif Özer(2), Salvatore Piro(3), Niyazi Baydemir(4), Daniela Zamuner(3)/titolo:AN APPLICATION OF INTEGRATION APPROACHES FOR ARCHAEO-GEOPHYSICAL DATA: Case study from Aizanoi/doi:10.1002%2Farp.1583/rivista:Archaeological prospection (Online)/anno:2017/pagina_da:/pagina_a:/intervallo_pagine:/volume Archeological Prospection |
DOI: | 10.1002/arp.1583 |
Popis: | Transforming multi-dimensional datasets, containing measurements of different physical parameters recorded at the same location, into a single composite imagery is quite important and frequently used in geophysical analysis as well as other scientific disciplines. This study focuses on the application of several different integration approaches for archaeo-geophysical data with a purpose of achieving complementary and improved information about the buried archaeological target by generating a single data set from multiple geophysical methods. An extensive geophysical survey using ground penetrating radar (GPR) and differential magnetic methods was made in different parts of the Aizanoi archaeological site (Cavdarhisar, Kutahya, Turkey) to locate and enhance subsurface archaeological structures. However, in this article, the outputs of graphical, mathematical and statistical integration approaches, which are applied both on synthetic images and real field case data, are presented and discussed. Comparing these results and experimental applications, mathematical and statistical integration approaches provide more useful and practicable information than just the single distinct datasets from each geophysical parameter studied. Copyright © 2017 John Wiley & Sons, Ltd. |
Databáze: | OpenAIRE |
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