DocumentCode
260046
Title
Application of Ocean Acoustic Tomography in Shape Reconstruction of Underwater Objects
Author
Mani, T. Ratna ; Kumar, O. Vijay ; Kumar, Raj
Author_Institution
Naval Phys. & Oceanogr. Lab., DRDO, Kochi, India
fYear
2014
fDate
22-24 Dec. 2014
Firstpage
327
Lastpage
332
Abstract
Underwater surveillance and sensing is generally based on acoustics i.e. Sonar. This paper presents the application of acoustic reflection tomography methods for reconstruction of reflectivity of the underwater objects in active sonar environment. Based on the physical optics approximate, and by exploiting the relation between ramp response and the profile function in the illuminated region of the object, the profile function is obtained by time frequency analysis,. The study indicates that fairly good profile function can be obtained by application of time frequency analysis methods using limited frequency domain data. Reflectivity of the object is computed by applying tomography technique on the profiles obtained from the acoustic data, reflected by the object. These results obtained are found to be sufficient for visual identification /classification of the underwater objects.
Keywords
acoustic tomography; image classification; image reconstruction; object recognition; shape recognition; sonar imaging; time-frequency analysis; active sonar environment; limited frequency domain data; object reflectivity; ocean acoustic reflection tomography application; physical optics approximate; ramp response; time frequency analysis; underwater object shape reconstruction; underwater sensing; underwater surveillance; visual classification; visual identification; Acoustics; Image reconstruction; Shape; Sonar measurements; Time-frequency analysis; Tomography; OAT; Shape reconstruction; Time Frequency Analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology (ICIT), 2014 International Conference on
Conference_Location
Bhubaneswar
Print_ISBN
978-1-4799-8083-3
Type
conf
DOI
10.1109/ICIT.2014.64
Filename
7033345
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