基于六角格的陆地边界环境模型构建方法研究

陆地边界环境是边界划界与边界区域分析的基础,是关系到国家利益的重要内容。然而,国内外对相关技术的研究却不多,研究成果更少。针对这一问题,本文分析了陆地边界环境的具体内容,提出了基于六角格的陆地边界环境模型,探讨了模型的构建流程,研究了建模过程中的几项关键技术,包括数学基础的确定、区域剖分技术、区域细分技术及信息映射方法等。最后对模型技术进行了总结,展望了其实际应用前景。     

Rank-defect adjustment model for survey-line systematic errors in marine survey net

In this paper, the structure of systematic and random errors in marine survey net are discussed in detail and the adjustment method for observations of marine survey net is studied, in which the rank-defect characteristic is discovered first up to now. On the basis of the survey-line systematic error model, the formulae of the rank-defect adjustment model are deduced according to modern adjustment theory. An example of calculations with really observed data is carried out to demonstrate the efficiency of this adjustment model. Moreover, it is proved that the semi-systematic error correction method used at present in marine gravimetry in China is a special case of the adjustment model presented in this paper.     

Models for analyzing the driving force of cultivated land supply change

This paper focuses on a series of quantitative analysis models, such as grey relational analysis model, hierarchical cluster analysis model, principal component analysis model, linear regression model and elastic coefficient model. These models are used to analyze the comprehensive function and effect of driving forces systemically, including analysis on features, analysis for differentiating the primary and the secondary, analysis on comprehensive effects, analysis of elasticity, analysis of prediction. The primary and characteristic factors can be extracted by analysis of features and analysis for differentiating the primary and the secondary. Analysis on prediction and elasticity can predict the area of cultivated land in the future and find out which factors exert great influence on the cultivated land supply.     

Model generalization of two different drainage patterns by self-organizing maps

In this study, we develop a new method using self-organizing maps (SOMs) for the selection of hydrographic model generalization. The most suitable attributes of the stream objects are used as input variables to the SOM. The attributes were weighted using Pearson’s chi-square independence test. We used the Radical Law to determine how many features should be selected, and an incremental approach was developed to determine which clusters should be selected from the SOM. Two drainage patterns (dendritic and modified basic) were obtained from the National Hydrography Datasets of United States Geological Survey at 1:24,000-scale (high resolution) and used in order to derive stream networks at 1:100,000-scale (medium resolution). The 1:100,000-scale stream networks, derived in accordance with the proposed approach, are similar to those in the original maps in both quantity and visual aspects. Stream density and pattern were maintained in each subunit, and continuous and semantically correct networks were obtained.     

Evaluation of environmental parameters in logistic regression models for landslide susceptibility mapping

Abstract

The aim of this study was to determine how well the landslide susceptibility parameters, obtained by data-dependent statistical models, matched with the parameters used in the literature. In order to achieve this goal, 20 different environmental parameters were mapped in a well-studied landslide-prone area, the Asarsuyu catchment in northwest Turkey. A total of 4400 seed cells were generated from 47 different landslides and merged with different attributes of 20 different environmental causative variables into a database. In order to run a series of logistic regression models, different random landslide-free sample sets were produced and combined with seed cells. Different susceptibility maps were created with an average success rate of nearly 80%. The coherence among the models showed spatial correlations greater than 90%. Models converged in the parameter selection peculiarly, in that the same nine of 20 were chosen by different logistic regression models. Among these nine parameters, lithology, geological structure (distance/density), landcover-landuse, and slope angle were common parameters selected by both the regression models and literature. Accuracy assessment of the logistic models was assessed by absolute methods. All models were field checked with the landslides resulting from the 12 November 1999, Kayna?li Earthquake (Ms = 7.2).     

Spatiotemporal reflectance blending in a wetland environment

To understand the mechanism of wetland cover change with both moderate spatial resolution and high temporal frequency, this research evaluates the applicability of a spatiotemporal reflectance blending model in the Poyang Lake area, China, using 9 time-series Landsat-5 Thematic Mapper images and 18 time-series Terra Moderate Resolution Imaging Spectroradiometer images acquired between July 2004 and November 2005. The customized blending model was developed based on the enhanced spatial and temporal adaptive reflectance fusion model (ESTARFM). Reflectance of the moderate-resolution image pixels on the target dates can be predicted more accurately by the proposed customized model than the original ESTARFM. Water level on the input image acquisition dates strongly affected the accuracy of the blended reflectance. It was found that either of the image sets used as prior or posterior inputs are required when the difference of water level between the prior or posterior date and target date at Poyang Hydrological Station is <2.68 m to achieve blending accuracy with a mean average absolute difference of 4% between the observed and blended reflectance in all spectral bands.     

利用GRIC测度的匹配数据拟合模型检测算法

影像间的匹配点通常受基本矩阵或单应矩阵模型约束,利用不同的描述模型引导匹配会得到不同的匹配结果,并且将直接影响后续的三维重建结果。引入GRIC测度来检测匹配数据的拟合模型,推导了GRIC测度拟合单应矩阵模型和基本矩阵模型的误差方程。模拟数据和真实影像数据实验表明,GRIC测度比利用误差大小来检测拟合模型更加可靠,可以更有效地剔除误匹配点。     

一种改进的快速最小高差DEM匹配方法

利用最小高差(LZD)法进行DEM匹配时,当待匹配DEM的分辨率比参考DEM高时,确定的同名点中存在冗余,将导致计算冗余和效率降低。为解决上述问题,对LZD法确定同名点的模型进行改化,提出一种改进的基于最小高差原理的快速DEM匹配方法。该方法根据参考DEM的格网点确定同名点以避免冗余,并通过近似确定同名点及其高差,有效简化了计算过程。实验结果表明,该方法在保证较高的收敛速度和匹配精度的基础上,可有效提高计算效率,且计算效率不随待匹配DEM分辨率提高而降低,DEM间分辨率差异越大,方法的优势越明显。     

一种人群疏散模型的改进及轻量实现

针对传统人群疏散模拟中基于多智能体模型不能准确表达人群躲避行为和缺少轻量级实现形式的问题,该文提出了一种改进的BOIDS模型躲避规则算法并实现基于WEB形式的人群疏散模拟。先用线球相交方法设置智能体的定义区域;再用球球相交方法计算智能体与障碍物间的距离;最后实现了智能体躲避障碍物行为,并实现针对具体疏散区域空间特征的人群疏散模拟轻量级表示。实验结果表明:改进算法能够准确地表达智能体躲避障碍物时的行为习性,研究成果可为相关管理者进行应急疏散指挥工作的开展提供信息化服务。     

翻转课堂在地理信息系统课程教学中的实践与思考

针对教师主导的传统教学模式在地理信息系统课程教学中存在的不足,提出了将翻转课堂这一新的混合学习教学模式引入教学的想法。首先分析了地理信息系统课程实施翻转课堂的必要性和可行性,然后在综合考虑地理信息系统课程特点与中外教育文化差异的基础上进行了课程设计和组织实施。实践结果表明,实施翻转课堂确实能够提高学生学习主动性和教学质量,同时也对教师的专业水平和教学能力提出了更高的要求。