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

Author

Salmon, B.P. ; Olivier, J.C. ; Kleynhans, W. ; Wessels, K.J.

Author_Institution

Remote Sensing Res. Unit, Meraka Inst., Pretoria, South Africa

fYear

2014

fDate

13-18 July 2014

Firstpage

4224

Lastpage

4227

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%.

Keywords

Kalman filters; land cover; radiometry; time series; MODIS time series change detection; butterfly effect; change detection accuracy; deterministic nonlinear system modulation; displacement angle; extended Kalman filter; gravity pendulum; human settlement; land cover change detection; lower false alarm rate; state variable; Accuracy; Indexes; Kalman filters; MODIS; Remote sensing; Time series analysis; Vectors; Kalman filtering; Nonlinear detection; Remote sensing; Satellites; Time series;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International

Conference_Location

Quebec City, QC

Type

conf

DOI

10.1109/IGARSS.2014.6947420

Filename

6947420