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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/5320

Title: Effects of viewing- and illumination geometry on settlement type classification of quickbird images
Authors: Van den Bergh, F
Keywords: Image classification
Urban areas
Image texture analysis
Quickbird images
Geometry
Geoscience
Remote sensing
IGARSS 2011
Issue Date: Jul-2011
Publisher: IEEE
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
Series/Report no.: Workflow request;7237
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.
Description: 2011 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Vancouver, Canada, 24-29 July 2011
URI: http://hdl.handle.net/10204/5320
Appears in Collections:Mining and geoscience
Earth observation
General science, engineering & technology

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