Improved hyper-temporal feature extraction methods for land cover change detection in satellite time series

Improved hyper-temporal feature extraction methods for land cover change detection in satellite time series

The growth in global population inevitably increases the consumption of natural resources. The need to provide basic services to these growing communities leads to an increase in anthropogenic changes to the natural environment. The resulting transformation of vegetation cover (e.g. deforestation, a...

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Bibliographic Details
Main Author: Salmon, Brian Paxton
Other Authors: Olivier, Jan Corne
Published: University of Pretoria 2013
Subjects:
Time series
Satellite
Fourier transform
Classification
Clustering
Change detection
Extended kalman filter
UCTD
Online Access:http://hdl.handle.net/2263/28199
Salmon, BP 2012, Improved hyper-temporal feature extraction methods for land cover change detection in satellite time series, PhD thesis, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/28199 >
http://upetd.up.ac.za/thesis/available/etd-09252012-174827/

Internet

http://hdl.handle.net/2263/28199
Salmon, BP 2012, Improved hyper-temporal feature extraction methods for land cover change detection in satellite time series, PhD thesis, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/28199 >
http://upetd.up.ac.za/thesis/available/etd-09252012-174827/

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