Salmon, BPKleynhans, WVan den Bergh, FOlivier, JCMarais, WJWessels, Konrad J2012-05-072012-05-072011-07Salmon, BP, Kleynhans, W, Van den Bergh, F, Olivier, JC, Marais, WJ and Wessels, KJ. 2011. Meta-optimization of the extended kalman filter's parameters for improved feature extraction on hyper-temporal images. 2011 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Vancouver, Canada, 24-29 July 2011978-1-4577-1003-2http://ieeexplore.ieee.org/application/enterprise/entconfirmation.jsp?arnumber=6049730http://hdl.handle.net/10204/58392011 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Vancouver, Canada, 24-29 July 2011Time series derived from the first two spectral bands of the MODerate-resolution Imaging Spectroradiometer (MODIS) land surface reflectance product can be modelled as a pair of triply (mean, phase and amplitude) modulated cosine functions. This paper proposes a meta-optimization approach for setting the parameters of the non-linear Extended Kalman Filter to rapidly and efficiently estimate the features for the pair of triply modulated cosine functions. The approach is based on a unsupervised search algorithm over an appropriately defined manifold using spatial and temporal information. Performance of the new method is compared to other applicable methods and is tested on the Gauteng province which is South Africa’s province with the fastest growing economy.enHellinger distanceKalman filterTime series analysisUnsupervised learningSpatial informationConference PresentationSalmon, B., Kleynhans, W., Van den Bergh, F., Olivier, J., Marais, W., & Wessels, K. J. (2011). Meta-optimization of the extended kalman filter's parameters for improved feature extraction on hyper-temporal images. IEEE. http://hdl.handle.net/10204/5839Salmon, BP, W Kleynhans, F Van den Bergh, JC Olivier, WJ Marais, and Konrad J Wessels. "Meta-optimization of the extended kalman filter's parameters for improved feature extraction on hyper-temporal images." (2011): http://hdl.handle.net/10204/5839Salmon B, Kleynhans W, Van den Bergh F, Olivier J, Marais W, Wessels KJ, Meta-optimization of the extended kalman filter's parameters for improved feature extraction on hyper-temporal images; IEEE; 2011. http://hdl.handle.net/10204/5839 .TY - Conference Presentation AU - Salmon, BP AU - Kleynhans, W AU - Van den Bergh, F AU - Olivier, JC AU - Marais, WJ AU - Wessels, Konrad J AB - Time series derived from the first two spectral bands of the MODerate-resolution Imaging Spectroradiometer (MODIS) land surface reflectance product can be modelled as a pair of triply (mean, phase and amplitude) modulated cosine functions. This paper proposes a meta-optimization approach for setting the parameters of the non-linear Extended Kalman Filter to rapidly and efficiently estimate the features for the pair of triply modulated cosine functions. The approach is based on a unsupervised search algorithm over an appropriately defined manifold using spatial and temporal information. Performance of the new method is compared to other applicable methods and is tested on the Gauteng province which is South Africa’s province with the fastest growing economy. DA - 2011-07 DB - ResearchSpace DP - CSIR KW - Hellinger distance KW - Kalman filter KW - Time series analysis KW - Unsupervised learning KW - Spatial information LK - https://researchspace.csir.co.za PY - 2011 SM - 978-1-4577-1003-2 T1 - Meta-optimization of the extended kalman filter's parameters for improved feature extraction on hyper-temporal images TI - Meta-optimization of the extended kalman filter's parameters for improved feature extraction on hyper-temporal images UR - http://hdl.handle.net/10204/5839 ER -