DocumentCode :
1878618
Title :
A comparison of feature extraction methods within a spatio-temporal land cover change detection framework
Author :
Kleynhans, W. ; Salmon, B.P. ; Olivier, J.C. ; Wessels, K.J. ; van den Bergh, F.
Author_Institution :
Electr., Electron. & Comput. Eng., Univ. of Pretoria, Pretoria, South Africa
fYear :
2011
fDate :
24-29 July 2011
Firstpage :
688
Lastpage :
691
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 spatio temporal change detection framework. Both methods produce a mean and amplitude parameter sequence which is then used to determine a change metric which yield a change of no-change 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.
Keywords :
fast Fourier transforms; feature extraction; terrain mapping; EKF method; amplitude parameter sequence; change detection accuracy; change metric value; feature extraction methods; nochange decision; sliding window fast Fourier transform; spatiotemporal land cover change detection framework; Accuracy; Cities and towns; Computational efficiency; Measurement; Satellites; Time series analysis; Vegetation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
ISSN :
2153-6996
Print_ISBN :
978-1-4577-1003-2
Type :
conf
DOI :
10.1109/IGARSS.2011.6049223
Filename :
6049223
Link To Document :
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