从数字化测绘到信息化测绘的测绘学科新进展

测绘学科已完成由传统模拟测绘向数字化测绘的转变过程,现在正在向信息化测绘新阶段转化与跨越。本文综述了测绘学科及其下的五个子学科(大地测量学、摄影测量与遥感学、地图制图与地理信息工程学、工程测量学和海洋测绘学)在向信息化测绘跨越过程中的科学与技术的新进展。     

An Aggregate Constraint Method for Inequality-constrained Least Squares Problems

The inequality-constrained least squares (ICLS) problem can be solved by the simplex algorithm of quadratic programming. The ICLS problem may also be reformulated as a Bayesian problem and solved by using the Bayesian principle. This paper proposes using the aggregate constraint method of non-linear programming to solve the ICLS problem by converting many inequality constraints into one equality constraint, which is a basic augmented Lagrangean algorithm for deriving the solution to equality-constrained non-linear programming problems. Since the new approach finds the active constraints, we can derive the approximate algorithm-dependent statistical properties of the solution. As a result, some conclusions about the superiority of the estimator can be approximately made. Two simulated examples are given to show how to compute the approximate statistical properties and to show that the reasonable inequality constraints can improve the results of geodetic network with an ill-conditioned normal matrix.     

顾及空间非平稳特征的遥感干旱监测

遥感技术具备实时快速、时空连续、广覆盖尺度等独特优势,在全球气候恶化大背景下,利用遥感干旱监测方法相比于传统地面监测手段,能够提供实时、准确、稳定的旱情信息,辅助科学决策。目前常用遥感旱情监测方法大多依赖全域性数学模型建模,假定了旱情模式的空间平稳特性,因而难以准确反映旱情模式的局部差异特征。本文提出利用地理加权回归模型GWR (Geographically Weighted Regression),考虑旱情模式的空间非平稳特性,综合多种遥感地面旱情监测指数,以实现传统全域旱情监测模型的局部优化。以美国大陆为研究区,监测2002年—2011年共10年的旱情状态。研究表明,GWR模型能够提供空间变化的局部最佳估计模型参数,监测结果更加吻合标准美国旱情监测USDM (U.S Drought Monitor)验证数据,且与地面实测值的最高相关系数R达到0.8552,均方根误差RMSE达到0.972,显著优于其他遥感旱情监测模型。GWR模型具备空间非平稳探测优势,实现了旱情模式的局部精细探测,能够显著提升遥感旱情监测精度,具备较好的应用前景。     

Simulation of landscape spatial layout evolution in rural-urban fringe areas: a case study of Ganjingzi District

In recent years, the rapid expansion of urban spaces has accelerated the mutual evolution of landscape types. Analyzing and simulating spatio-temporal dynamic features of urban landscape can help to reveal its driving mechanisms and facilitate reasonable planning of urban land resources. The purpose of this study was to design a hybrid cellular automata model to simulate dynamic change in urban landscapes. The model consists of four parts: a geospatial partition, a Markov chain (MC), a multi-layer perceptron artificial neural network (MLP-ANN), and cellular automata (CA). This study employed multivariate land use data for the period 2000–2015 to conduct spatial clustering for the Ganjingzi District and to simulate landscape status evolution via a divisional composite cellular automaton model. During the period of 2000–2015, construction land and forest land areas in Ganjingzi District increased by 19.43% and 15.19%, respectively, whereas farmland, garden lands, and other land areas decreased by 43.42%, 52.14%, and 75.97%, respectively. Land use conversion potentials in different sub-regions show different characteristics in space. The overall land-change prediction accuracy for the subarea-composite model is 3% higher than that of the non-partitioned model, and misses are reduced by 3.1%. Therefore, by integrating geospatial zoning and the MLP-ANN hybrid method, the land type conversion rules of different zonings can be obtained, allowing for more effective simulations of future urban land use change. The hybrid cellular automata model developed here will provide a reference for urban planning and policy formulation.     

3D SLAM的室内背包移动测量系统研究

针对室内移动测图中GPS信号缺失,导致无法获取精确定位坐标与导航的问题,该文研发了一套室内背包式移动测量系统,该系统能够利用三维激光定位与测图的方法实现快速同步定位及地图创建和室内三维激光点云获取,可以应用在室内或地下的环境中进行数据采集,在不损失作业效率的前提下获取系统作业轨迹、高精度点云等多种数据结果。为了对系统的精度进行验证,使用该系统在实验室大楼走廊中进行实验获取室内三维激光点云,并将实验结果与采用常规测量手段得到的结果进行对比分析。实验表明,此系统的相对精度和绝对精度分别能够达到0.048和0.047m,在室内三维信息获取过程中相比较于传统作业方式显著提高了作业效率和数据质量,能够满足室内建模与测图要求。     

多尺度邻域特征下的机载LiDAR点云电力线分类

利用机载激光雷达技术三维测量精度高且获取快速的优点进行电力线自动分类提取已成为点云数据处理与电力应用的重要领域。针对电力线分类模型的自动化和高精度需求,本文提出了基于三维多尺度邻域特征的机载LiDAR点云电力线分类提取模型框架,主要包括4个步骤：电力线候选点滤波、多尺度邻域类型选取、形状结构特征提取和支持向量机分类。通过对2个复杂城市区域的试验数据集和8种不同邻域类型的详细结果对比分析,发现基于多尺度圆球邻域形状结构特征的分类模型结果准确率、召回率和质量分别达到97%、94%和93%,同时整体处理时间在2个试验数据中分别从366、256 s减少到274、160 s。试验结果表明,该方法在多种复杂城市场景中能够实现机载LiDAR数据的电力线较高精度分类提取。     

地面三维激光扫描地形测量数据粗差剔除算法及实现

本文基于地面三维激光扫描技术用于地形测量时点云数据的特点,得到引起结果存在粗差的障碍物上的点云具有坡度大于实际地形上坡度的特征,并据此提出了一种实用的粗差提取算法。对算法的原理、实现过程和其中重要参数的确定进行了分析,并编程实现了算法。最后,应用实例对粗差提取效果进行了检验,证明了算法的可行性和可靠性。     

Statistics of GPS ionospheric scintillation and irregularities over polar regions at solar minimum

A statistical study of the occurrence characteristic of GPS ionospheric scintillation and irregularity in the polar latitude is presented. These measurements were made at Ny-Alesund, Svalbard [78.9°N, 11.9°E; 75.8°N corrected geomagnetic latitude (CGMLat)] and Larsemann Hills, East Antarctica (69.4°S, 76.4°E; 74.6°S CGMLat) during 2007–2008. It is found that the GPS phase scintillation and irregularity activity mainly takes place in the months 10, 11 and 12 at Ny-Alesund, and in the months 5, 6 at Larsemann Hills. The seasonal pattern of phase scintillation with respect to the station indicates that the GPS phase scintillation occurrence is a local winter phenomenon, which shows consistent results with past studies of 250 MHz satellite beacon measurements. The occurrence rates of GPS amplitude scintillation at the two stations are below 1%. A comparison with the interplanetary magnetic field (IMF) B _y and B _z components shows that the phase scintillation occurrence level is higher during the period from later afternoon to sunset (16–19 h) at Ny-Alesund, and from sunset to pre-midnight (18–23 h) at Larsemann Hills for negative IMF components. The findings seem to indicate that the dependence of scintillation and irregularity occurrence on geomagnetic activity appears to be associated with the magnetic local time (MLT).     

全要素地形图作为背景在规划业务系统中的应用与实现

全要素地形图中的地理信息准确、规范、丰富,地形图比例尺与规划深度和出图比例相一致,而且精度能满足规划要求。打散入库后的全要素地形图和规划审批人员习惯的"蓝晒图"效果一致,且更新及时、方便,具有较强的现势性,在规划编制、规划审批等各个业务环节中起到了重要作用。本文详细阐述了全要素地形图的处理、转换、入库和更新过程,并对过程中应注意的问题提出了自己的意见和建议。     

分数布朗运动的小波分析

给出了分数布朗运动的连续和离散小波分析,讨论了有关的性质,并将结果用于分维估值、分数布朗运动小波变换系数的相关性研究等方面。