dc.contributor.author |
Luus, FPS
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|
dc.contributor.author |
Van den Bergh, F
|
|
dc.contributor.author |
Maharaj, BTJ
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|
dc.date.accessioned |
2015-10-15T08:02:29Z |
|
dc.date.available |
2015-10-15T08:02:29Z |
|
dc.date.issued |
2013-07 |
|
dc.identifier.citation |
Luus, FPS, Van den Bergh, F and Maharaj, BTJ. 2013. Mean translation of GLCM texture features for across-date settlement type classification of quickbird images. In: International Geoscience and Remote Sensing Symposium IGARSS 2013, Melbourne, Australia, 21-26 July 2013 |
en_US |
dc.identifier.uri |
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6723078&tag=1
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|
dc.identifier.uri |
http://hdl.handle.net/10204/8184
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|
dc.description |
International Geoscience and Remote Sensing Symposium IGARSS 2013, Melbourne, Australia, 21-26 July 2013. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website |
en_US |
dc.description.abstract |
Classifier-generic domain adaptation based on feature space matching is applied in this study, with the aim of correcting dataset shifts consisting of both covariate and concept shifts. The feature space transformation between training and test samples is estimated as a set of partition translations, where each transformed partition mean coincides with the mean of a paired target partition. Various feasible instantiations of the generalized transformation estimate are used to characterize the spatial and temporal feature variance present in a settlement classification problem using panchromatic across-area and across-date high resolutionQuickBird imagery. A numerical analysis indicates that a significant settlement classification accuracy improvement is possible with the application of feature space matching, where texture features are used to describe settlement characteristics. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IEEE |
en_US |
dc.relation.ispartofseries |
Workflow;12842 |
|
dc.subject |
Image texture analysis |
en_US |
dc.subject |
Approximation algorithms |
en_US |
dc.subject |
Feature extraction |
en_US |
dc.subject |
Urban areas |
en_US |
dc.subject |
Remote sensing |
en_US |
dc.title |
Mean translation of GLCM texture features for across-date settlement type classification of quickbird images |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
Luus, F., Van den Bergh, F., & Maharaj, B. (2013). Mean translation of GLCM texture features for across-date settlement type classification of quickbird images. IEEE. http://hdl.handle.net/10204/8184 |
en_ZA |
dc.identifier.chicagocitation |
Luus, FPS, F Van den Bergh, and BTJ Maharaj. "Mean translation of GLCM texture features for across-date settlement type classification of quickbird images." (2013): http://hdl.handle.net/10204/8184 |
en_ZA |
dc.identifier.vancouvercitation |
Luus F, Van den Bergh F, Maharaj B, Mean translation of GLCM texture features for across-date settlement type classification of quickbird images; IEEE; 2013. http://hdl.handle.net/10204/8184 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Luus, FPS
AU - Van den Bergh, F
AU - Maharaj, BTJ
AB - Classifier-generic domain adaptation based on feature space matching is applied in this study, with the aim of correcting dataset shifts consisting of both covariate and concept shifts. The feature space transformation between training and test samples is estimated as a set of partition translations, where each transformed partition mean coincides with the mean of a paired target partition. Various feasible instantiations of the generalized transformation estimate are used to characterize the spatial and temporal feature variance present in a settlement classification problem using panchromatic across-area and across-date high resolutionQuickBird imagery. A numerical analysis indicates that a significant settlement classification accuracy improvement is possible with the application of feature space matching, where texture features are used to describe settlement characteristics.
DA - 2013-07
DB - ResearchSpace
DP - CSIR
KW - Image texture analysis
KW - Approximation algorithms
KW - Feature extraction
KW - Urban areas
KW - Remote sensing
LK - https://researchspace.csir.co.za
PY - 2013
T1 - Mean translation of GLCM texture features for across-date settlement type classification of quickbird images
TI - Mean translation of GLCM texture features for across-date settlement type classification of quickbird images
UR - http://hdl.handle.net/10204/8184
ER -
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en_ZA |