The Application of Artificial-Intelligence Techniques to the Automatic Identification of Sounds Received at Hydrophones and to the Correlation of These Sounds Between Hydrophones
The U. S. Navy's Integrated Underwater Surveillance System (IUSS) monitors hydrophones in the northeast Pacific. Geophysicists studying the IUSS data find seismic events and correlate them between hydrophones to locate their sources. Marine biologists and intelligence personnel are interested i...
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ftdtic:ADA276736 2023-05-15T15:37:12+02:00 The Application of Artificial-Intelligence Techniques to the Automatic Identification of Sounds Received at Hydrophones and to the Correlation of These Sounds Between Hydrophones Seem, Dennis A. NAVAL POSTGRADUATE SCHOOL MONTEREY CA 1993-12 text/html http://www.dtic.mil/docs/citations/ADA276736 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA276736 en eng http://www.dtic.mil/docs/citations/ADA276736 Approved for public release; distribution is unlimited. DTIC AND NTIS Computer Programming and Software Acoustic Detection and Detectors *MONITORING *ARTIFICIAL INTELLIGENCE *MONITORS *UNDERWATER SOUND *HYDROPHONES *COMPUTER VISION *ACOUSTIC TRACKING *UNDERSEA SURVEILLANCE SHAPE RATES THESES SEISMIC DETECTION FAR FIELD FAST FOURIER TRANSFORMS BIOLOGISTS SCIENTISTS WHALES UNDERWATER NORTH PACIFIC OCEAN LOW FREQUENCY DISTORTION ARCHITECTURE GEOPHYSICS PERSONNEL TIME IDENTIFICATION CORRELATION SOUND COMPUTER GRAPHICS WORK STATIONS *UNDERWATER SOUND LOCATORS IUSS(INTEGRATED UNDERWATER SURVEILLANCE SYSTEM) BALEEN WHALES WHALE MOANS Text 1993 ftdtic 2016-02-22T05:33:19Z The U. S. Navy's Integrated Underwater Surveillance System (IUSS) monitors hydrophones in the northeast Pacific. Geophysicists studying the IUSS data find seismic events and correlate them between hydrophones to locate their sources. Marine biologists and intelligence personnel are interested in the identification and localization of other sounds in the IUSS data. The current means of identifying and correlating sounds is a laborious visual examination of the data on a graphics workstation. In this thesis, a computer-vision method is presented for automatically identifying the sources of low-frequency sounds that are received on the IUSS hydrophones. Also presented in this thesis is a blackboard architecture for correlating sound 'shapes' between hydrophones using a time-shift transform. The methods in this thesis properly identify approximately 90% of apparent whale moans and 100% of seismic events. The use of the time-shift transform has resulted in nearly a 100% success rate in correlating whale moans between far-field hydrophones, despite marked sound distortions with distance. Sound correlation, Sound identification, Artificial intelligence, Blackboard architecture. Text baleen whales Defense Technical Information Center: DTIC Technical Reports database Pacific |
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Open Polar |
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Defense Technical Information Center: DTIC Technical Reports database |
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ftdtic |
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English |
topic |
Computer Programming and Software Acoustic Detection and Detectors *MONITORING *ARTIFICIAL INTELLIGENCE *MONITORS *UNDERWATER SOUND *HYDROPHONES *COMPUTER VISION *ACOUSTIC TRACKING *UNDERSEA SURVEILLANCE SHAPE RATES THESES SEISMIC DETECTION FAR FIELD FAST FOURIER TRANSFORMS BIOLOGISTS SCIENTISTS WHALES UNDERWATER NORTH PACIFIC OCEAN LOW FREQUENCY DISTORTION ARCHITECTURE GEOPHYSICS PERSONNEL TIME IDENTIFICATION CORRELATION SOUND COMPUTER GRAPHICS WORK STATIONS *UNDERWATER SOUND LOCATORS IUSS(INTEGRATED UNDERWATER SURVEILLANCE SYSTEM) BALEEN WHALES WHALE MOANS |
spellingShingle |
Computer Programming and Software Acoustic Detection and Detectors *MONITORING *ARTIFICIAL INTELLIGENCE *MONITORS *UNDERWATER SOUND *HYDROPHONES *COMPUTER VISION *ACOUSTIC TRACKING *UNDERSEA SURVEILLANCE SHAPE RATES THESES SEISMIC DETECTION FAR FIELD FAST FOURIER TRANSFORMS BIOLOGISTS SCIENTISTS WHALES UNDERWATER NORTH PACIFIC OCEAN LOW FREQUENCY DISTORTION ARCHITECTURE GEOPHYSICS PERSONNEL TIME IDENTIFICATION CORRELATION SOUND COMPUTER GRAPHICS WORK STATIONS *UNDERWATER SOUND LOCATORS IUSS(INTEGRATED UNDERWATER SURVEILLANCE SYSTEM) BALEEN WHALES WHALE MOANS Seem, Dennis A. The Application of Artificial-Intelligence Techniques to the Automatic Identification of Sounds Received at Hydrophones and to the Correlation of These Sounds Between Hydrophones |
topic_facet |
Computer Programming and Software Acoustic Detection and Detectors *MONITORING *ARTIFICIAL INTELLIGENCE *MONITORS *UNDERWATER SOUND *HYDROPHONES *COMPUTER VISION *ACOUSTIC TRACKING *UNDERSEA SURVEILLANCE SHAPE RATES THESES SEISMIC DETECTION FAR FIELD FAST FOURIER TRANSFORMS BIOLOGISTS SCIENTISTS WHALES UNDERWATER NORTH PACIFIC OCEAN LOW FREQUENCY DISTORTION ARCHITECTURE GEOPHYSICS PERSONNEL TIME IDENTIFICATION CORRELATION SOUND COMPUTER GRAPHICS WORK STATIONS *UNDERWATER SOUND LOCATORS IUSS(INTEGRATED UNDERWATER SURVEILLANCE SYSTEM) BALEEN WHALES WHALE MOANS |
description |
The U. S. Navy's Integrated Underwater Surveillance System (IUSS) monitors hydrophones in the northeast Pacific. Geophysicists studying the IUSS data find seismic events and correlate them between hydrophones to locate their sources. Marine biologists and intelligence personnel are interested in the identification and localization of other sounds in the IUSS data. The current means of identifying and correlating sounds is a laborious visual examination of the data on a graphics workstation. In this thesis, a computer-vision method is presented for automatically identifying the sources of low-frequency sounds that are received on the IUSS hydrophones. Also presented in this thesis is a blackboard architecture for correlating sound 'shapes' between hydrophones using a time-shift transform. The methods in this thesis properly identify approximately 90% of apparent whale moans and 100% of seismic events. The use of the time-shift transform has resulted in nearly a 100% success rate in correlating whale moans between far-field hydrophones, despite marked sound distortions with distance. Sound correlation, Sound identification, Artificial intelligence, Blackboard architecture. |
author2 |
NAVAL POSTGRADUATE SCHOOL MONTEREY CA |
format |
Text |
author |
Seem, Dennis A. |
author_facet |
Seem, Dennis A. |
author_sort |
Seem, Dennis A. |
title |
The Application of Artificial-Intelligence Techniques to the Automatic Identification of Sounds Received at Hydrophones and to the Correlation of These Sounds Between Hydrophones |
title_short |
The Application of Artificial-Intelligence Techniques to the Automatic Identification of Sounds Received at Hydrophones and to the Correlation of These Sounds Between Hydrophones |
title_full |
The Application of Artificial-Intelligence Techniques to the Automatic Identification of Sounds Received at Hydrophones and to the Correlation of These Sounds Between Hydrophones |
title_fullStr |
The Application of Artificial-Intelligence Techniques to the Automatic Identification of Sounds Received at Hydrophones and to the Correlation of These Sounds Between Hydrophones |
title_full_unstemmed |
The Application of Artificial-Intelligence Techniques to the Automatic Identification of Sounds Received at Hydrophones and to the Correlation of These Sounds Between Hydrophones |
title_sort |
application of artificial-intelligence techniques to the automatic identification of sounds received at hydrophones and to the correlation of these sounds between hydrophones |
publishDate |
1993 |
url |
http://www.dtic.mil/docs/citations/ADA276736 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA276736 |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
baleen whales |
genre_facet |
baleen whales |
op_source |
DTIC AND NTIS |
op_relation |
http://www.dtic.mil/docs/citations/ADA276736 |
op_rights |
Approved for public release; distribution is unlimited. |
_version_ |
1766367662270578688 |