Peggy Agouris

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Today, there is a huge amount of data gathered about the Earth, not only from new spatial information systems, but also from new and more sophisticated data collection technologies. This scenario leads to a number of interesting research challenges, such as how to integrate geographic information of different kinds. The basic motivation of this paper is to(More)
Recent technological advances have made it possible to collect large amounts of 3D trajectory data. Such data play an essential role in numerous applications and are becoming increasingly important in mobile computing. One of the fundamental challenges in many of these application areas is the assessment of similarity between trajectories. As objects moving(More)
In this paper we address the issue of road extraction from digital imagery using deformable contour models (snakes). We present a novel variation of the traditional snakes solution, where additional nodes are inserted, and redundant nodes are deleted, to better describe the complexity of the extracted line. Node insertion and deletion are based on an(More)
In this paper, we present a novel approach to the issue of extraction and tracking of objects in digital aerial images. The algorithms presented here are based on fuzzy systems theory, and are designed to function within an integrated geospatial environment. Such an environment comprises digital images and pre-existing information on the objects depicted on(More)
The assessment of the quality and accuracy of Volunteered Geographic Information (VGI) contributions, and by extension the ultimate utility of VGI data has fostered much debate within the geographic community. The limited research to date has been focused on VGI data of linear features and has shown that the error in the data is heterogeneously distributed.(More)
The extraction of road networks from digital imagery is a fundamental image analysis operation. Common problems encountered in automated road extraction include high sensitivity to typical scene clutter in high-resolution imagery, and Ž . Ž . inefficiency to meaningfully exploit multispectral imagery MSI . With a ground sample distance GSD of less than 2 m(More)
In this paper we extend our previous work on shape-based queries to support queries on configurations of image objects. Here we consider spatial reasoning, especially directional and metric object relationships. Existing models for spatial reasoning tend to rely on pre-identified cardinal directions and minimal scale variations, assumption that cannot be(More)