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Environmental object recognition in a natural image: an experimental approach using geographic object based image analysis (GEOBIA)

Citation

Aryal, J and Josselin, D, Environmental object recognition in a natural image: an experimental approach using geographic object based image analysis (GEOBIA), International Journal of Agricultural and Environmental Information Systems, 5, (1) pp. 1-18. ISSN 1947-3192 (2014) [Refereed Article]

Copyright Statement

Copyright 2014 IGI Global

DOI: doi:10.4018/ijaeis.2014010101

Abstract

Natural images, which are filled with intriguing stimuli of spatial objects, represent our cognition and are rich in spatial information. Accurate extraction of spatial objects is challenging due to the associated spatial and spectral complexities in the object recognition. In this paper, we tackle the problem of spatial object extraction in a GEOgraphic Object Based Image Analysis framework taking psychological and mathematical complexities into account. In doing so, we experimented with human and GEOBIA based recognition and segmentation in an image of an area of natural importance, the Ventoux Mountain, France. Focus was given to scales, colour, and texture properties at multiple levels in delineating the candidate spatial objects from the natural image. Such objects along with the original image were provided to the human subjects in two stages and three different groups of samples. The result of two stages were collated and analysed. The analysis showed that there exist different ways to comprehend the geographical objects according to prior knowledge.

Item Details

Item Type:Refereed Article
Keywords:GEOBIA, scales, environmental object, human subjects, perception, recognition
Research Division:Engineering
Research Group:Geomatic Engineering
Research Field:Surveying (incl. Hydrographic Surveying)
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in the Earth Sciences
Author:Aryal, J (Dr Jagannath Aryal)
ID Code:88825
Year Published:2014
Deposited By:Geography and Environmental Studies
Deposited On:2014-02-18
Last Modified:2015-04-24
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