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Urban environments represent one of the most dynamic regions on earth. In order to obtain more frequently updated and spatially detailed data on urban phenomena, remote sensing satellites can serve as a valuable instrument. With its ability to image the Earth's surface in nearly all weather conditions, together with its high spatial resolution, synthetic aperture radar (SAR) represents a very powerful...
The focus of this research is to develop an image analysis tool for building recognition in very high resolution (VHR) satellite image data. This method consists of two stages of analysis of a VHR satellite scene extract covering an urban area. Firstly, an initial image segmentation is carried out, based on a 4 neighbor connectivity similarity threshold and a segment range constraint. Statistical...
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