摘要
随着我国海洋贸易的快速增长,各种用途的船舶航行在广阔的海洋上,船舶的分工用途也越来越复杂,在船舶的航行安全领域,往往需要人工对水面的船只进行不间断的监测,这大大增加了航运成本。为了有效提高船舶的航行安全,改善航道的使用效率,本文提出了基于背景纹理检测的船只目标检测算法,通过传感器设备,计算机能够自动将背景和目标船只进行分离,然后结合噪声优化算法,有效提高了船只的检测效率。尤其在复杂的背景环境中,舰船目标的检测也变得更加容易。文末对该算法的保真度和杂散检测能力进行仿真,并通过分析仿真曲线,提出一些改进措施,以提高模型的检测效果。
With the rapid growth of marine trade in China, the ships of various uses sail on the vast ocean, and the division of labor of ships is becoming more and more complicated. In the field of ship navigation safety, it is often necessary to carry out uninterrupted water Of the monitoring, which greatly increased shipping costs. In order to improve the navigation safety of the ship and improve the efficiency of the channel, this paper proposes a vehicle target detection algorithm based on background texture detection. Through the sensor equipment, the computer can automatically separate the background and the target vessel, and then combine the noise optimization algorithm to improve The detection efficiency of the vessel. Especially in complex background environments, the detection of ship targets has become easier. At the end of this paper, the fidelity and spurious detection capability of the algorithm are simulated. By analyzing the simulation curve, some improvement measures are put forward to improve the detection effect of the model.
出处
《舰船科学技术》
北大核心
2017年第20期159-161,共3页
Ship Science and Technology
关键词
纹理
仿真
目标检测
texture
simulation
target detection
