基于Autonomy的国土资源档案知识挖掘与应用平台研究

本文在分析大数据背景下国土资源信息化面临的挑战及国土资源档案数据现状的基础上,提出基于Autonomy知识与服务架构,重点阐述架构的三个组成部分：数据采集平台、本体构建与分析平台、数据处理平台,介绍了基于Autonomy Idol的应用功能设计实例。探讨海量国土资源档案数据管理与应用的新方式,为国土资源数据档案的管理提供大数据支持的理论基础。     

浅谈国土行业软件开发中项目管理制度的建立

随着信息技术的发展和信息化程度的不断提高,国土行业的软件开发活动越来越多。本文在综合考虑本行业软件开发中面临问题的基础上,融合项目管理的理论成果,积极探索在国土行业的软件开发中建立项目管理制度,从人员、流程、合同、质量和文档等方面对项目管理制度进行描述,并详细论述了项目管理制度的重要性,希望能为国土行业软件开发提供积极的启示和有益的借鉴。     

数字高程模型对DOM的精度影响

DOM的数字微分纠正通常要用到DEM来实现地形的纠正,DEM的精度会在多大程度上影响DOM的纠正精度,是很多技术人员所关心的问题之一.本文通过详实的论证得出了一些结论,为航空摄影各项技术指标的确定、合理有效地选取DEM数据源等问题作了科学的回答.     

关于测量标志保护与管理的思考

针对测量标志出现大量毁坏的原因,联系当前测量标志新形势的要求,提出了现阶段测量标志维护与管理的想法和建议.     

镶嵌图像上拼接缝的消除方法

分析了基于小波变换的拼接缝消除方法的不足,提出了拼接缝消除的强制改正方法,并用实际图像进行了试验。结果表明文中提出的方法具有较好的拼接缝消除效果,算法简单,易于实现,可以处理彩色和黑白等多种图像。     

Rank-Defect Adjustment Model for Survey-Line Systematic Errors in Marine Survey Net

In this paper,the structure of systematic and random errors in marine survey net are discussed in detail and the adjustment method for observations of marine survey net is studied,in which the rank-defect haracteristic is discovered first up to now.On the basis of the survey-line systematic error model,the formulae of the rank-defect adjustment model are deduced according to modern adjustment theory.An examle of calculations with really observed data is carried out to demonstrate the efficiency of this adjustment model.Moreover,it is proved that the semi-systematic error correction method used at present in marine gravimetry in China is a special case of the adjustment model presented in this paper.     

GPS RTK测量技术的应用与体会

GPS RTK测量技术以快捷、精准的特点广泛地被测量人员所接受，但是在到量中仍存在一些问题需要研究。本文介绍了几种经常遇到的棘手问题及其解决方法。     

Multipath mitigation via component analysis methods for GPS dynamic deformation monitoring

Multipath is one of the main error sources in high-precision global positioning system (GPS) dynamic deformation monitoring, as it is difficult to be mitigated by differencing between observations. In addition, since a specific frequency threshold value between multipath and deformation signals may not exist, multipath is usually inseparable from the low-frequency vibration signal using conventional frequency-domain filter methods. However, the multipath repeats in two sidereal days when the surroundings of a GPS antenna remain unchanged. This characteristic can be exploited to model and thus mitigate multipath effectively in dynamic deformation monitoring. Unfortunately, a major issue is that the degree of repeatability decreases as the interval between first day and subsequent days increases. To overcome this problem, we develop a new sidereal filtering referred to as reference EMD-ICA (EMD-ICA-R), where empirical mode decomposition (EMD) and independent component analysis (ICA) are jointly used to model multipath and renew the reference multipath. For the successful implementation of the EMD-ICA-R, an a priori denoised multipath signal is needed as a reference. We further propose to use the principal component analysis (PCA) method to extract more accurate reference multipath signal and form a combined PCA-EMD-ICA-R approach. Simulation experiments with a motion simulation platform were conducted, and the testing results indicate that the proposed methods can mitigate the multipath by around 67 % when a reliable reference multipath signal is extracted from a static situation. Furthermore, simulation experiments with different deformation signals added into the coordinate time series of three consecutive days show that the two proposed methods are also effective in a dynamic situation. Since wavelet filtering is used to denoise the reference multipath signals in the new approaches, simulation experiments with several wavelet filters are tested, and the results indicate that the PCA-EMD-ICA-R approach can work well with various wavelet filters.     

Overlapped rectangle image representation and its application to exact legendre moments computation

Linear quadtree is a popular image representation method due to its convenient imaging procedure. However, the excessive emphasis on the symmetry of segmentation, i.e. dividing repeatedly a square into four equal sub-squares, makes linear quadtree not an optimal representation. In this paper, a no-loss image representation, referred to as Overlapped Rectangle Image Representation (ORIR), is presented to support fast image operations such as Legendre moments computation. The ORIR doesn’t importune the symmetry of segmentation, and it is capable of representing, by using an identical rectangle, the information of the pixels which are not even adjacent to each other in the sense of 4-neighbor and 8-neighbor. Hence, compared with the linear quadtree, the ORIR significantly reduces the number of rectangles required to represent an image. Based on the ORIR, an algorithm for exact Legendre moments computation is presented. The theoretical analysis and the experimental results show that the ORIR-based algorithm for exact Legendre moments computation is faster than the conventional exact algorithms.     

Data fusion technique for multibeam echosoundings

On the basis of an analysis of the error sources in multibeam echosounding system, a data processing method for compensating systematic errors in multibeam survey is proposed. In order to improve the accuracy of overall swath, a data fusion technique using single beam survey data as control information for single beam and multibeam echosounding is then presented. Some questions involved in solving the adjustment problem, such as its feasibility and the numerical stability, are discussed in detail, and a two-step adjustment method is suggested. Finally, a practical survey data set is used as a case study to prove the efficiency and reliability of the proposed methods.