多传感器数据融合中的数据配准研究

数据配准是多传感器数据融合的先期处理过程。本文在研究了传统的最小二乘算法的基础上，提出了基于三维坐标系中的极大似然配准算法，解决了最小二乘配准算法对于传感器相距较远时无法解决的问题。最后通过计算机仿真证明了此算法的有效性。     

基于Chebyshev正交分解的曲线运动轨迹SAR的Chirp Scaling算法

针对具有三维速度和加速度的曲线运动轨迹合成孔径雷达（SAR），传统的斜距模型无法精确描述其运动特性，曲线历程增加了距离走动现象和方位向时间的高次项，使二维耦合现象更为复杂。本文提出了一种考虑载体平台三维速度和加速度的Chirp Scaling算法以解决曲线运动轨迹SAR成像问题。首先根据运动方程建立斜距表达式，然后对其进行Chebyshev近似，并构造其等效双曲方程形式的斜距模型，推导了具有空变性的距离徙动函数，Chirp Scaling因子以及适用于曲线轨迹的Chirp Scaling成像算法。仿真结果证实了此扩展的等效斜距模型和Chirp Scaling算法在大合成孔径时间下的有效性，并给出了三维加速度的边界值。     

View makes a difference: Presenting human figures from the back or front affects mental spatial transformations of children and adults

Previous research suggested that performance in spatial judgments involving rotated human figures is poorer if these figures are presented from the front than from the back. We further investigated this effect, controlling for visible facial information in front and back view by presenting figures' faces as profile. Children's and adults' judgments were still faster and less error prone if figures were presented from the back. Moreover, reaction times indicated that participants did not mentally rotate figures in front view. Children performed overall more poorly than adults, but there were also qualitative differences suggesting that children are more susceptible to embodiment effects than adults. This study underlines that embodiment may have differential effects in spatial transformation tasks, enhancing or impairing performance.     

空间回路网法在隐身结构电磁散射计算中的应用

随着计算机技术的发展,计算电磁学得到了极大地发展和运用。它可以通过数值计算得到描述宏观电磁场的Maxwell方程组的解,从而分析介质的电磁性能。本文介绍了空间回路网法（SNM）的基本原理和使用方法。并计算了8 GHz平面波条件下的正方形格栅结构的反射率,通过比较发现单元尺寸为半波长时,电磁波吸收性能强于1倍波长情况。     

基于电磁波三维结构向量的飞行器姿态估计

以电磁波三维空间结构向量为参照的飞行器姿态/航向测量研究，可弥补空间参照物缺乏，丰富空间飞行器姿态/航向测量工具。本文根据各缺损电磁矢量传感器姿态位置与接收信号之间的变化规律，建立飞行器载电磁矢量传感器阵列导向矢量。根据协同导航的多个信号空间谱和最大化，实现平台姿态/航向测量。飞行器多位置的多个传感器共同测量姿态可避免遮挡，获得更高姿态精度的同时拓展了系统的适用领域。接收电磁信息完备状态下，不需导航信号，测绘平稳的杂波就能作为姿态基准。仿真试验验证了姿态估计的有效性。     

基于空域滤波的二维全极化散射中心快速提取

在全极化逆合成孔径雷达(ISAR)体制下,二维相干极化几何绕射(CP-GTD)模型能够精确描述雷达目标高频电磁极化散射特性。针对CP-GTD模型,提出了一种基于空域滤波的二维全极化散射中心参数快速提取方法。该方法利用空域滤波将二维全极化散射中心参数提取问题分解为多个一维全极化散射中心提取问题,进而利用一维旋转不变技术(1D-ESPRIT)分步对全极化散射中心各维参数进行联合估计,最后利用最小二乘方法获得相干极化散射矩阵的估计。此外,采用这样的分步估计过程,可以实现二维参数的自动配对。复杂度分析和仿真实验表明:该方法不仅能够显著降低运算量,并且还能获得较好的估计精度,可以有效地用于目标全极化散射中心提取。     

Object-based representations of spatial images

Object based representations of image data enable new content-related functionalities while facilitating management of large image databases. Developing such representations for multi-date and multi-spectral images is one of the objectives of the second phase of the Alexandria Digital Library (ADL) project at UCSB. Image segmentation and image registration are two of the main issues that are to be addressed in creating localized image representations. We present in this paper some of the recent and current work by the ADL's image processing group on robust image segmentation, registration, and the use of image texture for content representation. Built upon these technologies are techniques for managing large repositories of data. A texture thesaurus assists in creating a semantic classification of image regions. An object-based representation is proposed to facilitate data storage, retrieval, analysis, and navigation.     

Navigational Aids and Spatial Memory Impairment: The Role of Divided Attention

Navigational aids impair spatial memory for experienced environments, but the cognitive mechanisms underlying impairment remain an open question. Recent evidence implicates divided attention, but to date no study has directly manipulated divided attention in navigational aid contexts. The present study addresses this need. Participants navigated virtual towns with aid presence and divided attention factorially crossed in a within-participants design. They then completed spatial memory assessments. Divided attention alone impaired spatial memory. Navigational aid presence impaired spatial memory when attention was undivided, replicating previous findings, but did not to a greater extent when attention was divided. These findings suggest that navigational aids divide attention sufficiently to impair spatial memory.     

Path visualization: a method for objective measurement of spatial visualization

ABSTRACT

The ability to mentally represent spatial information is a fundamental cognitive process. To many people, this process feels a bit like visual perception, hence the term ‘spatial visualization’. In this paper, we describe a method for measuring the accuracy of spatial visualization, specifically visualization of a complex path in imaginary space. A critical feature of this method (called Path Visualization) is that it relies on the detection of intersections in a visualized path. Intersection detection is an inherently spatial task that requires a spatial representation. In this paper, we show how the Path Visualization method works, and how it can be customized to address several key research issues in human spatial cognition.     

Variable Granularity in Route Directions

Abstract

This paper addresses changes of spatial granularity in route directions in relation to information needs in multimodal traveling. We outline a model of variability in granularity and apply this model to empirical data. Results reveal that linguistic route directions produced by humans as well as automatically generated web-based services provide the most crucial route elements in hierarchically structured ways that reflect the salient structure imposed by multimodal traveling. However, although the web-based information is impressively comprehensive, human route directions exhibit more flexibility regarding switches of place-related granularity, and they provide more detailed information at complex locations or decision points.