dc.contributor.author |
Van den Bergh, F
|
|
dc.date.accessioned |
2011-11-18T14:37:43Z |
|
dc.date.available |
2011-11-18T14:37:43Z |
|
dc.date.issued |
2011-07 |
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dc.identifier.citation |
Van den Bergh, F. 2011. Effects of viewing- and illumination geometry on settlement type classification of quickbird images. 2011 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Vancouver, Canada, 24-29 July 2011 |
en_US |
dc.identifier.uri |
http://hdl.handle.net/10204/5320
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|
dc.description |
2011 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Vancouver, Canada, 24-29 July 2011 |
en_US |
dc.description.abstract |
Image texture features extracted from high-resolution remotely sensed images over urban areas have shown promise in their ability to distinguish different settlement classes. Without any explicit mechanism to counter the effects of variable illumination- and viewing geometries, these features may not generalize well in multi-date applications such as change detection. This paper presents the results of a small study of the effects of unwanted variability on low-income settlement classification performance in the Soweto residential area of the city of Johannesburg, South Africa. Somewhat surprisingly, the Gray-Level Co-occurrence Matrix (GLCM) features were found to perform better than Local Binary Pattern (LBP) features on combined spatial and temporal generalization tasks, although the LBP features offered better performance on spatial-only generalization problems. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IEEE |
en_US |
dc.relation.ispartofseries |
Workflow request;7237 |
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dc.subject |
Image classification |
en_US |
dc.subject |
Urban areas |
en_US |
dc.subject |
Image texture analysis |
en_US |
dc.subject |
Quickbird images |
en_US |
dc.subject |
Geometry |
en_US |
dc.subject |
Geoscience |
en_US |
dc.subject |
Remote sensing |
en_US |
dc.subject |
IGARSS 2011 |
en_US |
dc.title |
Effects of viewing- and illumination geometry on settlement type classification of quickbird images |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
Van den Bergh, F. (2011). Effects of viewing- and illumination geometry on settlement type classification of quickbird images. IEEE. http://hdl.handle.net/10204/5320 |
en_ZA |
dc.identifier.chicagocitation |
Van den Bergh, F. "Effects of viewing- and illumination geometry on settlement type classification of quickbird images." (2011): http://hdl.handle.net/10204/5320 |
en_ZA |
dc.identifier.vancouvercitation |
Van den Bergh F, Effects of viewing- and illumination geometry on settlement type classification of quickbird images; IEEE; 2011. http://hdl.handle.net/10204/5320 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Van den Bergh, F
AB - Image texture features extracted from high-resolution remotely sensed images over urban areas have shown promise in their ability to distinguish different settlement classes. Without any explicit mechanism to counter the effects of variable illumination- and viewing geometries, these features may not generalize well in multi-date applications such as change detection. This paper presents the results of a small study of the effects of unwanted variability on low-income settlement classification performance in the Soweto residential area of the city of Johannesburg, South Africa. Somewhat surprisingly, the Gray-Level Co-occurrence Matrix (GLCM) features were found to perform better than Local Binary Pattern (LBP) features on combined spatial and temporal generalization tasks, although the LBP features offered better performance on spatial-only generalization problems.
DA - 2011-07
DB - ResearchSpace
DP - CSIR
KW - Image classification
KW - Urban areas
KW - Image texture analysis
KW - Quickbird images
KW - Geometry
KW - Geoscience
KW - Remote sensing
KW - IGARSS 2011
LK - https://researchspace.csir.co.za
PY - 2011
T1 - Effects of viewing- and illumination geometry on settlement type classification of quickbird images
TI - Effects of viewing- and illumination geometry on settlement type classification of quickbird images
UR - http://hdl.handle.net/10204/5320
ER -
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en_ZA |