摘要
针对受海洋环境、干扰等影响而导致历程图上弱目标不明显,进而使目标检测能力降低的问题,提出一种新图像检测算子与一维直方图分段均衡联合处理(NIDO-ODSHE)的弱目标轨迹增强方法。首先利用新图像检测算子对波束输出数据中的历程图进行滑窗检测,接着对检测后的数据进行子自适应分段直方图均衡增强处理,最终得到新的历程图。采用NIDO-ODSHE方法处理后的历程图能获得较大处理增益,历程图更清晰,弱目标轨迹显著增强,而且处理过程中无需设置参数、计算量小。通过对被动声纳历程图的仿真和试验数据分析表明:NIDO-ODSHE方法可以增强历程图弱目标,提高弱目标人工/自动检测能力;与直方图均衡(HE)处理方法相比,NIDO-ODSHE方法可使图像均方误差提高12%以上,图像清晰度提高6%以上。
A method which combines a new image detection operator with one dimensional subsection histogram equalization(NIDO-ODSHE)is proposed to deal with the problem that the target cannot be better detected on the time recording due to the influence of environmental noise,disturbance and so on.Firstly,slide detections of a target trajectory is carried out based on beam data using the new image detection operator.Then the detected data are processed by the adaptive subsection histogram equalization,and the new time recording is finally obtained.After such a treatment,the processed image gets better gain,the image clarity is obviously improved,and the weak target trajectory is significantly enhanced.Moreover,the NIDO-ODSHE method does not need parameter setting and the computational amount is small.Simulation and experimental results on a time recording of passive sonar and comparisons with the histogram equalization show that the NIDO-ODSHE method can enhance the weak target on a time recording and improve the artificial/automatic detection ability of weak targets,the proposed method obviously improves the image,and increases the mean squared error ratio and the image clarity more than 12% and 6%,respectively.
出处
《西安交通大学学报》
EI
CAS
CSCD
北大核心
2018年第2期76-81,117,共7页
Journal of Xi'an Jiaotong University
基金
国家自然科学基金资助项目(11504335)
关键词
历程图
图像检测算子
图像清晰度
弱目标轨迹
time recording
image detection operator
image clarity
weak target trajectory
