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Synoptic mapping of high-rise buildings in urban areas based on combined shadow analysis and scale space processing

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A highly automated methodology is described to map locations and heights of high-rise buildings from single high-resolution multi-spectral satellite imagery. The approach involves preliminary shadow detection using the Tsai colour invariant transform and scale space processing to identify candidate building pixels. Application of shadow-building and shadow length constraints led to mapping of the location and height of building candidate objects. The approach has been applied to a winter SPOT 5 scene of Beijing, China. Tests of buildings in a suburban area indicate that a high detection rate (93%) can be achieved for buildings taller than 28 m. A height estimation accuracy of 20 m has also been met for these buildings.
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Document Type: Research Article

Affiliations: 1: Canada Centre for Remote Sensing, Natural Resources Canada, Ottawa, Canada 2: Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China 3: Photogrammetry and Remote Sensing Centre, Beijing, China

Publication date: May 19, 2014

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