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Meta-optimization of the extended kalman filter's parameters for improved feature extraction on hyper-temporal images
conference contribution
posted on 2023-05-23, 06:49 authored by Brian SalmonBrian Salmon, Kleynhans, W, van den Bergh, F, Jan OlivierJan Olivier, Marais, WJ, Wessels, KJTime 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) 2011Pagination
2543-2546ISBN
978-1-4577-1003-2Department/School
School of EngineeringPublisher
IEEE ExplorePlace of publication
USAEvent title
IEEE International Geoscience and Remote Sensing SymposiumEvent Venue
Vancouver, CanadaDate of Event (Start Date)
2011-07-24Date of Event (End Date)
2011-07-29Repository Status
- Restricted