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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 expertsí 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
Research Division:Engineering
Research Group:Geomatic Engineering
Research Field:Photogrammetry and Remote Sensing
Objective Division:Environment
Objective Group:Flora, Fauna and Biodiversity
Objective Field:Flora, Fauna and Biodiversity of environments not elsewhere classified
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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