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A spatio-temporal autocorrelation change detection approach using hyper-temporal satellite data


Kleynhans, W and Salmon, BP and Wessels, KJ and Olivier, JC, A spatio-temporal autocorrelation change detection approach using hyper-temporal satellite data, Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 21-26 July 2013, Melbourne, Australia, pp. 3459-3462. ISBN 978-1-4799-1114-1 (2013) [Refereed Conference Paper]

Copyright Statement

Copyright 2013 IEEE

DOI: doi:10.1109/IGARSS.2013.6723573


There has been recent developments in the use of hyper-temporal satellite time series data for land cover change detection and classification in South Africa and in particular, the monitoring of human settlement expansion is of relevance as it is the most pervasive form of land-cover change in the country. In this paper, a spatio-temporal change detection method is proposed that is applicable over large regions. This is achieved by adjusting the change threshold based on the change properties of a neighbourhood of pixels. Results indicate that the addition of spatial information increase change detection accuracy when compared to a pixel based approach.

Item Details

Item Type:Refereed Conference Paper
Research Division:Engineering
Research Group:Communications engineering
Research Field:Satellite communications
Objective Division:Information and Communication Services
Objective Group:Communication technologies, systems and services
Objective Field:Satellite technologies, networks and services
UTAS Author:Salmon, BP (Dr Brian Salmon)
UTAS Author:Olivier, JC (Professor JC Olivier)
ID Code:89841
Year Published:2013
Deposited By:Engineering
Deposited On:2014-03-17
Last Modified:2017-11-06
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