Target recognition method based on image simulation technology of underwater target in harsh environment

Hui Lin; Yunying Wang; Yuanyuan Guo; Fangyuan Jin; Lu Zhang; Meiyu Sun

doi:10.1117/12.3020301

30 April 2024 Target recognition method based on image simulation technology of underwater target in harsh environment

Hui Lin, Yunying Wang, Yuanyuan Guo, Fangyuan Jin, Lu Zhang, Meiyu Sun

Proceedings Volume 13156, Sixth Conference on Frontiers in Optical Imaging and Technology: Imaging Detection and Target Recognition; 131561L (2024) https://doi.org/10.1117/12.3020301
Event: Sixth Conference on Frontiers in Optical Imaging Technology and Applications (FOI2023), 2023, Nanjing, JS, China

Abstract

In order to study the recognition methods of underwater targets in harsh environments and improve the accuracy of image based underwater target recognition, a deep learning based underwater target recognition method in harsh environments was carried out. Propose a simulation method for underwater target harsh environment images based on clearer image samples. The simulation processing mainly includes adding random scale and spatial position obstructions, adding random noise, and obtaining simulated image data. Establish an integrated image dataset, which includes clearer original image data and simulated image data. The recognition results of target recognition models trained on the integrated image dataset have significantly improved compared to the original image dataset.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Hui Lin, Yunying Wang, Yuanyuan Guo, Fangyuan Jin, Lu Zhang, and Meiyu Sun "Target recognition method based on image simulation technology of underwater target in harsh environment", Proc. SPIE 13156, Sixth Conference on Frontiers in Optical Imaging and Technology: Imaging Detection and Target Recognition, 131561L (30 April 2024); https://doi.org/10.1117/12.3020301

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