Lilan Zou1, Bo Liang1, Xu Cheng2, Shufa Li1,*, Cong Lin1,*
CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.3, pp. 2641-2659, 2023, DOI:10.32604/cmes.2023.028037
Abstract Target signal acquisition and detection based on sonar images is a challenging task due to the complex underwater
environment. In order to solve the problem that some semantic information in sonar images is lost and model
detection performance is degraded due to the complex imaging environment, we proposed a more effective and
robust target detection framework based on deep learning, which can make full use of the acoustic shadow
information in the forward-looking sonar images to assist underwater target detection. Firstly, the weighted box
fusion method is adopted to generate a fusion box by weighted fusion of prediction boxes with… More >
Graphic Abstract
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