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

conference contribution
posted on 2023-05-23, 09:05 authored by Brian SalmonBrian Salmon, Jan OlivierJan Olivier, Kleynhans, W, Wessels, KJ
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%.

History

Publication title

Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS)

Pagination

4224-4227

ISBN

978-1-4799-5775-0

Department/School

School of Engineering

Publisher

IEEE

Place of publication

United States of America

Event title

International Geoscience and Remote Sensing Symposium 2014

Event Venue

Quebec, Canada

Date of Event (Start Date)

2014-07-13

Date of Event (End Date)

2014-07-18

Rights statement

Copyright 2014 the authors

Repository Status

  • Restricted

Socio-economic Objectives

Expanding knowledge in engineering

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    University Of Tasmania

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