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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, KJ
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

Event Venue

Vancouver, Canada

Date of Event (Start Date)

2011-07-24

Date of Event (End Date)

2011-07-29

Repository Status

  • Restricted

Socio-economic Objectives

Expanding knowledge in engineering

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