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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...
Very high resolution space borne imagery is essential for a large scale and very detailed urban monitoring and the Quickbird sensor is one of those. It offers images with a spatial resolution of 0.6...
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...
Rapid growing of population, a reliable solution is essential to monitor the changes and make the digital map revised. The need of fast decision making and complete control on problems is one of the...

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