随着军事技术的不断进步，海上舰艇的监视和跟踪已成为关注的问题。传统的声呐监测技术主要是在水下或水面舰艇上安装声呐设备探测水下声波，采用声衰减技术，但是由于水下声呐设备对于信号的收集并不十分精确，因而难以进行监测。而水面上的船舶和水下的潜艇会在水面上产生水波，造成干扰。目前，各国使用激光、红外、卫星和其他技术进行水下搜索。本文对船舶尾部图像的数字处理技术进行详细分析，重点研究船舶尾部图像处理中的数字处理，并采用了相应的特征描述技术。
With the continuous advancement of military technology, the monitoring and tracking of ships at sea has become the central issue of various countries. The traditional sonar monitoring technology is mainly to install sonar equipment on underwater or surface ships to detect underwater sound waves. At present, the submarines of many countries in the world use sound attenuation technology. Monitoring is difficult because underwater sonar devices have difficulty collecting signals. However, boats on the surface and submarines underwater create water waves on the surface with consequences. Currently, countries use lasers, infrared, satellites and other technologies to conduct underwater searches. In this paper, the digital processing technology of ship stern image is studied in detail, focusing on the digital processing in ship stern image processing, and the corresponding feature description technology is adopted.
2022,44(20): 157-160 收稿日期：2022-05-03
DOI：10.3404/j.issn.1672-7649.2022.20.032
分类号：U666.7
作者简介：许颖(1978-)，女，硕士，讲师，研究方向为计算机图像处理技术
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