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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, KJWe 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
4224-4227ISBN
978-1-4799-5775-0Department/School
School of EngineeringPublisher
IEEEPlace of publication
United States of AmericaEvent title
International Geoscience and Remote Sensing Symposium 2014Event Venue
Quebec, CanadaDate of Event (Start Date)
2014-07-13Date of Event (End Date)
2014-07-18Rights statement
Copyright 2014 the authorsRepository Status
- Restricted