摘要
为定量研究光电场景杂波,提出了一种新的杂波尺度.首先建立目标结构特征空间,将背景矢量向之投影,通过衡量投影矢量的归一化长度评价背景与目标的相似度,实现对杂波的定量度量.与以往的杂波度量方法相比,该尺度通过强调空间分布特征,剥离灰度分布影响,有效抑制环境因素变化对杂波评估稳定性的影响,同时通过以目标作为参照物,降低对背景描述的要求,使对不同场景的杂波度量有很好的适应性.实验数据分析表明,该杂波尺度能较好地预测目标与背景在结构上的相似程度以及结构相似度随距离的变化关系.
A new clutter metric named CTSSM (Clutter Metric based on Target Structure Similarity Measure) is developed for electro-optical clutter estimation. With the target structure feature space established, the background image vectors are projected into that space. By measuring the normalized length of the projections, a quantitative estimation of the structure similarity between the background and the target is obtained. CTSSM has two advantages over those available. First, by emphasizing the spatial arrangement rather than the gray distribution of the pixels, the impact of environment variation on the stability of clutter evaluation is effectively bated. Second, with similarity measurement based on the target structure feature space and no restriction on the background constitution, CTSSM iS applicable for clutter evaluation of different kinds of scene. Experimental results show that CTSSM can estimate the structure similarity and predict the variation of similarity with distance well.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2009年第1期166-170,共5页
Journal of Xidian University
基金
国家自然科学基金资助(60777042)
关键词
结构相似度
杂波尺度
自动目标识别
structure similarity
clutter metric
automatic target recognition (ATR)