Salmon, BPKleynhans, WaldoOlivier, JCOlding, WCWessels, Konrad JVan den Bergh, Frans2017-06-072017-06-072014-07Salmon, B.P., Kleynhans, W., Olivier, J.C. et al. 2014. Modified temporal approach to meta-optimizing an extended Kalman filter's parameters. 2014 IEEE International Geoscience and Remote Sensing Symposium, Québec, Canada, 13-18 July 2014. DOI: 10.1109/IGARSS.2014.69466322153-7003DOI: 10.1109/IGARSS.2014.6946632http://ieeexplore.ieee.org/document/6946632/http://hdl.handle.net/10204/9156Copyright: 2014 EE Publishers. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website.It has been shown that time series containing reflectance values from the first two spectral bands of the MODerateresolution Imaging Spectroradiometer (MODIS) land surface reflectance product can be modelled as a triply modulated cosine function. A meta-optimization approach has been proposed in the literature for setting the parameters of the non-linear Extended Kalman Filter (EKF) to rapidly and efficiently estimate the features for these triply modulated cosine functions using spatial information. In this paper we modify this approach to utilize temporal information instead of spatial information to greatly reduce the processing time and storage requirements to process each time series. The parameters derived from the newly proposed method is classified with a support vector machine and compared to the original approach. Performance of the methods is tested on the Limpopo province in South Africa.enMODerateresolution Imaging SpectroradiometerMODISKalman filteringRemote sensingSatellitesTime seriesConference PresentationSalmon, B., Kleynhans, W., Olivier, J., Olding, W., Wessels, K. J., & Van den Bergh, F. (2014). Modified temporal approach to meta-optimizing an extended Kalman filter's parameters. IEEE. http://hdl.handle.net/10204/9156Salmon, BP, Waldo Kleynhans, JC Olivier, WC Olding, Konrad J Wessels, and Frans Van den Bergh. "Modified temporal approach to meta-optimizing an extended Kalman filter's parameters." (2014): http://hdl.handle.net/10204/9156Salmon B, Kleynhans W, Olivier J, Olding W, Wessels KJ, Van den Bergh F, Modified temporal approach to meta-optimizing an extended Kalman filter's parameters; IEEE; 2014. http://hdl.handle.net/10204/9156 .TY - Conference Presentation AU - Salmon, BP AU - Kleynhans, Waldo AU - Olivier, JC AU - Olding, WC AU - Wessels, Konrad J AU - Van den Bergh, Frans AB - It has been shown that time series containing reflectance values from the first two spectral bands of the MODerateresolution Imaging Spectroradiometer (MODIS) land surface reflectance product can be modelled as a triply modulated cosine function. A meta-optimization approach has been proposed in the literature for setting the parameters of the non-linear Extended Kalman Filter (EKF) to rapidly and efficiently estimate the features for these triply modulated cosine functions using spatial information. In this paper we modify this approach to utilize temporal information instead of spatial information to greatly reduce the processing time and storage requirements to process each time series. The parameters derived from the newly proposed method is classified with a support vector machine and compared to the original approach. Performance of the methods is tested on the Limpopo province in South Africa. DA - 2014-07 DB - ResearchSpace DP - CSIR KW - MODerateresolution Imaging Spectroradiometer KW - MODIS KW - Kalman filtering KW - Remote sensing KW - Satellites KW - Time series LK - https://researchspace.csir.co.za PY - 2014 SM - 2153-7003 T1 - Modified temporal approach to meta-optimizing an extended Kalman filter's parameters TI - Modified temporal approach to meta-optimizing an extended Kalman filter's parameters UR - http://hdl.handle.net/10204/9156 ER -