Influence of surface object movement parameters on the hydroacoustic RGB classification method

Abstract

This article presents the influence of floating objects motion parameters on the hydroacoustic RGB classification method. The data analysis was obtained through in-situ measurements by the IGLOO sensor nodes. This hardware was engineered in the Polish Naval Academy as part of the European Defense Agency’s (EDA) project ‘SIRAMIS’, realized between 2012 and 2015. The purpose of the analysis of the data obtained is the classification of identified underwater or surface objects in order that several extracted RGB parameters could be calculated and sent in real time using a low-rate information underwater communication modem.The analysis used the RGB method which is based on a one-third-octave spectrum, and raw and normalized data of one object. Moreover, the distinctive feature was selected based on the results of the calculations, and discussed depending on the position (distance) of the detected object relative to the detector.The important question of the data analysis is whether the distance of the examined object from the measurement sensor has an impact on the resolution in the RGB method, known as “acoustical colours“.