Dam deformation analysis based on BPNN merging models

Hydropower has made a significant contribution to the economic development of Vietnam, thus it is important to monitor the safety of hydropower dams for the good of the country and the people. In this paper, dam horizontal displacement is analyzed and then forecasted using three methods: the multi-regression model, the seasonal integrated auto-regressive moving average (SARIMA) model and the back-propagation neural network (BPNN) merging models. The monitoring data of the Hoa Binh Dam in Vietnam, including horizontal displacement, time, reservoir water level, and air temperature, are used for the experiments. The results indicate that all of these three methods can approximately describe the trend of dam deformation despite their different forecast accuracies. Hence, their short-term forecasts can provide valuable references for the dam safety.     

农村集体土地所有权数据库建设方法研究

结合鹤壁市农村集体土地确权登记发证工作,探讨建设内业数据库的路线和方法。     

基于地理本体的土地空间面对象模型

目前,土地空间数据方面的研究比较偏重数据库、程序语言、信息系统的构建方法等方面,而缺乏专门的文章对土地空间对象的概念、种类、数量和关系等做整体研究。本研究运用地理本体论的概念分类思想和空间语义关系理论,将地块作为共享概念,首次深入系统地解析土地管理业务中涉及的主要土地空间面对象的内涵、关系等,构建并实证分析三层多级本体土地空间面对象模型,为解决土地要素完善、土地信息标准化和土地数据库的建设等提供参考依据。     

地籍调查成果检查验收中值得注意的几个问题

论述了地籍调查成果检查验收中容易忽略而对成果质量影响较大的几个技术问题.此问题的完善对成图质量将会起到重要作用.     

山东省线状中尺度对流系统与多单体风暴的合并特征

利用济南多普勒天气雷达产品和华北区域雷达拼图等资料,普查了2012—2016年影响山东的线状中尺度对流系统(linear mesoscale convective system,LMCS),分析了LMCS与多单体风暴的合并方式以及合并后的演变趋势等特征,得到如下几条结论：1)LMCS(A)与多单体风暴(B)有A追B,A扩展,A、B相向和B追A四种合并方式;2)LMCS与多单体风暴合并的临界距离为30 km;3)LMCS与多单体风暴合并后,强度增强或维持,尺度增大,生命史延长,长轴将可能转向;4)LMCS与多单体风暴合并时,其本身合并部分将减弱,多单体风暴合并进入LMCS,成为LMCS的一部分;5)合并是雷暴的传播运动造成的;6)63.3%的合并案例会产生雷暴大风、冰雹或强降水灾害,雷暴大风灾害出现的概率最大。     

关于农村集体土地所有权外业调查方法研究

结合葫芦岛农村集体土地所有权的确权发证工作的实践,阐述其外业调查部分的技术路线和方法。     

The role of root-mean-square error in the geo-transformation of images in GIS

ABSTRACT

There is growing interest in the use of images in GIS applications. This paper examines the role of root-mean-square error in assessing the accuracy of digitisation and image–to–world transformation, The study employed Arc/Info software, using an aerial photograph of a small coastal settlement as the base image. The transformed image was overlayed onto a calibrated digital cadastre of the town to evaluate (visually) the geometric integrity of the image rectification. While not dismissing the relevance of rms error in the statistical appraisal of data quality in GIS, the study failed to confirm a workable association between rms error and the quality of image transformation. No apparent improvement in the quality of image transformation was achieved as a result of reducing rms error directly, by eliminating the control points with high residual error.     

基于图论的宗地模型和宗地变更

针对目前宗地变更操作的描述缺乏系统性的问题,提出了基于图论的宗地模型,探讨了宗地信息变更方法,给出了有关的数学性质.     

An automated object-based approach for the multiscale image segmentation of forest scenes

Over the last decade the analysis of Earth observation data has evolved from what were predominantly per-pixel multispectral-based approaches, to the development and application of multiscale object-based methods. To empower users with these emerging object-based approaches, methods need to be intuitive, easy to use, require little user intervention, and provide results closely matching those generated by human interpreters. In an attempt to facilitate this, we present multiscale object-specific segmentation (MOSS) as an integrative object-based approach for automatically delineating image-objects (i.e., segments) at multiple scales from a high-spatial resolution remotely sensed forest scene. We further illustrate that these segments cognitively correspond to individual tree crowns, ranging up to forest stands, and describe how such a tool may be used in computer-assisted forest inventory mapping. MOSS is composed of three primary components: object-specific analysis (OSA), object-specific upscaling (OSU), and a new segmentation algorithm referred to as size constrained region merging (SCRM). The rationale for integrating these methods is that the first two provide the third with object-size parameters that otherwise would need to be specified by a user. Analysis is performed on an IKONOS-2 panchromatic image that represents a highly fragmented forested landscape in the Sooke Watershed on southern Vancouver Island, BC, Canada.     

区域化探中多图幅系统误差的校正

针对区域地球化学图件中出现的含量等值线环绕子区边界的情况,提出多图幅拼接系统误差的校正方法,将其转化为数学方法中正规方程组的求解,以解决各个图幅系统误差校正不能兼顾的问题.以阿龙山地区区域化探图幅拼接为例对该方法的有效性进行了证明.