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The reliability of support vector machines for classifying multi-spectral images of remote sensing has been proven in various studies. In this paper, we investigate their applicability for urban land cover in Wuhan, Hubei province of China. Firstly, radiation rectification, normalization processing and geometry registration are made between the bi-temporal images. Secondly, SVM approach is used in...
This study aims to detect the urban expansion in the Greater Toronto Area (GTA) in the period of 29 years lasting from 1985 to 2013 using the optical remote sensing data. A time series study is carried out and the change of the urban area and non-urban area is analyzed bi-temporally and multi-temporally by using the post-classification comparison method. Landsat images can been used to examine the...
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