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Association of Spatial Object Recognition and GEOBIA: an Experimental Approach
Citation
Aryal, J and Josselin, D, Association of Spatial Object Recognition and GEOBIA: an Experimental Approach, Proceedings of the AGILE'2012 International Conference on Geographic Information Science, 24-27 April, Avignon, France, pp. 19-24. ISBN 978-90-816960-0-5 (2012) [Refereed Conference Paper]
Copyright Statement
Copyright 2012 Springer-Verlag
Official URL: http://www.springer.com/earth+sciences+and+geograp...
Abstract
Spatial object recognition is an important facet of spatial information system. Psychological and mathematical basis are two important
factors in forming spatial object. In recent years, Geographic Object Based Image Analysis (GEOBIA) is extensively used in extracting the
information from remotely sensed images. The extracted information is being used by incorporating the experts’ knowledge. With these
developments, in this paper, we conducted an experiment for the human subjects in an image of an area of natural importance. The image
along with eight different sets of segmented images of the same area were provided to the human subjects, such that they can improve their
understanding using their perception, cognition and decision for the Geographic object recognition. The results of two stages were collated
and a relation to mathematical and psychological basis is made. The results showed that there exists different ways to comprehend the
geographical objects according to background experience of human subjects, despite the use of similar automatic spatial partitions at
different scales. But, also that there exists a certain association of pertinent scale to the human perception in recognising the spatial objects.
Item Details
Item Type: | Refereed Conference Paper |
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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: | Aryal, J (Dr Jagannath Aryal) |
ID Code: | 80463 |
Year Published: | 2012 |
Deposited By: | Geography and Environmental Studies |
Deposited On: | 2012-11-01 |
Last Modified: | 2017-10-30 |
Downloads: | 0 |
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