eCite Digital Repository
A comparison of feature extraction methods within a spatio-temporal land cover change detection framework
Citation
Kleynhans, W and Salmon, BP and Olivier, JC and Wessels, KJ and van den Bergh, F, A comparison of feature extraction methods within a spatio-temporal land cover change detection framework, Proceedings of the IEEE Geoscience and Remote Sensing Symposium (IGARSS) 2011, 24-29 July 2011, Vancouver, Canada, pp. 688-691. ISBN 978-1-4577-1003-2 (2011) [Refereed Conference Paper]
DOI: doi:10.1109/IGARSS.2011.6049223
Abstract
In this paper, a change detection accuracy comparison is made
between a recently proposed EKF method and a sliding window
Fast Fourier Transform (FFT) alternative within a spatiotemporal
change detection framework. Bothmethods produce
a mean and amplitude parameter sequence which is then used
to determine a change metric which yield a change of nochange
decision after thresholding. The objective is to determine
which of these methods produces a change metric
value that is able to best discriminate between change and
no-change.
Item Details
| Item Type: | Refereed Conference Paper |
|---|---|
| Keywords: | time series, fast Fourier transforms, land cover change |
| 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 |
| UTAS Author: | Salmon, BP (Dr Brian Salmon) |
| UTAS Author: | Olivier, JC (Professor JC Olivier) |
| ID Code: | 78841 |
| Year Published: | 2011 |
| Deposited By: | Engineering |
| Deposited On: | 2012-07-30 |
| Last Modified: | 2017-11-06 |
| Downloads: | 0 |
Repository Staff Only: item control page