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Using the butterfly effect in a deterministic non-linear system to detect land cover change

Citation

Salmon, BP and Olivier, JC and Kleynhans, W and Wessels, KJ, Using the butterfly effect in a deterministic non-linear system to detect land cover change, Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS), 13-18 July 2014, Quebec, Canada, pp. 4224-4227. ISBN 978-1-4799-5775-0 (2014) [Refereed Conference Paper]


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Copyright Statement

Copyright 2014 the authors

Official URL: http://www.igarss2014.org/default.asp

DOI: doi:10.1109/IGARSS.2014.6947420

Abstract

We propose to modulate a deterministic non-linear system with state variables that were derived from an Extended Kalman Filter in order to detect change in a MODIS time series. The deterministic non-linear system used in this work is a gravity pendulum, where the displacement angle is observed over time. The analysis shows a change detection accuracy better than 99% obtained with this deterministic non-linear system when detecting new human settlements, with a corresponding false alarm rate lower than 3%.

Item Details

Item Type:Refereed Conference Paper
Keywords:Kalman filtering, nonlinear detection,remote sensing, satellites, time series
Research Division:Engineering
Research Group:Electrical and Electronic Engineering
Research Field:Signal Processing
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in Engineering
Author:Salmon, BP (Dr Brian Salmon)
Author:Olivier, JC (Professor JC Olivier)
ID Code:92407
Year Published:2014
Deposited By:Engineering
Deposited On:2014-06-17
Last Modified:2018-04-05
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