Searched for: author%3A%22Nedkov%2C+S.%22
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Nedkov, S. (author)
Successfully navigating a damaged infrastructure is challenging due to a lack of automatic routing solutions and a shortage of real-time infrastructure status information. Remote sensing techniques, which are traditionally used, have drawbacks; clouds obscure the view, observation frequency is low, many phenomena can only be observed from the...
report 2012
document
Nedkov, S. (author), Zlatanova, S. (author)
Gathering infrastructure data in emergency situations is challenging. The affected by a disaster areas are often large and the needed observations numerous. Spaceborne remote sensing techniques cover large areas but they are of limited use as their field of view may be blocked by clouds, smoke, buildings, highways, etc. Remote sensing products...
conference paper 2012
document
Nedkov, S. (author), Zlatanova, S. (author)
City infrastructures are sensitive to disasters. To aid rescue workers and citizens, a system is needed which determines the shortest route to a certain location, taking the damages of the infrastructure into account. The biggest disadvantage of current navigation systems is that they are “closed” i.e. they are built on top of commercial...
conference paper 2011
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Frontoni, E. (author), Khoshelham, K. (author), Nardinocchi, C. (author), Nedkov, S. (author), Zingaretti, P. (author)
Automatic building detection has been a hot topic since the early 1990’s. Early approaches were based on a single aerial image. Detecting buildings is a difficult task so it can be more effective when multiple sources of information are obtained and fused. The objective of this paper is to provide a comparative analysis of automatic approaches...
conference paper 2008
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Khoshelham, K. (author), Nedkov, S. (author), Nardinocchi, C. (author)
Automated approaches to building detection are of great importance in a number of different applications including map updating and monitoring of informal settlements. With the availability of multi-source aerial data in recent years, data fusion approaches to automated building detection have become more popular. In this paper, two data fusion...
conference paper 2008
Searched for: author%3A%22Nedkov%2C+S.%22
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