This paper proposes an efficient imaging sonar simulation method based on 3D modeling. In underwater scenarios, a forward-looking sonar, which is also known as an acoustic camera, outperforms other sensors including popular optical cameras, for it is resistant to turbidity and weak illumination, which are typical in underwater environments, and thus able to provide accurate information of the environments. For those underwater tasks highly automated along with artificial intelligence and computer vision, the development of the acoustic image simulator can provide support by reproducing the environment and generating synthetic acoustic images. It can also facilitate researchers to tackle the scarcity of real underwater data in some theoretical studies. In this paper, we make use of the 3D modeling technique to simulate the underwater scenarios and the flexible automated control of the acoustic camera and objects in the scenarios. The simulation results and the comparison to real acoustic images demonstrate that the proposed simulator can generate accurate synthetic acoustic images efficiently and flexibly.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.