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
Canada Centre for Remote Sensing, Natural Resources Canada, Ottawa, Canada
Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China
Photogrammetry and Remote Sensing Centre, Beijing, China
Publication date: May 19, 2014
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