Method for classifying underwater objects, having the following characteristics: a) the method uses an unmanned underwater vehicle, which is referred to below as AUV and has a sonar device connected to an AUV computer, and a mother ship computer of a mother ship, which communicates on the one hand with the AUV computer and on the other hand with a data center, b) during a classification mission, the AUV computer uses a mine hunting classification programme to classify underwater objects from raw sonar data sections of the sonar device, c)-the mother ship transmits to the data centre, prior to a classification mission, at least one mission parameter value and an associated standard deviation value of at least one mission parameter from each of the following groups: • Group with seabed mission parameters, • Group with mission parameters of the underwater objects to be detected, • Group with mission parameters of the sea area, • Group with mission parameters-of the operational task, d) the data center has access to the respective programme source code of several mine hunting classification programmes, e) the data centre calculates a suitability value and an error value for each of the several mine hunting classification programmes using a calculation programme with the mathematical tools of Polynomial Chaos Expansion and Item Response Theory, on the basis of the transmitted mission parameter values and associated standard deviation values and on the basis of the respective programme source code, f) the AUV uses the mine hunting classification programme with a maximum use value derived from the suitability value and the error value. a) the method uses an unmanned underwater vehicle, which is referred to below as AUV and has a sonar device connected to an AUV computer, and a mother ship computer of a mother ship, which communicates on the one hand with the AUV computer and on the other hand with a data center, b) during a classification mission, the AUV computer uses a mine hunting classification programme to classify underwater objects from raw sonar data sections of the sonar device, c)-the mother ship transmits to the data centre, prior to a classification mission, at least one mission parameter value and an associated standard deviation value of at least one mission parameter from each of the following groups: • Group with seabed mission parameters, • Group with mission parameters of the underwater objects to be detected, • Group with mission parameters of the sea area, • Group with mission parameters-of the operational task, • Group with seabed mission parameters, • Group with mission parameters of the underwater objects to be detected, • Group with mission parameters of the sea area, • Group with mission parameters-of the operational task, d) the data center has access to the respective programme source code of several mine hunting classification programmes, e) the data centre calculates a suitability value and an error value for each of the several mine hunting classification programmes using a calculation programme with the mathematical tools of Polynomial Chaos Expansion and Item Response Theory, on the basis of the transmitted mission parameter values and associated standard deviation values and on the basis of the respective programme source code, f) the AUV uses the mine hunting classification programme with a maximum use value derived from the suitability value and the error value.