强背景下模糊闪烁成像目标探测与跟踪
Blur and flickering imaging target detection and tracking against bright background
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摘要: 强背景下空中运动目标主要表现为边缘残缺、模糊,甚至出现闪烁、间断等复杂成像特性,这成为制约目标探测和成像跟踪的瓶颈问题。结合跟踪过程反馈信息来确定目标点扩展函数,利用一种新的Ben-Ezra图像复原模型,解决了目标运动模糊的图像复原问题;采用基于特征伴随值的相似性判断方法,构造联结机制的联想网络模型,来解决目标闪烁和残缺特征的联想问题。对提出的方法进行了图像序列的仿真,取得了较好的实验结果。Abstract: Aerial target under day-time condition shows complex imaging characteristics, like misshapen and blur edges, even flickering and inconsecutive imaging, which become a bottleneck of detecting and tracking targets in tracking system. Point spread functio (PSF) is determined combining with the feed information of tracking process and use a new model of image restoration proposed by Ben-Ezra is used to deblur the motion target. Association networks model with linking mechanism is constructed with similarity based on accompanying values of the target features of flickering image and losing of target. Simulations are conducted using the proposed method for image sequences, which obtain the good results.
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