dc.contributor.author |
Luus, FPS
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|
dc.contributor.author |
Van den Bergh, F
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|
dc.contributor.author |
Maharaj, BTJ
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|
dc.date.accessioned |
2014-04-10T13:29:51Z |
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dc.date.available |
2014-04-10T13:29:51Z |
|
dc.date.issued |
2014-06 |
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dc.identifier.citation |
Luus, F.P.S, Van den Bergh, F and Maharaj, B.T.J. 2014. Adaptive threshold-based shadow masking for across-date settlement classification of panchromatic quickBird images. IEEE Geoscience and Remote Sensing Letters, vol. 2(6), pp 1153-1157 |
en_US |
dc.identifier.issn |
1545-598X |
|
dc.identifier.uri |
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6670045
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|
dc.identifier.uri |
http://hdl.handle.net/10204/7361
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|
dc.description |
Copyright: 2014 IEEE Xplore. This is an ABSTRACT ONLY. The definitive version is published in IEEE Geoscience and Remote Sensing Letters, vol. 2(6), pp 1153-1157 |
en_US |
dc.description.abstract |
Multitemporal land-use analysis is becoming increasingly important for the effective management of Earth resources. Despite that, consistent differences in the viewing and illumination geometry in satellite-borne imagery introduce some issues in the creation of land-use classification maps. The focus of this letter is settlement classification with high-resolution panchromatic acquisitions, using texture features to distinguish between settlement classes. The important multitemporal variance component of shadow is effectively removed before feature determination, which allows for minimum-supervision across-date classification. Shadow detection based on local adaptive thresholding is employed and experimentally shown to outperform existing fixed threshold shadow detectors in increasing settlement classification accuracy. Both same- and across-date settlement accuracies are significantly improved with shadow masking during feature calculation. A statistical study was performed and found to support the hypothesis that the increased accuracy is due to shadow masking specifically. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IEEE Xplore |
en_US |
dc.relation.ispartofseries |
Workflow;12295 |
|
dc.subject |
Feature extraction |
en_US |
dc.subject |
Image texture analysis |
en_US |
dc.subject |
Remote sensing |
en_US |
dc.subject |
Urban areas |
en_US |
dc.title |
Adaptive threshold-based shadow masking for across-date settlement classification of panchromatic quickBird images |
en_US |
dc.type |
Article |
en_US |
dc.identifier.apacitation |
Luus, F., Van den Bergh, F., & Maharaj, B. (2014). Adaptive threshold-based shadow masking for across-date settlement classification of panchromatic quickBird images. http://hdl.handle.net/10204/7361 |
en_ZA |
dc.identifier.chicagocitation |
Luus, FPS, F Van den Bergh, and BTJ Maharaj "Adaptive threshold-based shadow masking for across-date settlement classification of panchromatic quickBird images." (2014) http://hdl.handle.net/10204/7361 |
en_ZA |
dc.identifier.vancouvercitation |
Luus F, Van den Bergh F, Maharaj B. Adaptive threshold-based shadow masking for across-date settlement classification of panchromatic quickBird images. 2014; http://hdl.handle.net/10204/7361. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Luus, FPS
AU - Van den Bergh, F
AU - Maharaj, BTJ
AB - Multitemporal land-use analysis is becoming increasingly important for the effective management of Earth resources. Despite that, consistent differences in the viewing and illumination geometry in satellite-borne imagery introduce some issues in the creation of land-use classification maps. The focus of this letter is settlement classification with high-resolution panchromatic acquisitions, using texture features to distinguish between settlement classes. The important multitemporal variance component of shadow is effectively removed before feature determination, which allows for minimum-supervision across-date classification. Shadow detection based on local adaptive thresholding is employed and experimentally shown to outperform existing fixed threshold shadow detectors in increasing settlement classification accuracy. Both same- and across-date settlement accuracies are significantly improved with shadow masking during feature calculation. A statistical study was performed and found to support the hypothesis that the increased accuracy is due to shadow masking specifically.
DA - 2014-06
DB - ResearchSpace
DP - CSIR
KW - Feature extraction
KW - Image texture analysis
KW - Remote sensing
KW - Urban areas
LK - https://researchspace.csir.co.za
PY - 2014
SM - 1545-598X
T1 - Adaptive threshold-based shadow masking for across-date settlement classification of panchromatic quickBird images
TI - Adaptive threshold-based shadow masking for across-date settlement classification of panchromatic quickBird images
UR - http://hdl.handle.net/10204/7361
ER -
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en_ZA |