Angular Range Analysis (ARA) and K-Means Clustering of Multibeam Echosounder Data for Determining Sediment Type
Abstract: Backscatter value
was a key to determine seabed characteristic. Level of intensity or backscatter
informed through seabed type. One approach was use to analyze seabed type based
on the value of backscatter was Angular Range Analysis (ARA). ARA utilize influence
of angle backscattering intensities. The aim of this research was to determine
value of backscatter from the bottom and used to initial prediction of seabed.
Extraction processes of raw data obtained by acoustic signal processing
techniques. Analysis of backscatter data was conducted by using K-means method
to look the proximity of the centroid backscatter value against other values.
Backscatter intensity from this sites ranged from -41,93 dB to -27 dB. The
range value divided into three major classes based on Wenworth scale
classification. Substrate type in the study site consists of sand, silt, and
clay. Grain size diameter of each type include: sand 0.122713 mm (phi = 3.02),
silt 0.018171 mm (phi = 5.78) and clay 0.002690 mm (phi= 8.53). Based on this
result, signal processing multibeam echosounder able to classify seabed
backscatter values to determine the seabed type
Keywords: Angular Range
Analysis, multibeam echosounder, K-Means
Author: Fahrulian, Henry M
Manik, Indra Jaya, Udrekh
Journal Code: jpperikanangg160068
