dc.contributor.author |
Luus, FPS
|
|
dc.contributor.author |
Van den Bergh, F
|
|
dc.contributor.author |
Maharaj, BTJ
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|
dc.date.accessioned |
2014-04-10T13:26:54Z |
|
dc.date.available |
2014-04-10T13:26:54Z |
|
dc.date.issued |
2013-06 |
|
dc.identifier.citation |
Luus, F.P.S, Van den Bergh, F and Maharaj, B.T.J. 2013. The effects of segmentation-based shadow removal on across-date settlement type classification of panchromatic QuickBird images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 6(3), pp 1274-12 |
en_US |
dc.identifier.issn |
1939-1404 |
|
dc.identifier.uri |
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=06495494
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|
dc.identifier.uri |
http://hdl.handle.net/10204/7357
|
|
dc.description |
Copyright: 2013 IEEE Xplore. This is the post print. The definitive version is published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 6(3), pp 1274-12 |
en_US |
dc.description.abstract |
Settlement classifiers for multitemporal satellite image analysis have to overcome numerous difficulties related to across-date variances in viewing- and illumination geometry. Shadow anisotropy is a prominent contributing factor in classifier inaccuracy, so methods are introduced in this study to enable minimum-supervision classifier design that mitigate the effects of shadow profile differences. A segmentation-based shadow detector is proposed that utilizes a panchromatic segment merging algorithm with parameters that are robust against dynamic range variances seen in multitemporal imagery. The proposed shadow detector improves on the settlement classification accuracy achieved by fixed threshold detection paired with shadow removal in the presented case-study. The relationship between shadow detection accuracy and settlement classification accuracy is investigated, and it is shown that shadow removal produces greater settlement accuracy improvements for across-date experiments specifically. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IEEE Xplore |
en_US |
dc.relation.ispartofseries |
Workflow;11144 |
|
dc.subject |
Feature extraction |
en_US |
dc.subject |
Image segmentation |
en_US |
dc.subject |
Image texture analysis |
en_US |
dc.subject |
Remote sensing |
en_US |
dc.subject |
Urban areas |
en_US |
dc.subject |
Quickbird images |
en_US |
dc.title |
The effects of segmentation-based shadow removal on across-date settlement type classification of panchromatic QuickBird images |
en_US |
dc.type |
Article |
en_US |
dc.identifier.apacitation |
Luus, F., Van den Bergh, F., & Maharaj, B. (2013). The effects of segmentation-based shadow removal on across-date settlement type classification of panchromatic QuickBird images. http://hdl.handle.net/10204/7357 |
en_ZA |
dc.identifier.chicagocitation |
Luus, FPS, F Van den Bergh, and BTJ Maharaj "The effects of segmentation-based shadow removal on across-date settlement type classification of panchromatic QuickBird images." (2013) http://hdl.handle.net/10204/7357 |
en_ZA |
dc.identifier.vancouvercitation |
Luus F, Van den Bergh F, Maharaj B. The effects of segmentation-based shadow removal on across-date settlement type classification of panchromatic QuickBird images. 2013; http://hdl.handle.net/10204/7357. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Luus, FPS
AU - Van den Bergh, F
AU - Maharaj, BTJ
AB - Settlement classifiers for multitemporal satellite image analysis have to overcome numerous difficulties related to across-date variances in viewing- and illumination geometry. Shadow anisotropy is a prominent contributing factor in classifier inaccuracy, so methods are introduced in this study to enable minimum-supervision classifier design that mitigate the effects of shadow profile differences. A segmentation-based shadow detector is proposed that utilizes a panchromatic segment merging algorithm with parameters that are robust against dynamic range variances seen in multitemporal imagery. The proposed shadow detector improves on the settlement classification accuracy achieved by fixed threshold detection paired with shadow removal in the presented case-study. The relationship between shadow detection accuracy and settlement classification accuracy is investigated, and it is shown that shadow removal produces greater settlement accuracy improvements for across-date experiments specifically.
DA - 2013-06
DB - ResearchSpace
DP - CSIR
KW - Feature extraction
KW - Image segmentation
KW - Image texture analysis
KW - Remote sensing
KW - Urban areas
KW - Quickbird images
LK - https://researchspace.csir.co.za
PY - 2013
SM - 1939-1404
T1 - The effects of segmentation-based shadow removal on across-date settlement type classification of panchromatic QuickBird images
TI - The effects of segmentation-based shadow removal on across-date settlement type classification of panchromatic QuickBird images
UR - http://hdl.handle.net/10204/7357
ER -
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en_ZA |