Sequential and non-sequential hypertemporal classification and change detection of Modis time-series

Sequential and non-sequential hypertemporal classification and change detection of Modis time-series

Satellites provide humanity with data to infer properties of the earth that were impossible a century ago. Humanity can now easily monitor the amount of ice found on the polar caps, the size of forests and deserts, the earth’s atmosphere, the seasonal variation on land and in the oceans and the surf...

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Bibliographic Details
Main Author: Grobler, Trienko Lups
Other Authors: Olivier, Jan Corne
Published: University of Pretoria 2013
Subjects:
Hypertemporal classification
Inductive simulator
Sequential analysis
Hypertemporal change detection
Support vector machine
Cumulative sum
Noise-harmonic features
Coloured simple harmonic oscillator
Moderate resolution imaging spectroradiometer
Ornstein-uhlenbeck process
UCTD
Online Access:http://hdl.handle.net/2263/25427
Grobler, TL 2012, Sequential and non-sequential hypertemporal classification and change detection of Modis time-series, PhD thesis, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/25427 >
http://upetd.up.ac.za/thesis/available/etd-06102013-125210/

Internet

http://hdl.handle.net/2263/25427
Grobler, TL 2012, Sequential and non-sequential hypertemporal classification and change detection of Modis time-series, PhD thesis, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/25427 >
http://upetd.up.ac.za/thesis/available/etd-06102013-125210/

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