The actual process of rapid urbanisation is associated with various ecological, social and economic changes in both, the urban area and the surrounding natural environment. In order to keep up with the effects and impacts of this development, effective urban and regional planning requires accurate and up-to-date information on the urban dynamics. Recent studies have demonstrated the applicabili...

Conditional Random Fields (CRF) are among the most popular techniques for image labelling because of their flexibility in modelling dependencies between the labels and the image features. This paper proposes a novel CRFframework for image labeling problems which is capable to classify partially occluded objects. Our approach is evaluated on aerial near-vertical images as well as on urban street...

The objective of this work was the presentation of a knowledge-based framework for the identification of urban features, as well as additional land cover types, contained in the image scene. The test area used was located in an urban environment of Aghios Stefanos, Attica. An IKONOS image (spatial resolution of 1m-resampled) was acquired for the study area and further pre-processed. Furthermore...