三线阵立体测绘相机构像及误差模型的建立

为了满足立体测绘系统的定位精度要求,在三线阵立体测绘相机研制基础上,通过建立三线阵立体测绘相机实用构像模型,确立被探测地面点在地面坐标系中的坐标与其像点在CCD坐标系中的坐标以及在统一的像平面坐标系中的坐标之间的数学关系式;并在此基础上,推导了三线阵立体测绘实用误差模型,分析影响系统定位精度的主要误差源,并根据相机参数进行综合定位精度分析,结果表明该系统可达到无控定位精度50m的精度要求,同时验证了构像模型及误差模型的正确性。

光学与SAR卫星遥感影像复合式“立体”定位技术的研究

针对某些特殊区域因气候或污染造成立体成像测图的困难,尝试将光学与SAR卫星遥感影像联立构成"立体像对"进行复合式定位,并对其原理与方法进行研究与试验。以线阵CCD构像模型及F.Leberl公式为基础,利用若干地面控制点对线阵CCD影像和SAR影像分别进行外定向,再依据外定向参数将两种影像构成一"立体像对",从而建立复合式立体定位的数学模型,在已知一组同名像点的情况下,即可解算出相应地面点的大地坐标。初步试验表明,将具有一定重叠范围的多源卫星遥感影像构成"立体像对"进行复合式定位是可行的,且复合式立体定位可取得接近于传统立体像对的定位精度。

机载SAR图像快速经纬度计算及精度分析

从机载合成孔径雷达(SAR)距离-多普勒原理出发研究目标定位问题,文中采用多项式拟和平台位置,修正了零多普勒条件方程,建立了适合机载SAR的构像模型和坐标系变换关系,提出了一种实时无参考点定位情况下的雷达图像经纬度计算方法,并对影响定位精度的参数包括平台测量误差、多普勒中心估计误差和载机高度误差进行定量分析,实验结果表明该方法能有效地校正SAR图像存在的几何变形,定位误差精度与理论分析基本一致。

基于DEM的SAR图像模拟

首先阐述了研究基于数字高程模型(DEM)的SAR图像模拟的重要性。然后针对SAR图像的几何特点,并顾及地面坡度、成像距离等因素对雷达波后向散射强度的影响,设计了基于强度积分的SAR图像模拟方案。根据Leberl构像模型计算SAR图像的像点坐标,采用强度积分策略对各点处的强度进行模拟,并进行归一化处理。通过仿真实验得到了满意的SAR模拟图像,验证了该模拟方案的正确性和有效性。

雷达影像几何构像距离-共面方程

几何构像方程是遥感影像摄影测量最基本最重要的公式,简洁性和严密性是其能得到广泛应用的必要条件。本文分析了姿态对侧视雷达影像成像的影响,以传感器位置和姿态(外方位元素)作为定向参数,根据侧视雷达成像的距离和波束中心共面(Range-Coplanarity,R-Cp)条件构建了一种简洁严密的几何构像方程。该方程考虑了姿态参数对雷达影像严密定位的影响,反映了侧视雷达遥感影像的成像几何原理,避开了复杂的成像参数,实现了雷达影像与光学影像严密构像模型定向参数的统一。定位试验精度优于LeberlF模型和KonecnyG模型。该方程的特点表明其在侧视雷达遥感影像的摄影测量领域中有着一定的应用潜力。

Concealed fault analysis based on the CT projection matrix

This paper proposes the concept of projection curves based on the theory of CT image reconstruction to probe the internal structure of the working panel prior to formal mining of the working panel.As well as reducing costs,this method provides safe and efficient excavation of the working panel.According to the results of the numerical model and the actual working panel,the new method has been proven to be accurate in detecting the location of the fault that extends into the face.Concealed faults of the internal working panel,as well as the start and end points of the fault,can be detected by this method.Engineering practice has proven that the method is highly reliable,has a highly decisive impact on faults for coal mining,and can be used to guide the safe mining of the working panel.

Vehicle detection algorithm based on codebook and local binary patterns algorithms

Detecting the moving vehicles in jittering traffic scenes is a very difficult problem because of the complex environment.Only by the color features of the pixel or only by the texture features of image cannot establish a suitable background model for the moving vehicles. In order to solve this problem, the Gaussian pyramid layered algorithm is proposed, combining with the advantages of the Codebook algorithm and the Local binary patterns(LBP) algorithm. Firstly, the image pyramid is established to eliminate the noises generated by the camera shake. Then, codebook model and LBP model are constructed on the low-resolution level and the high-resolution level of Gaussian pyramid, respectively. At last, the final test results are obtained through a set of operations according to the spatial relations of pixels. The experimental results show that this algorithm can not only eliminate the noises effectively, but also save the calculating time with high detection sensitivity and high detection accuracy.

Research on the Cultural Inheritance and Vision Interactive and the Applications on Contemporary Art Design

In this paper, we conduct research on the cultural inheritance and vision interactive and the applications on the contemporary art design. In the interaction design, establishment of metaphor interactive model is relates the key of user image model and designer image model is, through finding in two models product altogether has the characteristics, and reveals with the design language the characteristics, communicates with the user, thus enables the user to understand and grasp product the structure, function, usage-style and other information of rapidly. The inheritance rise of culture to some altitude, with the life or death strong and weak dependence department of the nationality and French structuralism anthropology believes that the behavior and standard of humanity are, the origins and development processes of various cultures by the deep structure of culture is decided has its similarity. Under this basis, this paper proposes the new combination model for later integration that will promote the development of the contemporary art design.

A New Fast Edge Detection Algorithm Based on NAM-structured Plane Decomposition

The nonsymmetry and antipacking pattern representation model （NAM）, inspired by the concept of the packing problem, uses a set of subpatterns to represent an original pattern. The NAM is a promising method for image representation because of its ability to focus on the interesting subsets of an image. In this paper, we develop a new method for gray-scale image representation based on NAM, called NAM-structured plane decomposition （NAMPD）, in which each subpattern is associated with a rectangular region in the image. The luminance function of pixels in this region is approximated by an oblique plane model. Then, we propose a new and fast edge detection algorithm based on NAMPD. The theoretical analyses and experimental results presented in this paper show that the edge detection algorithm using NAMPD performs faster than the classical ones because it permits the execution of operations on subpatterns instead of pixels.