Πλοήγηση ανά Συγγραφέα "Stathakis, D."
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Applying urban compactness metrics on pan-european datasets
Stathakis, D.; Tsilimigkas, G. (2013)Urban compactness is measured for a number of medium sized European cities based on metrics available in the literature. The information used is a combination of Urban Atlas and Urban Audit data sets. The former is a source ... -
Cokriging areal interpolation for estimating economic activity using night-time light satellite data
Triantakonstantis, D.; Stathakis, D. (2014)There is a strong correlation between economic activity, which can be measured by Gross Domestic Product (GDP) and the night-time light emissions data. Gross Domestic product is usually available in large aggregate units ... -
Comparison of computational intelligence based classification techniques for remotely sensed optical image classification
Stathakis, D.; Vasilakos, A. (2006)Several computational intelligence components, namely neural networks (NNs), fuzzy sets, and genetic algorithms (GAs), have been applied separately or in combination to the process of remotely sensed data classification. ... -
Efficient segmentation of urban areas by the VIBI
Stathakis, D.; Perakis, K.; Savin, I. (2012)Urban populations are expanding rapidly and so are cities. Remote sensing offers a convenient means of monitoring this expansion as it covers a period of 40 years in the case of the LANDSAT satellite. In some parts of the ... -
Examining urban sprawl in Europe using spatial metrics
Triantakonstantis, D.; Stathakis, D. (2015)Urbanisation is a global phenomenon with an important impact on the quality of human life. Europe has been widely affected by urbanisation. One of the main characteristics of urban growth is sprawl, a negative form of urban ... -
Feature evolution for classification of remotely sensed data
Stathakis, D.; Perakis, K. (2007)In a number of remote-sensing applications,. it is critical to decrease the dimensionality of the input in order to reduce the complexity and, hence, the processing time and possibly improve classification accuracy. In ... -
Granular neural networks for land use classification
Vasilakos, A.; Stathakis, D. (2005)Granulation of information is a new way to describe the increased complexity of natural phenomena. The lack of clear borders in nature calls for a more efficient way to process such data. Land use both in general but also ... -
Measuring the compactness of European medium-sized cities by spatial metrics based on fused data sets
Stathakis, D.; Tsilimigkas, G. (2015)The main objective of this article is to compare European medium-sized cities in terms of compactness. Both existing and new metrics are used. The metrics are based on the fusion of recently available European-wide data ... -
Monitoring urban sprawl using simulated PROBA-V data
Stathakis, D.; Faraslis, I. (2014)Urbanization proceeds currently at a rapid pace and the impact on natural ecosystems cannot be neglected. Consequently, it is important to be able to monitor the expansion of urban areas. Yet the process of extracting them ... -
Satellite image classification using granular neural networks
Stathakis, D.; Vasilakos, A. (2006)The increased synergy between neural networks (NN) and fuzzy sets has led to the introduction of granular neural networks (GNNs) that operate on granules of information, rather than information itself. The fact that ...