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Land cover change detection using the internal covariance matrix of the Extended Kalman Filter Over Multiple Spectral Bands
Citation
Salmon, BP and Kleynhans, W and van den Bergh, F and Olivier, JC and Grobler, TL and Wessels, KJ, Land cover change detection using the internal covariance matrix of the Extended Kalman Filter Over Multiple Spectral Bands, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6, (3) pp. 1079-1085. ISSN 1939-1404 (2013) [Refereed Article]
Copyright Statement
Copyright 2013 IEEE
DOI: doi:10.1109/JSTARS.2013.2241023
Abstract
In this paper, the internal operations of an Extended
Kalman Filter is investigated to observe if information can be
derived to detect land cover change in a MODerate-resolution
Imaging Spectroradiometer (MODIS) time series. The concept
is based on the internal covariance matrix used by the Extended
Kalman Filter, which adjusts the internal state of the filter for any
changes occurring in the time series. The Extended Kalman Filter
expands the internal covariance matrix if a significant change
in reflectance value is observed, followed by adapting the state
parameters to compensate for this change. The analysis shows
that a change detection accuracy above 90% can be attained when
evaluating the elements within the internal covariance matrix to
detect new human settlements, with a corresponding false alarm
rate below 6%.
Item Details
Item Type: | Refereed Article |
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Keywords: | change detection algorithms, covariance matrix, Kalman filter, spatial information, time series analysis |
Research Division: | Engineering |
Research Group: | Geomatic engineering |
Research Field: | Photogrammetry and remote sensing |
Objective Division: | Expanding Knowledge |
Objective Group: | Expanding knowledge |
Objective Field: | Expanding knowledge in engineering |
UTAS Author: | Salmon, BP (Dr Brian Salmon) |
UTAS Author: | Olivier, JC (Professor JC Olivier) |
ID Code: | 84600 |
Year Published: | 2013 |
Web of Science® Times Cited: | 15 |
Deposited By: | Engineering |
Deposited On: | 2013-05-21 |
Last Modified: | 2016-11-02 |
Downloads: | 0 |
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