【作者】 吴洁；

【导师】 张建奇；

【作者基本信息】 西安电子科技大学 ， 物理电子学， 2011， 硕士

【摘要】 光电成像技术的发展,在大大提高光电成像系统分辨率和灵敏度的同时,使得背景杂波逐渐成为影响光电成像系统目标获取性能的主要因素之一。合理准确地量化背景杂波效应,对建立符合光电成像系统外场性能的目标获取性能表征模型有重要的意义。本文在研究背景杂波的物理实质、基本概念的基础上,通过分析人眼视觉在目标搜索过程中的特性,结合稀疏表示的理论,研究了一种新的背景杂波量化尺度——基于稀疏表示的杂波量化尺度;进而,以Search₂图像数据库为依托,借助相关性分析和误差分析的理论,对所这一新的杂波尺度进行了验证;并在此基础上,对压缩感知理论进行了初步探索,尝试性地建立了一种基于压缩感知的背景杂波量化尺度,并用Search₂图像数据库进行了验证。本文研究的背景杂波量化尺度以背景特征和目标特征为依据,模拟了人眼视觉探测目标时在特征提取阶段和联合搜索阶段的特性,符合背景杂波的物理意义,预测结果与主观实验的一致性进一步反映了本文所研究的杂波尺度的合理性。更多还原

【Abstract】 With the development of electro-optical imaging technology, background clutter has become an important factor affecting target acquisition performance of imaging system. It is becoming more and more important to measure the affection of clutter accurately for building a perfect target acquisition performance model.Based on the analysis of the definition and the physical essence of clutter, its development and the target-searching characteristic of human vision, a novel clutter metric called Sparse-Representation-Based clutter metric is proposed by combining theory of sparse representation with the perception of human vision in target detection. With the use of the relevance analysis and the error analysis, the Search₂ database is used to explain the feasibility of the SRC metric. What’s more, compressed sensing theory is studied followed by the primary proposition of another novel clutter metric called Compressed-Sensing-Based clutter metric.The clutter metrics proposed in this paper can simulate the characteristic of the process of feature extraction and target researching of human vision reasonably. Besides, they are based on the characteristic of the background and the target, so they can match up to the physical significance of the clutter. Further more, the experience results show that their prediction results correlate well with the detection probability obtained by subjective experiments for human visual systems.更多还原