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In machine learning, the preprocessing of the observations and the resulting features are one of the most important factors for the performance of the final system. In this paper, a robust approach to...
In this paper, the potential of multitemporal ERS-1/2 InSAR data for detecting urban land-cover changes is investigated on a test area within Shanghai city, China. A new unsupervised change-detection...
The rapidity of urban dymanics has a significant impact on the spatial patterns associated with the growth and expansion of metropolitan areas. High resolution satellite imagery with equally rapid ima...
Urban growth is a complex dynamical process associated with landscape change driving forces such as the environment, politics, geography and many others that affect the city at multiple spatial and te...

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