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Mean translation of GLCM texture features for across-date settlement type classification of quickbird images

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dc.contributor.author Luus, FPS
dc.contributor.author Van den Bergh, F
dc.contributor.author Maharaj, BTJ
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
dc.identifier.uri http://hdl.handle.net/10204/8184
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 - en_ZA


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