Method for classifying
underwater objects (40), having the following features: a) the method uses an
unmanned underwater vehicle, which is referred to below as AUV (10) and has a
sonar device (12) connected to an AUV computer (11), and a mother ship computer (21) of a mother ship (20), which communicates on the one hand with the AUV computer (11) and on the other hand with a
data center (30), b) during a classification mission, the AUV computer (11) classifies
underwater objects (40) using a mine hunting classification program from
sonar raw data sections of the
sonar device (12), c) the mother ship (20) transmits at least one mission parameter value and an associated standard deviation value of at least one mission parameter from each of the following groups to the
data center before a classification mission: • group with mission parameters of the
seabed,• 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 program
source code of several mine-hunting classification programs, e) the data center calculates a suitability value and an error value for each of the several mine-hunting classification programs using a calculation program with the tools of a
polynomial chaos expansion and an item response theory, based on the transmitted mission parameter values and associated standard deviation values and based on the respective program
source code, f) the AUV (10) uses the mine-hunting classification program with a highest usage value derived from the suitability value and the error value.