dc.contributor.author |
Grobler, Trienko Lups
|
|
dc.contributor.author |
Ackermann, Etienne Rudolph
|
|
dc.contributor.author |
Van Zyl, A.J.
|
|
dc.contributor.author |
Olivier, Jan Corne
|
|
dc.contributor.author |
Kleynhans, Waldo
|
|
dc.contributor.author |
Salmon, Brian Paxton
|
|
dc.date.accessioned |
2013-04-26T11:53:44Z |
|
dc.date.available |
2013-04-26T11:53:44Z |
|
dc.date.issued |
2013-05 |
|
dc.description.abstract |
In this paper, a first order MODIS time series
simulator, which uses a Colored Simple Harmonic Oscillator, is
proposed. The simulated data can be used to augment data sets so
that data intensive classification and change detection algorithms
can be applied without enlarging the available ground truth data
sets. The simulator’s validity is tested by simulating data sets of
natural vegetation and human settlement areas and comparing it
to the ground truth data in the Gauteng province located in South
Africa. The difference found between the real and simulated
data sets, which is reported in the experiments is negligent. The
simulated and real world data sets are compared by using a wide
selection of class and pixel metrics. In particular the average
temporal Hellinger distance between the real and simulated data
sets is 0.2364 and 0.2269 for the vegetation and settlement class
respectively, while the average parameter Hellinger distance is
0.1835 and 0.2554 respectively. |
en |
dc.description.librarian |
hb2013 |
en |
dc.description.librarian |
ai2013 |
en |
dc.description.uri |
http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=8859 |
en |
dc.identifier.citation |
Grobler, TL, Ackermann, ER, Van Zyl, AJ, Olivier, JC, Kleynhans, W & Salmon, BP 2013, 'An inductive approach to simulating multispectral MODIS surface reflectance time series',IEEE Geoscience and Remote Sensing Letters, vol. 10, no. 3, art. no. 6286988, pp.446-450. |
en |
dc.identifier.issn |
1545-598X (print) |
|
dc.identifier.issn |
1558-0571 (online) |
|
dc.identifier.other |
10.1109/LGRS.2012.2208446 |
|
dc.identifier.uri |
http://hdl.handle.net/2263/21385 |
|
dc.language.iso |
en |
en |
dc.publisher |
Institute of Electrical and Electronics Engineers |
en |
dc.rights |
©2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
en |
dc.subject |
Moderate Resolution Imaging Spectroradiometer (MODIS) |
en |
dc.subject.lcsh |
MODIS (Spectroradiometer) |
en |
dc.subject.lcsh |
Remote sensing -- South Africa -- Computer simulation |
en |
dc.subject.lcsh |
Multispectral photography -- Computer simulation |
en |
dc.subject.lcsh |
Time-series analysis -- Computer programs |
en |
dc.subject.lcsh |
Plants -- Geographic information systems -- South Africa |
en |
dc.subject.lcsh |
Plants -- Dispersal -- South Africa -- Computer simulation |
en |
dc.subject.lcsh |
Vegetation mapping -- South Africa -- Computer simulation |
en |
dc.subject.lcsh |
Land settlement -- South Africa -- Computer simulation |
en |
dc.subject.lcsh |
Human settlements -- South Africa -- Computer simulation |
en |
dc.title |
An inductive approach to simulating multispectral MODIS surface reflectance time series |
en |
dc.type |
Postprint Article |
en |