Object-oriented change detection for the city of Harare, Zimbabwe

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• 作者：Ruvimbo Gamanya ; Philippe De Maeyer ; Morgan De Dapper
• 关键词：Remote sensing ; Satellite ; Land use ; Land cover ; Object-oriented ; Change detection ; Classification ; Sustainable development
• 刊名：Expert Systems with Applications
• 出版年：2009
• 出版时间：January 2009
• 年：2009
• 卷：36
• 期：1
• 页码：571-588
• 全文大小：3176 K

文摘

Object building and the extraction of homogeneous landscape units on which spatial statistics can be applied is useful in assessing land use and land cover change. Object-oriented processing techniques are becoming more popular compared to traditional pixel-based image analysis. A hierarchical image segmentation approach was adopted to extract the objects from multi-temporal Landsat images over Zimbabwe. The spatial arrangement of t₀ and t₁ objects was independent as the segmentation process was independently applied, although object change of t₁ was based on t₀ boundaries. We applied a Standardized, Object Oriented, Automatic Classification (SOOAC) method based on fuzzy logic. The error matrix for the TM image had an overall accuracy of 95.6 % and a KIA value of 94.7 % , the ETM showed slightly lower overall accuracy. Various LULC changes were identified over the 13 year period per object and also per class, mainly vegetation decrease. Object-oriented change information is necessary in decision support systems and uncertainty management strategies. This approach addresses some of the major issues in object-based GIS change analysis as it is based on stable object geometry.