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The use of non-metric digital cameras in close-range photogrammetric applications and machine vision has become a popular research agenda. Being an essential component of photogrammetric evaluation, ...
This paper presents a novel method for detecting ships from high-resolution synthetic aperture radar (SAR) images. This method categorizes ship targets from single-pol SAR images using texture feature...
To obtain more flexibility and more effective capability of handling and processing imprecise information about the real world, fuzzy set theory is introduced into GIS. FuzzyCell is a system designed ...
Automatic building extraction remains an open research area in digital photogrammetry. While many algorithms have been proposed for building extraction, none of them solve the problem completely. This...
Accurate and frequently updated land cover maps of environmentally protected areas are necessary for the management of legislation programs governed by the EU, national authorities and local environ...
The thematic maps derived from remotely-sensed images are invaluable sources of information for various investigations since they provide spatial and temporal information about the nature of Earth su...
In this article, the possibility of using artificial neural networks for road detection from high resolution satellite images is tested on a part of RGB Ikonos and Quick-Bird images from Kish Island...
Road junctions are important objects for traffic related tasks, vehicle navigation systems, but also have a major role in topographic mapping. The paper describes an approach of automatic junction de...
The artificial neural networks are nice tools in the thematic mapping. The classification procedure requires carefully prepared training set. The research was aimed to show the effect of the generally...
The modelling or prediction of complex geospatial phenomena (like formation of geo-hazards) is one of the most important tasks for geoscientists. But in practice it faces various difficulties, caused ...

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