一种状态区间取值修正的灰色-马尔科夫链预测模型研究

提出了一种对灰色-马尔科夫链预测模型的状态区间取值修正方法.考虑实测值在状态区间中的位置分布情况作为先验知识,对状态区间的端点重新定权,修正预测值在状态区间中的取值,从而获得更高精度的预测结果.结合某建筑物的实测沉降数据,与原始GM(1,1)、残差修正G M(1,1)、灰色-马尔科夫链预测模型进行对比,结果表明:本文预...     

无人机摄影测量与RTK在水运工程中应用研究

无人机摄影测量技术具有快速灵活、实时高效等特点,逐渐成为空间信息获取的重要技术手段。本文设计了实用的水运工程空间数据无人机作业流程,并将RTK辅助于无人机飞行过程提高数据获取精度,通过航摄影像快速处理提高其获取效率。通过在水运工程中的实验和应用,验证了该技术方法的可行性,为水运工程提供新的空间数据获取技术方法和手段。     

航空重力测量的空中数据处理与分析

针对航空重力测量的原始扰动数据,本文介绍了数据处理的一般流程,内容包括原始数据检查、零点漂移校正、平均高程面归算、交叉点搜寻、内符合精度评价、离散数据的格网化等方面,详细说明了每一步数据处理的理论模型,并通过工程实例对计算结果进行了讨论和分析,为今后开展大规模航空重力测量业务作出一定的尝试和探索.     

轻小型惯性稳定平台位置环协同通信控制方法

针对轻小型航空遥感系统对姿态大机动的快响应需求,设计了一种轻量型惯性稳定平台位置环协同通信与姿态超限快响应控制策略,将位置环反馈回路设计为两种可切换工作模式。伺服模式下,参考位置姿态系统的输出,通过设计二者协同通信,保证稳定平台对飞行姿态及扰动的实时隔离;编码器实时监测框架间相对角位置,超限位且载荷视轴与垂直方向误差较大时切换模式。超限快速回复模式下,以编码器值为位置环反馈量,使用大增益将平台由超限位置迅速调整到最大限定位置,并实时监测POS值,在载荷视轴位置误差较小时返回伺服模式。实验表明,该方法可靠、有效实现了稳定平台与位置传感器的高精度实时通信与控制。     

多媒体地理信息系统的网络结构分析

数据模型是GIS的灵魂和关键,为了使开发出的GIS尽可能准确地反映地理空间,能够较好地满足GIS用户各方面的需要,而网络拓扑对网络的构成也至关重要,本文分析和总结了早期和近期GIS几种数据模型的优缺点,并在此基础上提出了整体GIS数据模型及网络设计的几种常见模式.     

测绘情报工作发展战略思考

本文通过对“十五”期间测绘情报工作的回顾，分析了目前测绘情报研究存在的主要问题，讨论了今后测绘情报工作的发展对策。     

Mining Association Rules in Spatio-Temporal Data: An Analysis of Urban Socioeconomic and Land Cover Change

This research demonstrates the application of association rule mining to spatio‐temporal data. Association rule mining seeks to discover associations among transactions encoded in a database. An association rule takes the form A→B where A (the antecedent) and B (the consequent) are sets of predicates. A spatio‐temporal association rule occurs when there is a spatio‐temporal relationship in the antecedent or consequent of the rule. As a case study, association rule mining is used to explore the spatial and temporal relationships among a set of variables that characterize socioeconomic and land cover change in the Denver, Colorado, USA region from 1970–1990. Geographic Information Systems (GIS)‐based data pre‐processing is used to integrate diverse data sets, extract spatio‐temporal relationships, classify numeric data into ordinal categories, and encode spatio‐temporal relationship data in tabular format for use by conventional (non‐spatio‐temporal) association rule mining software. Multiple level association rule mining is supported by the development of a hierarchical classification scheme (concept hierarchy) for each variable. Further research in spatio‐temporal association rule mining should address issues of data integration, data classification, the representation and calculation of spatial relationships, and strategies for finding ‘interesting’ rules.     

Assessing Similarity of Geographic Processes and Events

The increased availability of spatiotemporal data collected from satellite imagery and other remote sensors provides opportunities for enhanced analysis of geographic phenomena. Much of the new data includes regular snapshots of the environment. Comparison of these snapshots can provide information about changes to the phenomena of interest. However, conventional GIS data models and analytical tools lack capabilities to adequately handle massive multidimensional data. One of the fundamental tools necessary to meet such challenges is query support to retrieve and summarize data according to dynamic geographic phenomena, such as geographic events and processes, of interest. Such query support depends upon abilities to assess spatiotemporal similarity so that data representing geographic events that exhibit the spatiotemporal characteristics of interest can be identified in a GIS database. To this end, this paper introduces a method to assess similarity of geographic events and processes (such as storms) based on their spatiotemporal characteristics (such as distribution of precipitation). We developed six indices to capture static and dynamic characteristics of geographic events and applied the Dynamic Time Warping method to temporal sequences of the six indices to examine the similarity among these events. With a case study, we demonstrated the proposed indices and method capable of comparing spatiotemporal characteristics of events as recorded in a GIS database and categorizing spatiotemporal data into groups of events according to their behavior in space and time.     

南极中山站以南地区冰面高程信息的提取

在实地高程控制点与热红外影像上同名像点的辐射亮度值间建立函数关系，从Ｌａｎｄｓａｔ４ＴＭ６影像上提取出中山站附近冰面的高程信息，并绘制成冰面地形图。     

对“3S”集成技术的一些认识

本文从遥感，地理信息系统和全球定位系统的产生与发展过程，论述了它们走向集成化的必然趋势，说明了“３Ｓ”信息集成技术的涵意；介绍了它的应用领域，最后提出了作者对发展我国以“３Ｓ”集成技术为支撑的地理信息产业应采取的对策的建议。