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Detecting settlement expansion using hyper-temporal SAR time-series


Kleynhans, W and Salmon, BP, Detecting settlement expansion using hyper-temporal SAR time-series, International Geoscience and Remote Sensing Symposium (IGARSS), 13-18 July 2014, Quebec, Canada, pp. 1152-1155. ISBN 978-147995775-0 (2014) [Refereed Conference Paper]

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Copyright 2014 the authors

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DOI: doi:10.1109/IGARSS.2014.6946634


The detection of new informal settlements in South Africa using time-series data derived from coarse resolution satellite imagery has recently been an active area of research. Most of the previous methods presented using hyper-temporal satellite data in this particular study area relied on optical data as input. In this paper, the feasibility of using hyper-temporal SAR data for the detection of new informal settlements was investigated. Using numerous ENVISAT ASAR images during the period 2005/01 to 2011/01 , it was shown that new settlements could effectively be detected using an autocorrelation change detection approach which was previously only limited to optical data and subsequently adapted to use hyper-temporal SAR data as input. Preliminary results indicate change detection accuracies in the order of 85% at a false alarm rate of less than 1%.

Item Details

Item Type:Refereed Conference Paper
Keywords:autocorrelation, change detection, satellite, time series
Research Division:Engineering
Research Group:Communications engineering
Research Field:Signal processing
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in engineering
UTAS Author:Salmon, BP (Dr Brian Salmon)
ID Code:92401
Year Published:2014
Web of Science® Times Cited:1
Deposited By:Engineering
Deposited On:2014-06-17
Last Modified:2018-04-05

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