Automated detection of sedimentary features using wavelet analysis and neural networks on single beam echosounder data: A case study from the Venice Lagoon, Italy

► We present a fast method for automated acoustic classification of sedimentary features from Single Beam Echosounder data. ► The results of the automated classification are checked against echograms and cores. ► We map the main sedimentary features in a study area in the Venice Lagoon. ► We classify the main lagoon acoustic and sedimentary facies.