Feature clustering for orthophotomap analysis

In our paper we use neural networks for the tuning of image feature extraction algorithms and for the analysis of orthophotomaps. In our approach we split an aerial photo into a regular grid of segments and for each segment we detect a set of features. These features describe the segment from the viewpoint of general image analysis (color, tint, texture, etc.) as well as from the viewpoint of the shapes in the segment. We also present our approach to the validation of extracted features using a neural network. In the paper we present an experiment based on orthophotomap segment clustering using the formal concept analysis with a selected group of features.