舰船尾迹多维信息抗干扰智能搜索方法研究

Research on intelligent search method for anti-jamming of multidimensional information of seabed wake

传统舰船尾迹搜索方法在多维信息处理上,由于算法计算因素单一,无法对多维信息内无效数据做准确筛选运算,导致舰船尾迹图像搜索运算受到无效数据干扰源影响,出现搜索映射率低、误差大的问题。针对此问题,提出舰船尾迹多维信息抗干扰智能搜索方法研究。首先,通过对多维信息内舰船尾迹图像进行锁定。其次,引入多尺度特征融合算法对尾迹图像内干扰源进行滤除处理,接着,引入空间特征匹配算法对处理后的尾迹图像做搜索特征匹配计算,完成智能搜索过程。最后,通过对比实验证明,提出的舰船尾迹多维信息抗干扰智能搜索方法,能够有效解决传统搜索方法存在的映射率低、误差大的问题。

The traditional ship wake search method in multi-dimensional information processing,due to the single calculation factors,can not accurately screen invalid data in multi-dimensional information,resulting in the ship wake image search operation affected by invalid data interference sources,resulting in low search mapping rate and large error.Aiming at this problem,an intelligent anti-jamming search method for multi-dimensional information of ship wake is proposed.Firstly,the ship wake image in multi-dimensional information is locked.Secondly,the multi-scale feature fusion algorithm is introduced to filter the interference sources in the wake image.Then,the spatial feature matching algorithm is introduced to calculate the search feature matching of the processed wake image,and the intelligent search process is completed.Finally,the contrast experiment proves that the proposed multi-dimensional information anti-jamming intelligent search method for ship wake can effectively solve the problems of low mapping rate and large error existing in traditional search methods.