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Lookup NU author(s): Dr Christopher SevaraORCiD
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Object-Oriented image analysis techniques can be of great value as an aid to the detection of archaeological features in high resolution remote sensing and geophysical prospection datasets. Although OBIA-based applications have been used for these purposes in the past, few implementations have been from a truly object-oriented prospective. This paper attempts to redress this issue by describing selected archaeological features in object-oriented terms and subsequently providing a template for an attribute-based approach to the detection of archaeological objects. To illustrate this concept, we provide an example of such an analysis using high resolution laser scanning data from an archaeological case study in Lower Austria.
Author(s): Sevara C, Pregesbauer M
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: GEOBIA 2014, Αdvancements, trends and challenges, 5th Geographic Object-Based Image Analysis Conference
Year of Conference: 2014
Pages: 139-143
Online publication date: 01/05/2014
Acceptance date: 02/12/2013
ISSN: 2241-1224
Publisher: Aristotle University
URL: https://ejournals.lib.auth.gr/seejeog/article/view/4236
Series Title: South‐Eastern European Journal of Earth Observation and Geomatics
