近几年无人驾驶船的兴起使得传统的手工操作模式发生了改变，无人驾驶、数字驾驶、智能驾驶成为未来船舶发展的主要趋势。为保证无人船的安全，船舶应具备对周围环境的精确感知能力，并运用多种传感器及人工智能技术，建立海洋移动目标检测系统，以保证其在海上的安全运行。此次采用多特征融合技术进行检测得出，其准确率比一般的神经网络要高，而且与传统的神经网络方法相比也有较大的提高。对海洋中的多个运动物体进行辨识，结果也表明该算法是一种稳定、有效的方法。
In recent years, the rise of unmanned ships has changed the traditional manual operation mode, unmanned driving, digital driving, intelligent driving will become the main trend of the future ship development. In order to ensure the safety of unmanned ships, ships should have the ability to accurately perceive the surrounding environment, and use a variety of sensors and artificial intelligence technologies to establish a Marine mobile target detection system to ensure their safe operation at sea. Multi-feature fusion technology for detection has a much higher accuracy than the general neural network, and has a great improvement compared with the traditional neural network methods. Finally, multiple moving objects in the ocean are identified, and the results show that the proposed algorithm is a stable and effective method.Therefore, this algorithm is worth popularizing in the future.
2022,44(24): 145-148 收稿日期：2022-07-15
DOI：10.3404/j.issn.1672-7649.2022.24.030
分类号：U667.65
作者简介：刘翠焕(1975-),女,副教授,研究方向为软件工程及算法设计等
参考文献：
[1] 王梁, 侯义锋, 贺杰. 基于Mask-RCNN的自然场景下油茶果目标识别与检测[J]. 中国农机化学报, 2022, 43(12):148-15+189
[2] 康志强, 张思乾, 封斯嘉, 等. 稀疏先验引导CNN学习的SAR图像目标识别方法[J/OL]. 信号处理, 2022:1-15.
KANG Zhi-qiang, ZHANG Si-qian, FENG Si-jia, et al. SAR Image Target Recognition Method Based on Sparse Prior Guided CNN Learning[J/OL]. Signal Processing:1-15.
[3] 陈瑾龙, 徐哲壮, 黄平, 等. 基于机器视觉的四足机器人目标识别与跟随系统设计[J]. 实验技术与管理, 2022, 39(10):135-139+167.
[4] 王宏伟, 杨力, 张方雨. 基于神经网络的电磁感应探雷目标识别方法[J]. 探测与控制学报, 2022, 44(5):90-96
WANG Hong-wei, YANG Li, ZHANG Fang-yu. Target recognition method for electromagnetic induction mine detection based on neural network[J]. Journal of Detection and Control, 2022, 44(5):90-96
[5] 李建江, 陈玮, 李明, 等. 基于网格热度值的船舶规律路径提取算法[J]. 计算机研究与发展, 2018, 055(005):908-919
[6] 朱岱寅, 耿哲, 俞翔, 等. 地面目标多角度SAR数据集构建与目标识别方法[J]. 南京航空航天大学学报, 2022, 54(5):985-994
ZHU Dai-yin, GENG Zhe, YU Xiang, HAN Sheng-liang, YANG Wei-xing, LV Ji-ming, YE Zheng, YAN He. Ground target multi-angle SAR data set construction and target recognition method[J]. Journal of Nanjing University of Aeronautics and Astronautics, 2022, 54(5):985-994
