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Magnetometry Survey×Structure from Motion×
BidangArkeologiArkeologi
KeluargaProcess / pipelineProcess / pipeline
Tahun asal19582012
PencetusMartin Aitken & John Belshé (first archaeological magnetometer survey, 1958)Computer-vision SfM adapted for archaeological recording (popularized with low-cost photogrammetry, c. 2010s)
TipeGeophysical prospection pipeline mapping subsurface magnetic anomaliesImage-based 3D reconstruction pipeline for site and artifact recording
Sumber perintisAspinall, A., Gaffney, C., & Schmidt, A. (2008). Magnetometry for Archaeologists. AltaMira Press. ISBN: 9780759111066Renfrew, C., & Bahn, P. (2016). Archaeology: Theories, Methods, and Practice (7th ed.). Thames & Hudson. ISBN: 9780500292105
AliasArchaeological Magnetometry, Magnetic Gradiometer Survey, Fluxgate Gradiometry, Magnetic ProspectionSfM Photogrammetry, Structure-from-Motion Modeling, Image-Based 3D Recording, Multi-View Photogrammetry
Terkait22
RingkasanMagnetometry survey is a non-invasive geophysical technique that maps buried archaeological features by detecting the tiny variations they produce in the Earth's magnetic field. Many human activities alter the magnetic properties of the ground: burning enhances the magnetism of soil in hearths and kilns, while pits and ditches filled with topsoil are more magnetic than the surrounding subsoil, and stone walls may be less magnetic. A magnetometer carried across a gridded survey area records these faint anomalies, which are processed into a plan-view image revealing the shape and arrangement of subsurface features without digging. First applied archaeologically by Martin Aitken and John Belshé in 1958 and developed into modern fluxgate and caesium gradiometry, magnetometry is among the fastest and most informative prospection methods, as detailed in Aspinall, Gaffney, and Schmidt's standard reference and in general texts such as Renfrew and Bahn.Structure from Motion (SfM) is a photogrammetric technique that reconstructs three-dimensional models of archaeological subjects from sets of ordinary overlapping photographs. Borrowed from computer vision, it works by automatically finding the same physical points in many images, solving simultaneously for where each photograph was taken and where those points lie in space, and then building a dense point cloud, a meshed surface, and a photo-textured model. Because it needs only a camera and overlapping coverage, SfM has made high-resolution 3D recording of excavation surfaces, standing structures, artifacts, and whole landscapes (often from drones) fast and affordable. Scaled and georeferenced with control points, the resulting models integrate with GIS for measurement, analysis, and archiving, making SfM a core tool of digital field recording as reflected in Renfrew and Bahn and in the GIS workflows described by Conolly and Lake.
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ScholarGateBandingkan metode: Magnetometry Survey · Structure from Motion. Diakses 2026-06-24 dari https://scholargate.app/id/compare