Urban land use maps is one of most impor tant data for urban planner in the pla nning process that its production by using traditional methods need to high cost and times. Currently, ur ban land-use mapping is still largely based on visual interpretat ion using aerial photographs or satell ite images, owing to the complexity of urban pa tterns and the lack of tools for automatic sol utions. Instead, object-oriented methods can be imag e segmentation based on the spectral charac teristics, form, texture, and relationsh ips between phenomena that result in a hierarchy of classes in the cl assification of land use; especial ly urban land use. In this s tudy segmentation and hierarchical classification approach based on sp atial frequency characteristics applied to Quick-Bird multispe ctral satellite data for urban main land use cla ssification in northern part of Zanjan city . The results shows that residential, gree n space, main building such as commercial and sports area and water body has been classified more than 81 % overall accuracy.
کلید واژگان :Zanjan, Urban Land use, objec t-base, Quick-Bird Images
ارزش ریالی : 300000 ریال
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