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