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Employing ontology to capture expert intelligence within GEOBIA: automation of the interpretation process


Rajbhandari, S and Aryal, J and Osborn, J and Lucieer, A and Musk, R, Employing ontology to capture expert intelligence within GEOBIA: automation of the interpretation process, Remote Sensing and Cognition: Human Factors in Image Interpretation, Taylor and Francis Group, RA White, A Coltekin, RR Hoffman (ed), United States, pp. 151-175. ISBN 9781498781565 (2018) [Research Book Chapter]

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Copyright 2018 Taylor & Francis Group, LLC

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The importance of remote sensing image analysis is ever increasing due to its ability to supply meaningful geographic information that informs local and global problems, such as measuring urban sprawl, mapping vegetation communities, monitoring the impacts of global climate change, and managing natural resources and urban planning. In this process of geo-object extraction, geographic object-based image analysis (GEOBIA) provides a method to identify real-world geographic objects from remotely sensed imagery. GEOBIA uses teclmiques analogous to those used by humans to perceive and distinguish geo-objects in imagery, usually acquired from satellite or airborne platforms. Experts use domain knowledge and measurement data extracted from remote sensing images for object-based analysis. This signifies a need for human involvement in the form of applying expert knowledge at the time of image object identification. The need for such human intervention acts as a barrier to the automation of GEOBIA processes. In this regard, knowledge representation techniques such as the use of ontologies provide possibilitie for modeling expert knowledge in a manner that contributes to the further development of GEOBIA. In this chapter, we will discuss the importance of the human factors in GEOBIA. To this end, we will draw on literature from both GEOBIA and ontology use.

Item Details

Item Type:Research Book Chapter
Keywords:GEOBIA, automation, remote sensing, interpretation
Research Division:Engineering
Research Group:Geomatic engineering
Research Field:Photogrammetry and remote sensing
Objective Division:Environmental Management
Objective Group:Other environmental management
Objective Field:Other environmental management not elsewhere classified
UTAS Author:Rajbhandari, S (Mr Sachit Rajbhandari)
UTAS Author:Aryal, J (Dr Jagannath Aryal)
UTAS Author:Osborn, J (Dr Jon Osborn)
UTAS Author:Lucieer, A (Professor Arko Lucieer)
ID Code:126083
Year Published:2018
Deposited By:Geography and Spatial Science
Deposited On:2018-05-22
Last Modified:2019-03-19

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