NDLI: An image processing approach to underwater acoustic signal classification

Content Provider	IEEE Xplore Digital Library
Author	Thyagarajan, K.S. Nguyen, T. Persons, C.E.
Copyright Year	1997
Description	Author affiliation: Dept. of Electr. & Comput. Eng., San Diego State Univ., CA, USA (Thyagarajan, K.S.)
Abstract	This work focuses on the use of image processing methods to detect and classify underwater acoustic signals. The time-frequency spectra of underwater acoustic signals are usually converted to lofargrams for display purposes. These lofargrams exhibit texture-like characteristics. Moving targets exhibit ramps while ambient noise has a noisy pattern. Hence, these can be detected using textural pattern classification methods. More specifically, textural features such as contrast, entropy, inverse difference moment, etc., are computed from the co-occurrence matrices of the lofargrams. A maximum likelihood classifier is designed to classify the different patterns in the lofargrams. We have successfully classified eight different narrowband underwater acoustic signals with an average classification accuracy of 99.99%.
Starting Page	4198
Ending Page	4203
File Size	501660
Page Count	6
File Format	PDF
ISBN	0780340531
ISSN	1062922X
DOI	10.1109/ICSMC.1997.637357
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-10-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image processing Underwater acoustics Signal processing Acoustic signal detection Acoustic noise Underwater tracking Time frequency analysis Image converters Displays Pattern classification
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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