In addition to conventional use of satellite data, machine learning methods are used to identify certain patterns. Artificial intelligence is helpful, for example, to recognize objects that appear in combination with certain other objects. In view of the diversity of landscape forms, however, the use of such techniques in geoinformatics is more difficult than, for example, in face recognition, which is already well established.
Our approach also uses unsupervised AI. With this method the system learns to independently identify patterns and connections in the data in an explorative manner. The algorithm is fed with input data without being given a goal – a certain type of pattern that it should look for.
With this approach our customers can save time, money and lifes.