NDLI: Coral Fish Shoal Detection from Acoustic Echograms

Content Provider	IEEE Xplore Digital Library
Author	Lotz, J. Zurk, L.M. McNames, J. Ellis, T. Ecochard, J.-L.
Copyright Year	2007
Description	Author affiliation: Portland State Univ., Portland (Lotz, J.; Zurk, L.M.)
Abstract	An algorithm was developed that processes data from a single-beam echosounder and GPS system to detect and analyze fish shoals. The proposed algorithm provides the ability to identify regions within an echogram that contain fish and statistically analyze the shoals. The echosounder used is a 50 kHz/200 kHz dual-frequency unit manufactured by Lowrance and was selected for its low-cost, off- the-shelf availability, and portability. The selected unit saves the data onto removable memory cards allowing for easy transfer and offline processing. The development of this algorithm faced several challenges: translating the data to a common format, bottom identification, noise rejection, and fish school recognition. The data is saved by the echosounder in a unique binary format but is parsed into a more manageable data structure by MATLAB software developed at Portland State University. The software, called EchoMap, was developed under sponsorship by The Nature Conservancy (TNC) in support of their marine habitat monitoring activities. EchoMap processes and interprets the echosounder data to generate coral reef profiles and to estimate the associated fish populations. This paper discusses the algorithm developed for fish shoal detection and cross-sectional shoal area estimation. Abundance and density of the fish shoals is assumed to be directly related to the area of the identified shoal. Shoals are segmented with a dynamic contouring method and typically have non-uniform shape. The area calculation was improved from the standard Riemann sum approach by using Green's theorem to translate the line integral of a closed level set contour into a surface integral. The advantages of using Green's theorem are higher accuracy and efficiency in estimating contour areas. Preliminary results of applying the detection algorithm to coral reef echograms provided by TNC show promise in the ability to identify fish shoals. Results were compared to detections made by experts in the field from echograms as well as the real-time Lowrance Fish I.D. algorithm. Applying a priori knowledge of fish characteristics may also allow species identification using the calculated descriptors.
Starting Page	1
Ending Page	7
File Size	3661904
Page Count	7
File Format	PDF
ISBN	9780933957350
DOI	10.1109/OCEANS.2007.4449220
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-29
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	MTS
Subject Keyword	Marine animals Acoustic signal detection Algorithm design and analysis Global Positioning System Manufacturing Educational institutions Face recognition Software development management Data structures MATLAB
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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