摘要
目前研究的故障船舶定位技术抗干扰能力差、定位故障船舶的位置时准确度较低、定位偏差较大。为解决上述问题,设计了基于图像分割的故障船舶定位技术。对故障船舶进行特征提取,提取故障船舶的图像以及数据信息,计算了故障船舶的位置,基于故障船舶的特征信息,实现故障数据定位,确定数据定位的流程。实验结果表明,基于图像分割的故障船舶定位技术优于传统定位技术,具有更高的抗干扰能力、稳定性和定位精度,产生的偏差更小,可以准确定位故障船舶的位置,应用价值更高。
The current research on the fault ship positioning technology has poor anti-interference ability,low accuracy and large positioning deviation when locating the fault ship position.In order to solve the above problems,a fault ship location technology based on image segmentation is designed.The fault ship feature extraction,extraction of the fault ship's image and data information,calculation of the position of the fault ship,based on the fault ship's characteristic information,to achieve the fault data positioning,determine the process of data positioning.Experimental results show that the fault ship positioning technology based on image segmentation is better than the traditional positioning technology,with higher anti-interference ability,stability and positioning accuracy,smaller deviation,can accurately locate the position of the fault ship,and higher application value.
作者
曾霞
廖干洲
黎鋆洪
ZENG Xia;LIAO Gan-zhou;LI Jun-hong(Guangzhou College of Applied Science and Technology,Guangzhou 511370,China;Guangzhou Yunxiang Data Technology Co.,Ltd.,Guangzhou 510000,China)
出处
《舰船科学技术》
北大核心
2021年第14期214-216,共3页
Ship Science and Technology
基金
广东省普通高校特色创新项目(自然科学)(2020KTSCX197)
广州大学松田学院科研规划项目(Gzdxstxy2020-13)
广州大学松田学院教学质量与教学改革工程项目(2018STZLGC01)
关键词
图像分割
故障船舶
定位技术
船舶定位
image segmentation
faulty ship
positioning technology
ship positioning
