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In this paper, we report the result of our preliminary research that aims to examine how spatio-temporal landscape patterns can be related to socio-economic and accessibility attributes with a coastal urban area as the case. Our research methodology emphasizes the use of remotely sensed data, in combination with census data and other geographically referenced data. We classify two satellite images...
Classification of remote sensing images from urban area as a means to achieve necessitated information for some applications such as automatic map updating and GIS, planning and emergency response has become one of the challenging subjects for image processing researches. In this paper, a method for classification of remote sensing image from urban area is addressed. First, motion based unsharp masking...
Large-scale urban green areas management tasks, like determining tree species and their degradation, require high geometrical accuracy, as well as efficient data extraction techniques. Are multi or hyperspectral image types suited for these tasks? To answer this question, the authors examined accuracy and extraction techniques for DAIS 7915, a hyperspectral sensor. Remote sensing software packages...
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