caa a22 4500 397551584 CHVBK 20180308164751.0 cr unu---uuuuu 161202e199604 xx s 000 0 eng 10.1006/jmsc.1996.0025 doi (NATIONALLICENCE)oxford-10.1006/jmsc.1996.0025 Acoustic classification of zooplankton [Elektronische Daten] [Linda V. Martin, Timothy K. Stanton, Peter H. Wiebe, James F. Lynch] Accurate acoustic characterization of zooplankton species is essential if reliable estimates of zooplankton biomass are to be made from acoustic backscatter measurements of the water column. Much work has recently been done on the forward problem, where scattering predictions have been made based on animal morphology. Three categories of scatterers, represented by theoretical scattering models, have been identified by Stanton et al. (1994): gas-bearing (e.g. siphonophores), fluid-like (e.g. euphausiids) and hard elastic-shelled (e.g. pteropods). If there are consistent differences in the characteristic acoustic signatures of each of these classes of zooplankton, it should be possible to solve the inverse problem by using acoustic backscatter data to infer mathematically the class of scatterer. In this investigation of the feasibility of inverting acoustic data for scatterer-type, two different inversion techniques are applied to hundreds of pings of data collected from broadband ensonifications (∼350 kHz-750 kHz) of individual, live zooplankton tethered and suspended in a large tank filled with filtered sea water. In the Model Parameterization Classifier (MPC), the theoretical models for each scatterer-type are represented as either straight lines with slope and intercept parameters or rectified sinusoids with frequency and phase parameters. Individual pings are classified by comparison with these model parameterizations. The Empirical Orthogonal Function-based Classifier (EOFC) exploits the basic structure of the frequency response (e.g. presence of a resonance structure) through decomposition of the response into empirical orthogonal functions. Small groups of pings are classified by comparing their dominant modes with the dominant modes representative of the three scatterer-types. Preliminary results indicate that the acoustic classification of zooplankton ensonifications into categories representing distinct scatterer-types is feasible. Ultimately, it may be possible to develop in situ acoustic systems that are capable of inverting for the types of organisms sampled, thereby bridging the gap between acoustic backscatter measurements and estimates of zooplankton biomass. © 1996 International Council for the Exploration of the Sea Regular Articles nationallicence acoustics nationallicence biomass nationallicence classification nationallicence inversion nationallicence scattering nationallicence zooplankton nationallicence Martin Linda V. Massachusetts Institute of Technology/Woods Hole Oceanographic Institution Joint Program in Oceanography and Applied Ocean Sciences, Woods Hole, Massachusetts 02543, USA aut Stanton Timothy K. Department of Applied Ocean Physics and Engineering, Woods Hole Oceanographic Institution Woods Hole, Massachusetts 02543, USA aut Wiebe Peter H. Department of Biology, Woods Hole Oceanographic Institution Woods Hole, Massachusetts 02543, USA aut Lynch James F. Department of Applied Ocean Physics and Engineering, Woods Hole Oceanographic Institution Woods Hole, Massachusetts 02543, USA aut ICES Journal of Marine Science Oxford University Press 53/2(1996-04), 217-224 1054-3139 53:2<217 1996 53 icesjms https://doi.org/10.1006/jmsc.1996.0025 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1006/jmsc.1996.0025 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Martin Linda V. Massachusetts Institute of Technology/Woods Hole Oceanographic Institution Joint Program in Oceanography and Applied Ocean Sciences, Woods Hole, Massachusetts 02543, USA aut NATIONALLICENCE 700 1- Stanton Timothy K. Department of Applied Ocean Physics and Engineering, Woods Hole Oceanographic Institution Woods Hole, Massachusetts 02543, USA aut NATIONALLICENCE 700 1- Wiebe Peter H. Department of Biology, Woods Hole Oceanographic Institution Woods Hole, Massachusetts 02543, USA aut NATIONALLICENCE 700 1- Lynch James F. Department of Applied Ocean Physics and Engineering, Woods Hole Oceanographic Institution Woods Hole, Massachusetts 02543, USA aut NATIONALLICENCE 773 0- ICES Journal of Marine Science Oxford University Press 53/2(1996-04), 217-224 1054-3139 53:2<217 1996 53 icesjms Metadata rights reserved CC BY-NC-4.0 http://creativecommons.org/licenses/by-nc/4.0 nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-oxford