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Built-up areas are typical man-made structure in urban environment, and timely and accurately acquiring built-up area layers can provide necessary geo-spatial information for planners and policymakers. In this paper, a data field-based method is proposed for the automated detection of built-up areas from high-resolution satellite images. This method views the local corner features of buildings as...
In the classification of high-resolution remote sensing images, spatial correlations between pixel values are important spatial information. Traditional methods of measuring spatial correlation are inadequate for the extraction of spatial information about the shape and structure of object classes. In this letter, we propose a novel method using directional spatial correlation (DSC) to model and extract...
- In the process of image mining for robot vision, concept analysis is an important technique. The paper proposes a novel framework of image mining for robot vision based on concept lattice theory and cloud model theory. Concept lattice reflects the process of human's concept formation with mathematical formal language. Cloud model is a transformation model between qualitative concepts and quantitative...
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