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In this paper, we put forward an approach to extract water-body in remote sensing image using logic operation defined by ourselves. In order to use this method to extract water-body, firstly, NDVI was calculated from multi-spectral image, and vegetation was removed by a certain threshold; Secondly, artificial buildings, cultivated land, cloud, and bare land were extracted according to the spectral...
Ontology learning is from a given area document sets automatic or semi-automatic extraction terms to construct a domain ontology. Area concept extraction is one of the most important aspects in building ontology. In this paper, we proposed an improved area concept extraction algorithm. In the algorithm, we firstly employed association rule algorithm to obtain the similarity between the sememes, and...
This paper presents a novel planner for manipulators and robots in changing environments. When environments are complicated, it's always difficult to find a completely valid path solution, which is essential for many methods. However, our planner searches for several path segments to make robot move towards its goal as much as possible even though such a complete solution doesn't exist currently....
This paper analyses the visual characteristics of ground buildings in high resolution SAR images: the L-shaped echoes resulted from layer over and corner reflection effects give expression to the information of location and height of buildings. Therefore, to vectorize the L-shaped outline of the buildings has a great value in the field of city mapping. Focusing on L-shaped echoes, this paper investigates...
The objective of this research is to apply content analysis and decision tree criteria to analyze unstructured customer data. Base on this analysis, the hidden customer knowledge is discovered and a customer relationship management models is proposed. This could provide the best service model owing to the enounced of customer-orientation and making more effective marketing strategy. Finally, a case...
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