Object detection in side scan sonar

Wenwu Wang; Binbin Cheng; Yao Chen

doi:10.1117/12.2205394

17 December 2015 Object detection in side scan sonar

Wenwu Wang, Binbin Cheng, Yao Chen

Proceedings Volume 9811, MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis; 98110Z (2015) https://doi.org/10.1117/12.2205394
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

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.

Citation Download Citation

Wenwu Wang, Binbin Cheng, and Yao Chen "Object detection in side scan sonar", Proc. SPIE 9811, MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis, 98110Z (17 December 2015); https://doi.org/10.1117/12.2205394

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