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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)
from digital aerial and satellite imagery may be found in Abstract Suetens et al. The automation of object extraction from digital imagery has and Lukes (1998). been a key research issue in digital photogrammetry and com-The majority of current object extraction methodologies puter vision. In the spatiotemporal context of modern GIS, with are(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)
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 per(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)
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 spatiotemporal applications, meaningful changes vary according to object type, level of detail, and nature of application. In this paper, we introduce a dynamic classification scheme and its interaction with a spatiotemporal model, to describe change propagation in spatiotemporal queries. Our classification is based on identifying three levels of change,(More)
With volunteered geographic information (VGI) platforms such as OpenStreetMap (OSM) becoming increasingly popular, we are faced with the challenge of assessing the quality of their content, in order to better understand its place relative to the authoritative content of more traditional sources. Until now, studies have focused primarily on developed(More)