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.
History
Publication title
Proceedings of the IEEE Geoscience and Remote Sensing Symposium (IGARSS) 2011
Pagination
2543-2546
ISBN
978-1-4577-1003-2
Department/School
School of Engineering
Publisher
IEEE Explore
Place of publication
USA
Event title
IEEE International Geoscience and Remote Sensing Symposium