3S技术支持下的小型遗址提取方法

针对仅利用地物光谱分析方法不能识别某些小型遗址的现状,提出基于地物空间关系知识,多源信息复合提取遗址的思路获取目标信息。以安徽省巢湖柘皋地区为例,利用SPOT-5卫星影像和地形图数据,综合运用3S技术进行小型遗址信息提取研究。经过和巢湖文管部门普查记录对比,证明了该方法有效性。该方法可缩小遗址探查范围,为考古普查工作节约大量时间、人力和物力。     

论测绘成果的法律保护

从测绘成果性质出发,阐述了我国目前对测绘成果的保护情况,论述了测绘成果的双重属性,提出了对测绘成果法律保护的方法,并对完善现行测绘成果法律保护提出了个人观点.     

GPS-RTK用于矿山高精度沉陷监测的可行性研究

针对复杂地表条件下采用水准测量和导线测量等常规方式进行地表变形周期观测、任务量大甚至无法实施等问题,提出了建立研究区域的似大地水准面精化模型,同时采用GPS-RTK技术获取观测站三维空间信息,进而获得概率积分法预计参数。最后以内蒙古准格尔旗某煤矿的生产实践说明该技术的有效性和可行性,极大地提高了工作效率,为保护煤柱的留设提供了科学的依据。     

干旱区典型地物光谱数据库系统设计

本文在干旱区典型地物光谱和图像数据积累的基础上,以地物光谱数据,利用MS SQL Server数据库和SuperMap IS.NET平台,采用服务器/浏览器多层次架构体系进行集成,开发出基于Web的具有光谱信息管理、检索查询、可视化分析、光谱特征分析等功能的干旱区典型地物光谱数据库系统,并且能够实现无缝共享,易于维护,便于二次开发。     

Performance of rate detector algorithms for an integrated GPS/INS system in the presence of slowly growing error

In the Global Positioning System, there is no provision for real-time integrity information within the Standard Positioning Service, by design. However, in safety critical sectors like aviation, stringent integrity performance requirements must be met. This can be achieved using the special augmentation systems or RAIM (Receiver Autonomous Integrity Monitoring) or both. RAIM, the most cost-effective method relies on data consistency, and therefore requires redundant measurements for its operation. An external aid to provide this redundancy can be in the form of an Inertial Navigation system. This should enable continued performance even when no redundant satellite measurements are available. An algorithm presented in previous papers by the authors detects the rate of slowly growing errors. The algorithm was shown to be effective for early detection of slowly growing errors that belong to the class of most difficult to detect errors. Firstly, rate detector is tested for varying faults. Secondly, real data are used to validate the rate detector algorithm. The data are extensively analyzed to ascertain whether it is suitable for integrity and fault diagnostics. A modification to the original rate detector algorithm is suggested by addition of a bias state to the dynamic model. The performance is then compared with the existing techniques and substantial improvement is shown.     

实时精密单点定位中的数据预处理研究

提出了适用于实时环境的一套数据预处理方案,包括钟跳修复、联合使用Geometry-Free和Melbourne-Wübbena组合进行周跳探测。通过丰富的实验算例,说明了对观测值进行钟跳修复的必要性;证明了联合使用GF与MW组合能够准确有效地探测出实际数据中存在的以及手工模拟加入的周跳。     

基于特征的城市交通网络非平面数据库的实现

针对基于特征的GIS及交换网络分析对数据结构的要求，着重讨论了如何建立基于交通网络特征的非平面拓扑，以改进地理分层－关系表设计方法及平面图弧段－节点数据结构在交通网络描述中的不足之处，并通过面向对象的方法、动态分段技术和关系表指针操作，结合实例描述了基于完整交通特征的非平面数据库的实现方法。     

带权约束参数平差在工程控制网优化中的应用

介绍用带权约束平差原理编制的工程控制网试验修正法设计和平差程序,并用于设计工程导线和平差变形观测控制网等实际工程的例子,据此提供一些结论和建议.     

3维数字地球快速缓冲区分析算法

提出一种应用在3维数字地球中的通过图形处理器(GPU)快速实现矢量数据缓冲区分析的算法。使用一张4通道的纹理图作为容器将地理实体的矢量数据传入GPU,利用GPU的高效并行特性,将目标缓冲区纹理中的每个像素所对应的矢量坐标与原实体进行距离量算,在一次渲染中得到缓冲区纹理,最后提取出缓冲区纹理的边界。选择中国的流域和湖泊矢量数据,将本文算法与两种传统的CPU算法进行了缓冲区分析计算、测试和对比。结果显示,本文算法相对于传统矢量算法效率提高了9—16倍,相对于传统栅格算法效率提高11—20倍。实验证明,该算法计算简单,效果明显,特别是随着数据量增大,缓冲区计算速度显著优于传统算法,并能有效解决传统矢量法缓冲区分析中的数据自相交问题。     

Corn Area Extraction by the Integration of MODIS-EVI Time Series Data and China’s Environment Satellite (HJ-1) Data

In this paper, we intent to use the remotely sensed MODerate resolution Imaging Spectroradiometer (MODIS) data and China’s Environment Satellite (HJ-1) data for extracting the corn cultivated area over a regional scale. The high resolution HJ-1 data was to extract corn distribution at a small scale class with Support Vector Machine (SVM). The mean Enhanced Vegetation Index (EVI) time series curve of corn from MODIS was derived for the reference area and validated in a larger area. The MODIS-EVI time series curve derived from the reference area instead of the MODIS-EVI time series curve derived from the study area after validation, which was taken as the standard MODIS-EVI time series curve in for generating a standard MODIS-EVI image of corn. The mean absolute distance (MAD) between the standard MODIS-EVI image of corn and the MODIS-EVI time series image was used to detect the maximum possible extent of corn distribution in the study area. The results showed that the overall accuracy of the method was 82.17 %, with commission and omission errors of 16.85 and 15.40 %, respectively; at the county level, the satellite-estimated corn area and statistical data were well correlated (R ²?=?0.85, N?=?50) for the whole Jilin Province. It indicated that the MODIS data integrated with higher spatial resolution of HJ-1 satellite data could be utilized to enhance the extraction accuracy of corn cultivated area at a larger scale.