eCite Digital Repository

A modified temporal approach to meta-optimizing an Extended Kalman Filter's parameters

Citation

Salmon, BP and Kleynhans, W and Olivier, JC and Olding, W and Wessels, KJ and van den Bergh, F, A modified temporal approach to meta-optimizing an Extended Kalman Filter's parameters, Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS), 13-18 July, Quebec, Canada, pp. 1144-1147. ISBN 978-147995775-0 (2014) [Refereed Conference Paper]

Copyright Statement

Copyright 2014 IEEE

DOI: doi:10.1109/IGARSS.2014.6946632

Abstract

It has been shown that time series containing reflectance values from the first two spectral bands of the MODerate-resolution 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.

Item Details

Item Type:Refereed Conference Paper
Keywords:Kalman filtering, remote sensing, satellites, time series
Research Division:Engineering
Research Group:Electrical and Electronic Engineering
Research Field:Signal Processing
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in Engineering
Author:Salmon, BP (Dr Brian Salmon)
Author:Olivier, JC (Professor JC Olivier)
ID Code:92396
Year Published:2014
Deposited By:Engineering
Deposited On:2014-06-17
Last Modified:2017-11-06
Downloads:0

Repository Staff Only: item control page