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Land-cover separability analysis of MODIS time-series data using a combined simple harmonic oscillator and a mean reverting stochastic process

Citation

Grobler, TL and Ackerman, ER and Olivier, JC and van Zyl, AJ and Kleynhans, W, Land-cover separability analysis of MODIS time-series data using a combined simple harmonic oscillator and a mean reverting stochastic process, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5, (3) pp. 857-866. ISSN 1939-1404 (2012) [Refereed Article]

Copyright Statement

Copyright 2012 IEEE

DOI: doi:10.1109/JSTARS.2012.2183118

Abstract

It is proposed that the time series extracted from moderate resolution imaging spectroradiometer satellite data be modeled as a simple harmonic oscillator with additive colored noise. The colored noise is modeled with an Ornstein-Uhlenbeck process. The Fourier transform and maximum-likelihood parameter estimation are used to estimate the harmonic and noise parameters of the colored simple harmonic oscillator. Two case studies in South Africa show that reliable class differentiation can be obtained between natural vegetation and settlement land cover types, when using the parameters of the colored simple harmonic oscillator as input features to a classifier. The two case studies were conducted in the Gauteng and Limpopo provinces of South Africa. In the case of the Gauteng case study, we obtained an average κ = 0.86 for single-band classification, while standard harmonic features only achieved an average κ = 0.61. In conclusion, the results obtained from the colored simple harmonic oscillator approach outperformed standard harmonic features and the minimum distance classifier.

Item Details

Item Type:Refereed Article
Keywords:Moderate resolution imaging spectroradiometer (MODIS), Ornstein–Uhlenbeck, simple harmonic oscillator (SHO), temporal classification
Research Division:Engineering
Research Group:Electrical and Electronic Engineering
Research Field:Electrical and Electronic Engineering not elsewhere classified
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in Engineering
Author:Olivier, JC (Professor JC Olivier)
ID Code:79457
Year Published:2012
Web of Science® Times Cited:8
Deposited By:Engineering
Deposited On:2012-09-12
Last Modified:2017-11-06
Downloads:0

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