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

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dc.contributor.author Kleynhans, W
dc.contributor.author Salmon, BP
dc.contributor.author Wessels, Konrad J
dc.contributor.author Olivier, JC
dc.date.accessioned 2014-02-13T09:00:11Z
dc.date.available 2014-02-13T09:00:11Z
dc.date.issued 2013-07
dc.identifier.citation Kleynhans, W, Salmon, B.P, Wessels, K.J and Olivier, J.C. 2013. A spatio-temporal autocorrelation change detection approach using hyper-temporal satellite data. In: IEEE International Geoscience and Remote Sensing Symposium, Melbourne, Australia 21-26 July 2013 en_US
dc.identifier.uri http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=06723573
dc.identifier.uri http://hdl.handle.net/10204/7210
dc.description IEEE International Geoscience and Remote Sensing Symposium, Melbourne, Australia 21-26 July 2013. Abstract only attached. en_US
dc.description.abstract There has been recent developments in the use of hypertemporal 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. en_US
dc.language.iso en en_US
dc.publisher IEEE Xplore en_US
dc.relation.ispartofseries Workflow;12096
dc.subject Hyper-temporal satellite data en_US
dc.subject Spatial information en_US
dc.title A spatio-temporal autocorrelation change detection approach using hyper-temporal satellite data en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Kleynhans, W., Salmon, B., Wessels, K. J., & Olivier, J. (2013). A spatio-temporal autocorrelation change detection approach using hyper-temporal satellite data. IEEE Xplore. http://hdl.handle.net/10204/7210 en_ZA
dc.identifier.chicagocitation Kleynhans, W, BP Salmon, Konrad J Wessels, and JC Olivier. "A spatio-temporal autocorrelation change detection approach using hyper-temporal satellite data." (2013): http://hdl.handle.net/10204/7210 en_ZA
dc.identifier.vancouvercitation Kleynhans W, Salmon B, Wessels KJ, Olivier J, A spatio-temporal autocorrelation change detection approach using hyper-temporal satellite data; IEEE Xplore; 2013. http://hdl.handle.net/10204/7210 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Kleynhans, W AU - Salmon, BP AU - Wessels, Konrad J AU - Olivier, JC AB - There has been recent developments in the use of hypertemporal 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. DA - 2013-07 DB - ResearchSpace DP - CSIR KW - Hyper-temporal satellite data KW - Spatial information LK - https://researchspace.csir.co.za PY - 2013 T1 - A spatio-temporal autocorrelation change detection approach using hyper-temporal satellite data TI - A spatio-temporal autocorrelation change detection approach using hyper-temporal satellite data UR - http://hdl.handle.net/10204/7210 ER - en_ZA


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