Object-based image analysis: a review of developments and future directions of automated feature detection in landscape archaeology

Object based image analysis (OBIA) is a method of assessing remote sensing data that uses morphometric and spectral parameters simultaneously to identify features in remote sensing imagery. Over the past 10-15 years, OBIA methods have been introduced to detect archaeological features. Improvements in accuracy have been attained by using a greater number of morphometric variables and multiple scales of analysis. This article highlights the developments that have occurred in the application of OBIA within archaeology and argues that OBIA is both a useful and necessary tool for archaeological research. Additionally, I discuss future research paths using this method. Some of the suggestions put forth here include: pushing for multifaceted research designs utilizing OBIA and manual interpretation, using OBIA methods for directly studying landscape settlement patterns, and increasing data sharing of methods between researchers.

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Work Title Object-based image analysis: a review of developments and future directions of automated feature detection in landscape archaeology
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Open Access
Creators Dylan Davis
Version number 1
Keyword object-based image analysis; automated feature extraction; remote sensing; landscape analysis; pattern recognition; machine learning
License Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Work Type Article
Publisher Wiley
Publication Date 2019
Publisher Identifier (DOI) 10.1002/arp.1730
Deposited January 25, 2021 13:40

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    • https://creativecommons.org/licenses/by-nc/4.0/
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