财政局地理信息系统的设计与实现

本文分析了当前财政局管理信息系统存在的问题,提出将地理信息系统技术、网络技术、数据库技术运用到财政管理中,建立财政局地理信息系统;文章重点研究了财政局地理信息系统的结构及功能,并结合北京市财政局地理信息系统开发实例,阐述了财政局地理信息系统的核心功能和系统实现方法。     

陀螺经纬仪时间观测数据函数模型的研究

本文运用最小二乘谱分析的原理,对陀螺经纬仪时间观测数据进行分析,提出了一种较以前采用的函数模型更为简便、实用的函数模型,并利用实测数据分析了测时定向方法的精度。     

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。     

世界航天遥感技术现状、发展趋势及油气遥感应用方向

世界航天遥感技术发展迅速,掌握卫星发射技术和具备卫星发射能力的国家越来越多,其中,高分辨率小型商业卫星和雷达卫星已经成为重要的遥感信息源;高光谱分辨率遥感将是现今和下个世纪的发展方向。本文总结了世界航天遥感技术现状,分析了今后的发展趋势,提出了油气遥感应用的研究方向     

联合机载LiDAR数据和潮汐数据自动提取潮位线

首先,联合机载激光雷达(LiDAR)数据提取的海岸带数字表面模型(DSM)与验潮站数据提取的高、低潮面进行相交运算,生成"水陆二值图像",然后对其以提取边缘的方式提取高、低潮潮位线;针对LiDAR光束无法穿透水体导致低潮线附近DSM为无效值的缺陷,采取移动趋势面拟合法外推概略低潮线附近DSM,在此基础上重新提取更精确的低潮潮位线。实验表明,该方法能在较少人工干预的情况下有效提取高、低潮潮位线。     

基于变换域方法抑制线性调频干扰的GPS接收机设计

GPS接收机的信号通常很微弱,很容易受到有意或无意的干扰。对于线性调频干扰,在GPS接收机中很难用单一的时域或频域方法消除,因为线性调频干扰不同于一般的宽带或窄带干扰。另外线性调频干扰在变换域有不同于GPS C/A码的显著特征,基于此特点设计了一种在变换域抑制线性调频干扰的GPS接收机。分析了线性调频干扰在变换域的特征,仿真结果验证了这种设计方法的可行性。     

A formula for computing the gravity disturbance from the second radial derivative of the disturbing potential

 A formula for computing the gravity disturbance and gravity anomaly from the second radial derivative of the disturbing potential is derived in detail using the basic differential equation with spherical approximation in physical geodesy and the modified Poisson integral formula. The derived integral in the space domain, expressed by a spherical geometric quantity, is then converted to a convolution form in the local planar rectangular coordinate system tangent to the geoid at the computing point, and the corresponding spectral formulae of 1-D FFT and 2-D FFT are presented for numerical computation. Received: 27 December 2000 / Accepted: 3 September 2001     

GPS数据处理中IGS基准站的选取

IGS基准站的选取问题是目前GPS数据处理中讨论的热点问题。文中从基准站选取的几何意义、统计意义和物理意义3个方面分析讨论了IGS基准站的选取问题。并通过对理论及大量算例的分析，提出了IGS基准站选取的一般原则。     

数字城市规划系统关键技术分析

分析了数字城市规划系统的业务需求，介绍了其基础数据更新、工作流、无纸化办公、历史空间信息管理等主要关键技术，并对其进行了讨论。     

Mapping Wetland Areas Using Landsat-Derived NDVI and LSWI: A Case Study of West Songnen Plain,Northeast China

Increasing interest in wetlands for environmental management requires an understanding of the location, spatial extent, and configuration of the resource. The National Wetlands Inventory is the most commonly used data source for this information. However, its accuracy is limited in some contexts, such as agricultural and forested wetlands. An large number of studies have mapped wetlands worldwide from the perspective of land use and land cover change. However, information on the actual wetland planting areas annually is limited, which greatly impacts ongoing research. In this case study of the West Songnen Plain, we developed a simple algorithm for the quick mapping of wetlands by utilizing their unique physical features, such as annual display of phenological land-cover change of exposed soils, shallow flooding water, and plants from multi-temporal Landsat images. Temporal variations of the Normalized Difference Vegetation Index (NDVI) and Land Surface Water Index (LSWI) derived from Landsat images in 2010 for wetlands at different growth stages were analyzed. Results show that during the ante-tillering phase, the NDVI value (above zero) is lower than the LSWI value of paddies because of flooding of shallow water; during the reproductive and ripening phases, the NDVI value is higher than the LSWI value (above zero); and during the post-harvest wetland planting phase, the NDVI value is still higher than the LSWI value, but the LSWI value is negative. Wetland areas can be detected using one or two images in the optimum time window. The algorithm based on the difference of NDVI and LSWI values derived from Landsat images was used to extract the actual wetland planting area. Validated alongside statistical data, the algorithm showed high accuracy. Therefore, this algorithm highlights the unique features of wetlands and can help in mapping the actual wetland area annually on a regional scale. Results further indicate that the new method has a classification accuracy of 92 %. In comparison, two traditional methods based on Landsat-7/ETM registered accuracy rates of only 83 % and 87 % respectively.