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Proceedings Paper

Visualizing underwater acoustic matched-field processing
Author(s): Lawrence Rosenblum; Behzad Kamgar-Parsi; Margarida Karahalios; Richard Heitmeyer
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Paper Abstract

Matched-field processing is a new technique for processing ocean acoustic data measured by an array of hydrophones. It produces estimates of the location of sources of acoustic energy. This method differs from source localization techniques in other disciplines in that it uses the complex underwater acoustic environment to improve the accuracy of the source localization. An unexplored problem in matched-field processing has been to separate multiple sources within a matched-field ambiguity function. Underwater acoustic processing is one of many disciplines where a synthesis of computer graphics and image processing is producing new insight. The benefits of different volume visualization algorithms for matched-field display are discussed. The authors show how this led to a template matching scheme for identifying a source within the matched-field ambiguity function that can help move toward an automated source localization process.

Paper Details

Date Published: 1 June 1991
PDF: 9 pages
Proc. SPIE 1459, Extracting Meaning from Complex Data: Processing, Display, Interaction II, (1 June 1991); doi: 10.1117/12.44403
Show Author Affiliations
Lawrence Rosenblum, Naval Research Lab. (United States)
Behzad Kamgar-Parsi, Naval Research Lab. (United States)
Margarida Karahalios, Naval Research Lab. (United States)
Richard Heitmeyer, Naval Research Lab. (United States)


Published in SPIE Proceedings Vol. 1459:
Extracting Meaning from Complex Data: Processing, Display, Interaction II
Edward J. Farrell, Editor(s)

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