基于地面图像和卫星图像集成的火星车定位新方法

提出了一种基于地面图像和卫星图像集成的火星车定位新方法,该方法利用由导航相机立体图像得到的火星表面的点云数据提取石块,同时对高分辨率卫星图像局部灰度统计提取石块,通过地面和卫星图像中石块分布模式的匹配,实现火星车在卫星图像中的定位,从而消除仅利用地面传感器和影像定位产生的累计误差。采用NASA勇气号火星车在多个摄站获取的地面图像以及HiRISE卫星图像进行了实验验证,结果表明这种方法在石块较多的地区能够取得很好的自动定位结果,定位误差小于HiRISE卫星图像的一个像素（0．25m）。     

基于双投影策略的红外图像配准方法

图像配准是红外图像处理技术的前提,广泛应用于成像制导、光电侦查及工业实时监控等领域。考虑红外图像的实时配准需求,利用对数极坐标图像的尺度、转不变特性,将配准过程从直角坐标空间引入到对数极坐标空间,提出了基于双投影策略的配准算法,将二维空间的配准参数估计转换成两个一雏曲线的空间距离估计。此算法在保证尺度变化及旋转的匹配精度条件下,轴向投影统计大大降低匹配计算量。     

基于真实场景的SAR回波模拟方法研究

SAR原始回波模拟在系统设计及成像算法验证等方面具有重要的理论及工程实践意义。文中在分析并建立合成孔径雷达回波信号数学模型的基础上,研究一种基于真实场景的SAR回波模拟方法。该方法利用SAR真实场景图像的灰度信息近似求得场景后向散射系数,根据雷达脉冲工作流程生成回波数据,具有实现简单、计算量小、回波模拟结果精确等优点。通过点目标、面目标和真实场景回波的仿真实验,从回波数据的统计特性以及图像级角度验证了其可行性。     

Measurements of the radiation quality factor Q at aviation altitudes during solar minimum (2006–2008)

In radiation protection, the Q-factor has been defined to describe the biological effectiveness of the energy deposition or absorbed dose to humans in the mixed radiation fields at aviation altitudes. This particular radiation field is generated by the interactions of primary cosmic particles with the atoms of the constituents of the Earth’s atmosphere. Thus the intensity, characterized by the ambient dose equivalent rate H∗(10), depends on the flight altitude and the energy spectra of the particles, mainly protons and alpha particles, impinging on the atmosphere. These charged cosmic projectiles are deflected both by the interplanetary and the Earth’s magnetic field such that the corresponding energy spectra are modulated by these fields. The solar minimum is a time period of particular interest since the interplanetary magnetic field is weakest within the 11-year solar cycle and the dose rates at aviation altitudes reach their maximum due to the reduced shielding of galactic cosmic radiation. For this reason, the German Aerospace Center (DLR) performed repeated dosimetric on-board measurements in cooperation with several German airlines during the past solar minimum from March 2006 to August 2008. The Q-factors measured with a TEPC range from 1.98 at the equator to 2.60 in the polar region.     

高职生就业心理问题分析及调适对策

高职生就业时存在着焦虑、不满、自卑、从众、攀比、盲目等心理问题,其成因是对自我和对环境认知度较低。要消除高职生就业时的心理问题必须从学校教育着眼,加强对学生的职业心理品质培养和职业生涯规划教育是解决高职毕业生心理问题的有效方法。     

英美文学教学中人文素养的渗透

在英美文学教学中,教师要着力于开发文学作品中的人文因素,结合中国的文化主流价值观,有目的地影响、培养、提高学生的人文素养。     

粒子拖尾长度对高频DPIV测量误差的影响

基于连续激光源的高采样频率DPIV系统在进行曝光时可能会产生粒子拖尾现象。明渠湍流试验和数值模拟试验结果显示，粒子拖尾长度的增加会导致平均流速减小和湍流强度增大。分析表明，导致平均流速误差的原因之一是诊断窗口边缘局部粒子图像的缺失，且图像缺失程度会随着粒子拖尾长度增加而增大，从而使平均速度随粒子拖尾长度增加而减小；粒子拖尾的另一个直接后果是增大了粒子图像的有效粒径，从而导致湍流强度增大。通过增大第二个诊断窗口的尺寸，进行相关函数标准化和相关系数补偿等方法，可以消除粒子拖尾长度引起的误差。     

使用Trimble Geomatics Office等商业随机软件应注意的几个问题

通过对Trimble Geomatics Office等随机软件的实际应用,提出一些数据质量控制措施.根据随机软件网平差功能的特点,通过对所有基线网和独立基线网的对比分析,得出选择独立基线网平差更合理、测量结果更可靠的结论.     

基于形象定位分析的西安与成都旅游形象多元化对比研究

以实地调研的问卷统计结果为基础,通过对西安市与成都市的旅游发展状况的简要分析,结合旅游形象定位的理论,对西安与成都的旅游形象多元化定位进行探索性研究,总结了西安与成都旅游形象推陈出新的必要性及可能途径,同时对西安与成都的旅游品牌形象的构建提出可行性构想。     

Ground-Based Cloud Using Exponential Entropy/Exponential Gray Entropy and UPSO

Objective and accurate classification model or method of cloud image is a prerequisite for accurate weather monitoring and forecast. Thus safety of aircraft taking off and landing and air flight can be guaranteed. Thresholding is a kind of simple and effective method of cloud classification. It can realize automated ground-based cloud detection and cloudage observation. The existing segmentation methods based on fixed threshold and single threshold cannot achieve good segmentation effect. Thus it is difficult to obtain the accurate result of cloud detection and cloudage observation. In view of the above-mentioned problems, multi-thresholding methods of ground-based cloud based on exponential entropy/exponential gray entropy and uniform searching particle swarm optimization （UPSO） are proposed. Exponential entropy and exponential gray entropy make up for the defects of undefined value and zero value in Shannon entropy. In addition, exponential gray entropy reflects the relative uniformity of gray levels within the cloud cluster and background cluster. Cloud regions and background regions of different gray level ranges can be distinguished more precisely using the multi-thresholding strategy. In order to reduce computational complexity of original exhaustive algorithm for multi-threshold selection, the UPSO algorithm is adopted. It can find the optimal thresholds quickly and accurately. As a result, the real-time processing of segmentation of groundbased cloud image can be realized. The experimental results show that, in comparison with the existing groundbased cloud image segmentation methods and multi-thresholding method based on maximum Shannon entropy, the proposed methods can extract the boundary shape, textures and details feature of cloud more clearly. Therefore, the accuracies of cloudage detection and morphology classification for ground-based cloud are both improved.