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Remote sensing technique has advantages in exploring the spatiotemporal trends of urbanization compared with traditional socioeconomic indicators (e.g. population growth, employment shifts, etc.). Details in urban change and growth can be effectively identified using multi-temporal images of remote sensing by multi-scales analysis approaches at the metropolitan, city or district level. In this study,...
An appropriate pre-processing algorithm in classification is not only of great importance with respect to classifier choice, but also would be more crucial. In this paper, a pre-processing step is proposed in order to increase accuracy of classification. The aim of this approach is finding a transformation matrix causes classes to be more discriminable by transforming data into the new space and consequently,...
Selecting suitable features is very crucial for achieving successful classification of land cover types. This paper presents a comparative study of three typical feature selection methods for the task of regional land cover classification using MODIS data. Comparison results have shown that Branch and Bound is the best for land cover classification with MODIS data, while ReliefF and mRMR achieve nearly...
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