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Cited by 1,647

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Geographic Object-Based Image Analysis – Towards a new paradigm

Open access
Blaschke, Thomas, Hay, Geoffrey J., Kelly, Maggi, Lang, Stefan, Hofmann, Peter, Addink, Elisabeth, Queiroz Feitosa, Raul, van der Meer, Freek, van der Werff, Harald, van Coillie, Frieke, Tiede, Dirk·2014·ISPRS Journal of Photogrammetry and Remote Sensing

Abstract

The amount of scientific literature on (Geographic) Object-based Image Analysis – GEOBIA has been and still is sharply increasing. These approaches to analysing imagery have antecedents in earlier research on image segmentation and use GIS-like spatial analysis within classification and feature extraction approaches. This article investigates these development and its implications and asks whether or not this is a new paradigm in remote sensing and Geographic Information Science (GIScience). We first discuss several limitations of prevailing per-pixel methods when applied to high resolution images. Then we explore the paradigm concept developed by Kuhn (1962) and discuss whether GEOBIA can be regarded as a paradigm according to this definition. We crystallize core concepts of GEOBIA, including the role of objects, of ontologies and the multiplicity of scales and we discuss how these conceptual developments support important methods in remote sensing such as change detection and accuracy assessment. The ramifications of the different theoretical foundations between the ‘per-pixel paradigm’ and GEOBIA are analysed, as are some of the challenges along this path from pixels, to objects, to geo-intelligence. Based on several paradigm indications as defined by Kuhn and based on an analysis of peer-reviewed scientific literature we conclude that GEOBIA is a new and evolving paradigm.

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Metadata

Authors
Blaschke, T., Hay, G. J., Kelly, M., Lang, S., Hofmann, P., Addink, E., Queiroz Feitosa, R., van der Meer, F., van der Werff, H., van Coillie, F., & Tiede, D.
Venue
ISPRS Journal of Photogrammetry and Remote Sensing
Publisher
Elsevier BV
Published
2014-01
Volume
87
Issue
100
Pages
180-191
ISSN
0924-2716 (ISSN-L)
OpenAlex
W2103079830
Cited by
1,647
References
1
FWCI
178.06
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Geographic Object-Based Image Analysis – Towards a new paradigm. https://app.cochat.ai/papers/10.1016/j.isprsjprs.2013.09.014
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Blaschke, T., Hay, G. J., Kelly, M., Lang, S., Hofmann, P., Addink, E., Queiroz Feitosa, R., van der Meer, F., van der Werff, H., van Coillie, F., & Tiede, D. (2014). Geographic Object-Based Image Analysis – Towards a new paradigm. ISPRS Journal of Photogrammetry and Remote Sensing. https://doi.org/10.1016/j.isprsjprs.2013.09.014

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