Synthetic Sonar Image Simulation with Various Seabed Conditions for Automatic Target Recognition

Author:

Shin Jane1,Chang Shi2,Bays Matthew J.3,Weaver Joshua3,Wettergren Thomas A.4,Ferrari Silvia2

Affiliation:

1. University of Florida,Gainesville,FL,USA

2. Cornell University,Ithaca,NY,USA

3. Naval Surface Warfare Center, Panama City Division,Panama City,FL,USA

4. Naval Undersea Warfare Center, Newport,Newport,RI,USA

Funder

Office of Naval Research

Publisher

IEEE

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. LSTM-based DEM generation in riverine environment;Applied Computing and Geosciences;2024-09

2. Cycle-GAN-based synthetic sonar image generation for improved underwater classification;Ocean Sensing and Monitoring XVI;2024-06-06

3. When design workshops meet chatbots: Meaningful participation at scale?;International Journal of Architectural Computing;2024-05-30

4. Sample Augmentation Method for Side-Scan Sonar Underwater Target Images Based on CBL-sinGAN;Journal of Marine Science and Engineering;2024-03-08

5. Evaluating large-language-model chatbots to engage communities in large-scale design projects;Artificial Intelligence for Engineering Design, Analysis and Manufacturing;2024

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