天文斑点成像技术中的噪声影响分析

为进一步说明天文像复原新方法-迭代位移叠加法的性质，对探测器的附加噪声在斑点干涉术、斑点掩模法和迭代位移叠加法中的影响分别进行了分析。结果表明：在斑点掩模法中，复杂的噪声高阶矩统计被引入了重谱的噪声偏差，因此对噪声极为敏感，使数据处理更加复杂化；与斑点掩模法相比，迭代位移叠加法仅涉及对噪声的一阶矩统计平均，所以此新方法的特点是对噪声不敏感，具有图像复原处理过程简单快捷的优越性。     

一种新型彩色三维光学成像系统

提出一种新型三维彩色光学数字成像系统。此系统利用投影结构光对现实世界中的物体进行数字化，同时得到对应的彩色纹理。详细介绍了系统的硬件设计和软件体系结构设计，得到物体彩色纹理的两种不同方法；直接获取和从编码条纹中提取，给出了用该系统得到的实验结果并简单评价了系统的性能。此系统在反求工程、影视制作、三维游戏制作、医学应用等方面有远大的应用前景。     

空间望远镜主镜的热光学特性分析

主镜是空间望远镜光学系统的重要组成元件,其热光学特性将为光学系统的热控设计提供依据。利用建立在集成分析基础上的热光学分析方法,分析了某空间望远镜主镜在三种不同的温度分布形式,即在径向温度、轴向温度、周向温度梯度的作用下对光学系统成像质量的影响,结合设计的要求,根据计算结果给出了许用温度梯度的范围。     

红外技术进步刺激军事需求增长

随着制造技术的进步，大量新一代红外成像设备不断投入战场使用。由于采用的材料更轻以及光学元件的改进，使传统的笨重系统被淘汰，提高了单兵武器和手持设备的性能。第二代前视红外（FLIR）传感器的分辨率更高，可以穿透沙尘，据陆军负责夜视、侦察、监视和目标捕获的项目主管透露，目前已经有一半的“阿布拉姆斯”坦克和“布雷德利”战车装备了这种传感器。     

大口径宽视场双波段扫描红外相机光学设计

通过分析计算,设计了一种大口径宽视场折射式红外相机光学系统。该系统设计用于超长线阵扫描红外相机的地面演示成像,它能同时对短波2μm—3μm、中波3μm—4.5μm双波段成像,且同时具有24°的大视场和150mm的宽口径,成像质量接近衍射极限。该系统在航天遥感领域应用广泛。     

校正空间分块镜复位误差所需的最少自由度的确定

可收展式分块镜共相位成像技术是实现光学系统超大口径、超高分辨率成像的关键技术。分块镜复位误差会引起各子镜之间的共相位误差和整个拼接镜面的面形误差。合理确定校正分块镜复位误差所需的自由度具有非常重要的意义。计算机仿真分析了分块镜的复位误差对拼接镜面面形误差的影响。结果表明,所需的校正自由度的个数不仅与展开机构的复位精度有关,而且与分块镜镜面的几何参数有关。     

Ultrasound imaging and evaluation of lesion induced by High Intensity Focused Ultrasound

The present study was to investigate the differential imaging method for detecting HIFU (High Intensity Focused Ultrasound)-induced lesions and the estimation of variation of attenuation for lesion evaluation with log spectral difference algorithm. Experiment results of bovine muscle and liver in vitro were acquired. Several algorithms for lesion detection - Absolute Difference (AD), Sum Absolute Differences (SAD) and Sum Squared Differences (SSD) - were analyzed with several window sizes and threshold values. Then three attenuation parameters were compared to evaluate the degree of tissue damage. It was found that variation of the mean attenuation △α was an effective parameter to evaluate lesions.     

Speech emotion recognition based on statistical pitch model

A modified Parzen-window method, which keep high resolution in low frequencies and keep smoothness in high frequencies, is proposed to obtain statistical model. Then, a gender classification method utilizing the statistical model is proposed, which have a 98% accuracy of gender classification while long sentence is dealt with. By separation the male voice and female voice, the mean and standard deviation of speech training samples with different emotion are used to create the corresponding emotion models. Then the Bhattacharyya distance between the test sample and statistical models of pitch, are utilized for emotion recognition in speech. The normalization of pitch for the male voice and female voice are also considered, in order to illustrate them into a uniform space. Finally, the speech emotion recognition experiment based on K Nearest Neighbor shows that, the correct rate of 81% is achieved, where it is only 73.85% if the traditional parameters are utilized.     

基于ROI编码的干涉超光谱图像近无损压缩

针对干涉超光谱成像仪所成图像的特点，提出了一种基于ROI（Region of Interest，感兴趣区域）编码的干涉超光谱图像序列压缩方法.利用帧内差值变换，结合矩形ROI编码，在提高遥感图像压缩比的同时，使压缩后的重建图像质量达到近无损的技术要求.实验结果表明，这种压缩方法在干涉超光谱图像压缩中当相对光谱二次误差为2.04％时，干涉图像的压缩比达到9.66∶1.