Journal
INTERNATIONAL JOURNAL OF REMOTE SENSING
Volume 28, Issue 22, Pages 5167-5173Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/01431160701604703
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Funding
- EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH &HUMAN DEVELOPMENT [R21HD046612] Funding Source: NIH RePORTER
- NICHD NIH HHS [R21 HD046612-02, R21 HD046612] Funding Source: Medline
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A segmentation and hierarchical classification approach applied to QuickBird multispectral satellite data was implemented, with the goal of delineating residential land use polygons and identifying low and high socio-economic status of neighbourhoods within Accra,Ghana. Two types of object-based classification strategies were tested, one based on spatial frequency characteristics of multispectral data, and the other based on proportions of Vegetation Impervious-Soil sub-objects. Both approaches yielded residential land-use maps with similar overall percentage accuracy (75%) and kappa index of agreement (0.62) values, based on test objects from visual interpretation of QuickBird panchromatic imagery.
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