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Monday, July 8 • 17:10 - 17:30
IDENTIFICATION OF AQUATIC PLANTS IN SHALLOW WATERS BASED ON THE SOUND ABSORPTION MODEL COMBINED WITH THE DEEP LEARNING METHOD

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Due to the eutrophication phenomena in shallow waters, e.g. lakes and rivers, aquatic plants may grow rapidly and cause serious ecological problems. Therefore, the measurement and evaluation of the underwater plants are important for the environmental protection and ecological restoration of shallow waters. Ultrasonic sensors are widely used to detect underwater objects due to their ad-vantages of low cost and real-time monitoring. This paper develops an echo-location measurement system which includes the acoustic source, the propagation model of the water media and the sound absorption model of the aquatic plants and sediments. The proposed sound absorption models show the relationship between sound absorption coefficient and the amount of plant. Experiments are then carried out to measure and identify the sound absorption coefficients of the plant samples. Considering variations of different kind of plants, a deep learning method is employed to identify different plants and eliminate the differences in experiments. By using the model of plants, the identification and quantity estimation of aquatic plants with conventional ultrasonic sensors is realized.

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avatar for VENUGOPALAN PALLAYIL

VENUGOPALAN PALLAYIL

DEPUTY HEAD/SENIOR RESEARCH FELLOW, ACOUSTIC RESEARCH LAB, NATIONAL UNIVERSITY OF SINGAPORE
A senior researcher with 30 years of experience in underwater acoustics research. Senior member of IEEE, Member of IIAV, ASA and Society of Acoustics Singapore. IEEE OES AdCom and JOAB member, General Chair for OCEANS 2020 Singapore and co-Chair for ICSV 28 Singapore. See my technical... Read More →

Authors

Monday July 8, 2019 17:10 - 17:30 EDT
Westmount 5
  T12 Underwater & marit. noise, RS01 Underwater sound