23 August 2013 Oil spill detection in ocean environment via ultrasonic imaging and spectral fringe-adjusted joint transform correlation
Nizam U. Chowdhury, Adel A. Sakla, Mohammad S. Alam
Author Affiliations +
Abstract
A novel technique for oil spill detection in an ocean environment from ultrasonic hyperspectral imagery (UHI) using spectral fringe-adjusted joint transform correlation (SFJTC) is presented. Since UHI is a new concept and such data are not available, for this work an UHI dataset is created from pure target (oil) and background (sea water) signatures using a linear mixing model. A new SFJTC-based technique for oil spill detection in ocean environment has been developed and tested by using the UHI dataset. To evaluate the performance of the proposed technique, we used the receiver operating characteristics (ROC) curves and the area under the ROC. Test results confirm that the proposed technique shows excellent results even in the presence of a large amount of noise in the UHI data.
© 2013 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2013/$25.00 © 2013 SPIE
Nizam U. Chowdhury, Adel A. Sakla, and Mohammad S. Alam "Oil spill detection in ocean environment via ultrasonic imaging and spectral fringe-adjusted joint transform correlation," Optical Engineering 52(8), 083109 (23 August 2013). https://doi.org/10.1117/1.OE.52.8.083109
Published: 23 August 2013
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Cited by 2 scholarly publications.
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KEYWORDS
Signal attenuation

Signal to noise ratio

Environmental sensing

Ultrasonics

Ultrasonography

Joint transforms

Absorption

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