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Proceedings Paper

Object detection in side scan sonar
Author(s): Wenwu Wang; Binbin Cheng; Yao Chen
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Paper Abstract

Automatic target detection is a challenging task as the response from an underwater target may vary greatly depending on its configuration, sonar parameters and the environment. We propose a Z- test algorithm for target detection in side scan sonar image which avoids this problem that covers the variation in the target response. A Z-test is performed on the means of the pixel gray levels within and outside the window area, a detection being called when the value of test statistic feature exceeds a certain threshold. The algorithm is formulated for real-time execution on limited memory commercial-of-the-shelf platforms and is capable of detection objects on the seabed-bottom.

Paper Details

Date Published: 17 December 2015
PDF: 5 pages
Proc. SPIE 9811, MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis, 98110Z (17 December 2015); doi: 10.1117/12.2205394
Show Author Affiliations
Wenwu Wang, Wuhan Univ. of Science and Technology (China)
Binbin Cheng, China Shipbuilding Industry Corp. (China)
Yao Chen, China Shipbuilding Industry Corp. (China)

Published in SPIE Proceedings Vol. 9811:
MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis
Jinxue Wang; Zhiguo Cao; Jayaram K. Udupa; Henri Maître, Editor(s)

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