期刊
JOURNAL OF ARCHAEOLOGICAL SCIENCE
卷 107, 期 -, 页码 10-22出版社
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jas.2019.04.005
关键词
OBIA; Archaeology; Landscape evolution; Knowledge integration; Image interpretation; Diachronic semantic models; Archaeo-objects
资金
- project Horus 2.0 (Department of Cultural Heritage, University of Padova)
Object-based image analysis (OBIA) is rapidly emerging as a valuable method for integrating the data processing techniques and GIS approaches classically employed in archaeology. OBIA is intended to replicate human perception by using a protocol of (semi)automated image segmentation and classification. However, the lack of a theoretical background adapted to the specificities of the archaeological discipline is still preventing researchers from finding a shared language and a common protocol of investigation necessary to allow the comparability of the results. This article discusses a series of crucial theoretical issues linked to the incompleteness and the equi-/multifinality of the archaeological record and introduces the core concept of Diachronic Semantic Models (DhSM) as a means to integrate the long-term evolution of the archaeological landscape in the conceptual, digital and real world frameworks of the object-based approach. We also present an assessment of the limits and potential of this method, built from a set of case studies from published and unpublished research. Finally, we propose a general workflow of an Archaeological Object-Based Image Analysis (ArchaeOBIA) project, designed for stimulating the development of an operational routine for object-based applications in archaeology.
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