Broadband fish identification of great lake fishes
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Broadband Fish Identification of Great Lake Fishes. Patrick Simpson and Mike Tuohey Scientific Fishery Systems, Inc. Anchorage, AK Guy Fleischer and Ray Argyle Biological Resources Division - U.S. Geological Survey Great Lakes Science Center Ann Arbor, MI. Overview. Why Broadband Sonar?

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Broadband Fish Identification of Great Lake Fishes

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Broadband fish identification of great lake fishes

Broadband Fish Identification of Great Lake Fishes

Patrick Simpson and Mike Tuohey

Scientific Fishery Systems, Inc.

Anchorage, AK

Guy Fleischer and Ray Argyle

Biological Resources Division - U.S. Geological Survey

Great Lakes Science Center

Ann Arbor, MI


Overview

Overview

  • Why Broadband Sonar?

  • System Overview

  • Data Collection

  • Classification Results

  • Future Work


Broadband vs narrowband

Broadband vs. Narrowband


Benefits of broadband fish identification

Benefits of Broadband Fish Identification

  • Full-Column Assessment

  • Continuous Assessment

  • Remote Assessment

  • Cost Savings


Broadband sonar fish identification system prototype

Broadband Sonar Fish Identification System Prototype


Broadband transducer

Broadband Transducer

  • Resonant Frequency 153,600 Hz

  • 3 dB Operation Band45 kHz (138 - 183 kHz) Q=3.4

  • Active Surface177-mm disc

  • Beam Pattern4.1° beamwidth, sidelobes @ 20 dB

  • Rated Power80 W transducer & wet electronics

  • Source Level216 dB re 1 uPa @ 1 m @ 153.6 kHz

  • Transmit Sensitivitypeak TVR of 181 dB re 1 uPa-m/V @ 169 kHz

  • Receive Sensitivitypeak OCVR of -180 dB re 1 V/uPa @ 169 kHz


Processing platform

Processing Platform

  • Mid-tower computer case with 230 W power supply

  • Plato motherboard with ISA/PCI bus adapters, 256 kByte cache

  • Intel Pentium 90 MHz CPU with 16 Mbyte DRAM

  • PCI SCSI-2 host adapter controlling three SCSI-2 devices below

  • 1.0 GB hard disk, 1.3 GB magneto-optical drive, and quad-speed SCSI-2 CD-ROM

  • 12 bit 770 kS/s ADC/DSP card with 486DX2/66 and 4 MB on-board DRAM

  • 1280 x 1024 video monitor and video adapter card with 2 MB DRAM

  • DOS 6.22 running ORCA.EXE Interface & Processing


Data processing

Data Processing

A/D

CONVERSION

ECHO

DETECTION

ACOUSTIC RECEIVER

FEATURE EXTRACTION

MAN-MACHINE

INTERFACE

CLASSIFICATION

SIGNATURE

DATABASE


Features

Features

  • Single Ping Parameters

  • Multiple Ping Parameters

  • Environmental Parameters


Neural net classifier

Features

Input

a

a

a

a

o o o

F

1

n

3

2

A

Nodes

Hidden

b

b

b

b

o o o

F

Nodes

p

3

2

1

B

Output

c

c

c

c

o o o

Nodes

F

m

3

2

1

C

Classes

Neural Net Classifier


Tethered individual fish

Tethered Individual Fish


Free swimming fish

Free-Swimming Fish


Tethered data collection

Tethered Data Collection


Classification results

Classification Results


Tethered vs free swimming results

Tethered Vs. Free-Swimming Results


Future work

Future Work

  • Wider Beam (15 degrees)

  • Dual / Split Beam

  • Greater Source Level

  • Streamline Data Storage and Analysis

  • More Data Collection


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