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Spatial information pertaining to the neighborhood mapping can only be available at the scales of centimeters to meters. In this study, we utilize spatial, structural and contextural features calculated at multiple spatial scales to assess feature-based urban mapping using two different high-spatial resolution sensors (SPOT versus Quickbird) and evaluate the difference in describing neighborhood at...
People living within cities tend to live near others who have similar characteristics such as socioeconomic status, religion or ethnicity. Generally the characteristics of these spatial groups manifest themselves at the neighborhood level and they live in similar dwellings. In this study we examine the ability to use spatial features and spectral information, derived from high spatial resolution satellite...
To investigate the potential property contained in the user profile, providing an ideal platform for information exchange and sharing within social network users, and to propose a client-targeted community detection algorithm based on analysis of user profile. Community detection is finally accomplished by combining users who are of similar interest, study purpose and behavior in consideration of...
Spectrum sensing is a key technology of cognitive radio (CR). In CR systems, the main requirement of spectrum sensing is the ability of rapid and accurate detection of the presence of the primary user. In this paper, we propose a spectrum sensing method using artificial neural network (ANN). Detailed analysis shows that the proposed scheme is appropriate to detect the signals under considerably low...
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