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As an important component of ITS (Intelligent Transformation System), the road-network features in navigable database are characterized by multi-scale representations, which means that several repre...
The increasing number of Earth observation sensors on the market is making the choice of optimized data sources to serve operational needs more complex than ever before. Applying a geographic perspe...
The paper describes reading criteria for the documentation for important buildings in Milan, Italy, as a case study of the research on the integration of new technologies to obtain 3D multi-scale rep...
Manned aircraft has long been used for capturing large-scale aerial images, yet the high costs and weather dependence restrict its availability in emergency situations. In recent years, MAV (Micro Aer...
The problem addressed is this: most environmental issues require context to solve them. Is the ocean getting warmer? Is the desert growing? Is the forest declining? Solution: measure the temperature...
The study deals with semi automatic extraction of urban risk related base data and their different generic aspects. Emphasis is given to the building footprint map which is a major base data. The mai...
Natural disasters are rapid and extreme events within the Earth's system. Since unheralded events are associated with widespread destruction and high mortality, there is a need for rapid, accurate an...
This paper has the aim of illustrating an automatic and speditive way for retrieving inundation extent from multispectral and multitemporal satellite data, together with land-cover changes caused by ...
This paper presents an automatic system for generating multi-scale colour 3D satellite images and dynamic visualization of 3D images through the Internet. Medium-resolution satellite images such as L...
Polygon-based classification was performed on multi-scale images of SPOT4 XS, SPOT5 XS, IKONOS XS, QuickBird XS and QuickBird Pansharpaned (PS) covering an agricultural area located in Karacabey, Tur...
The objective of this research was the design and development of a region-based multi-scale segmentation algorithm with the integration of complex texture features, in order to provide a low level pro...
This paper presents field-based classifications performed using the multi-resolution images of SPOT4 XS, SPOT5 XS, IKONOS XS,QuickBird XS, and QuickBird Pansharpaned (PS) covering an agricultural area...
In this paper a supervised approach for the object building / segmentation process utilizing a priori knowledge about the specific scale domain of the target features is proposed. One premise was that...
In cartographic generalization, cartographic entities would change with scale. State and event are two basic elements to describe these changes. However, current hierarchical multi-scale representati...
Data mining models show great efficiency on acquiring knowledge for expert system classification. This study aimed at mining knowledge contained in landscape from multi-scale spatial data using decis...

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