Title :
Signal processing for quantifying and classifying sonar target
Author_Institution :
Dept. of Marine Sci. & Technol., Bogor Agric. Univ., Bogor, Indonesia
Abstract :
Underwater acoustic instrument was used to quantify the fish backscattering strength (SV) and bottom scattering (SS). The measured SS by the bottom echo integration method are compared with the result from the ring surface scattering (RSS) model to confirm the reliability of the measurements and theory. The bottom material estimated by the quantified SS show that the fish schools are abundant in the sand bottom. It is found the acoustic instrument can identify fish, plankton and bottom fish habitats remotely.
Keywords :
signal processing; sonar target recognition; underwater acoustic propagation; bottom echo integration method; bottom fish habitats; bottom scattering; fish backscattering strength; fish schools; plankton; ring surface scattering model; signal processing; sonar target; underwater acoustic instrument; Acoustic measurements; Acoustic scattering; Acoustic signal processing; Backscatter; Instruments; Marine animals; Reliability theory; Signal processing; Sonar measurements; Underwater acoustics; fish and bottom backscattering; fish habitat; signal processing; target classifying;
Conference_Titel :
Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME), 2009 International Conference on
Conference_Location :
Bandung
Print_ISBN :
978-1-4244-4999-6
Electronic_ISBN :
978-1-4244-5000-8
DOI :
10.1109/ICICI-BME.2009.5417243