Unique Features

Most algorithms used in the application are based on the properties of Kohonen artificial neural networks. As a result not just a conventional classification of data is carried out, where the monitoring of relative class positions in the feature space is difficult. In addition, the ordination of classes is achieved by mapping them upon a planar grid while preserving topological relations between classes. This method assures reliable thematic interpretation, if the input data are changed. For example, images taken under different illumination conditions or even in different seasons can be used.