Acoustic remote sensing techniques is a useful tool for seabed sediment classification in hydrography, that in this method, seabed sediments estimated using send and receive sound waves and analysis of the backscatter data. Backscatter data from sediment has several features that can be made by extracting them, sediment separating and classification.in this paper, is provided laboratory conditions to investigate the acoustic properties of sediments. Echo receive from sediment in 4 Frequency (55, 60, 65, 73 khz) is processed using acoustic devices and Insert 4 type of sediment in the aquarium bed. Feature were extracted, including statistical moment (energy, time-spread, skewness and kurtosis), spectral moment (standard deviation, the order of the moment, spectral skewness, spectral kurtosis and power spectral density) and the fractal dimension (Hausdorff (. In this experiment, energy parameter, standard deviation and average power (from power spectral density) well able to distinguish sediments.