遥感变化检测技术方法综述

遥感变化检测技术是当今遥感技术研究的热点问题之一,现有遥感变化检测技术方法很多,其分类方式也很多。本文在总结已有的变化检测方法的基础上,将变化检测方法分类为仅基于光谱的变化检测方法和结合辅助知识的变化检测方法。     

The SANET Toolbox: New Methods for Network Spatial Analysis

This paper describes new methods, called network spatial methods, for analyzing spatial phenomena that occur on a network or alongside a network (referred to as network spatial phenomena). First, the paper reviews network spatial phenomena discussed in the related literature. Second, the paper shows the uniform network transformation, which is used in the study of non‐uniform distributions on a network, such as the densities of traffic and population. Third, the paper outlines a class of network spatial methods, including nearest neighbor distance methods, K‐function methods, cell count methods, clumping methods, the Voronoi diagrams and spatial interpolation methods. Fourth, the paper shows three commonly used computational methods to facilitate network spatial analysis. Fifth, the paper describes the functions of a GIS‐based software package, called SANET, that perform network spatial methods. Sixth, the paper compares network spatial methods with the corresponding planar spatial methods by applying both methods to the same data set. This comparison clearly demonstrates how different conclusions can result. The conclusion summarizes the major findings.     

DEM误差可视化方法分析与研究

可视化技术为DEM误差的分析处理提供了有效的手段.目前,DEM误差可视化的方法主要有误差地图法、等高线套合法、二维图表法及多维可视化法等.面对DEM误差的多源性,如何合理的区分和使用可视化方法成为一个亟待解决的问题.因此,本文研究了当前主要DEM误差可视化技术的发展与应用,并在圆形平行坐标系方法基础上融合DEM误差,提...     

求解半变异函数的常用方法与新方法研究

半变异函数的获取既有人为主观求取法,又有运用数学工具客观求取法,但是后者是今后的主要趋势。笔者在前人工作的基础上,归纳出多项式回归法、线性规划法和目标规划法三种求解半变异函数的成熟方法,以及非线性回归理论直接求解法、进化计算和积分面积三种新兴方法,并总结出各种方法的优缺点。最后概括出计算权重的两种方法。     

定量遥感升尺度转换方法研究进展

尺度效应是地理科学中普遍存在的现象,制约着遥感等空间科学的发展。发展合理的尺度转换方法以促进遥感技术的全面应用迫在眉睫。本文分别从面—面升尺度转换、点—面升尺度转换两个角度对目前定量遥感领域存在的升尺度转换方法进行综述。其中,面—面升尺度转换方法按照转换原理可分为先反演后聚合、先聚合后反演两种;点—面升尺度转换方法依据定权策略可分为简单平均法、经验回归法、地统计方法、贝叶斯方法等。不同的升尺度转换方法具有各自的特点和优势,本文分别从模型构架、基本原理、特点、局限性和适用条件等方面对现有升尺度转换方法进行分析和讨论,并从离散型与连续型、统计型与物理型、普适型与针对型以及先验知识有和无4个方面总结了现有研究中存在的不足,剖析了升尺度转换研究中存在的问题与挑战,并预测了可能的发展方向。     

P2P空间数据索引方法研究综述

本文针对基于对等网络的空间数据索引方法展开综述,将当前的P2P空间数据索引方法分为4大类:基于分布式哈希表、树结构、Delaunay三角网结构和基于距离的P2P空间索引方法。分别对每类的研究内容和相关技术进行详细论述,然后对各类查询方法的效率、维护代价和负载均衡情况等相关指标进行对比,最后进行了总结和展望。     

小波理论在遥感图像融合中应用

小波变换用于多源遥感图像融合已得到了国内外学者的广泛关注,并且又提出了很多小波变换与传统融合方法结合的融合算法。本文在对这些算法进行总结的基础上,讨论了基于小波包变换和最优树变换以及多进制小波变换在融合中的应用,分析他们在融合中各自的特色,以便使用时根据具体情况进行选择。     

二维动画地图表示方法的研究与应用

本文根据动画地图表示内容和常用动画技术的特点,对二维动画地图的表示方法进行了探讨。归纳了基于空间分布特征的表示方法、基于动画地图用途的表示方法和基于动画技术的表示方法及其分类,并讨论了影响选择表示方法的因素和几种表示方法相互配合的应用规律,对动画地图可视化的理论与技术的研究有一定参考。     

On Newton-like methods for solving nonlinear equations

Introduction Manymethodsforsolvingnonlinearequations aredescribedindetail[1,2].TheNewtonmethod fortheapproximationofarootofnonlinear equationf(x)=0isanimportantandbasic method,whichconvergesquadratically.The Newtonmethodanditsdeformationsarefocused onallt…     

On Newton-like methods for solving nonlinear equations

In this paper, we present a family of general Newton-like methods with a parametric function for finding a zero of a univariate function, permittingf′(x)=0 in some points. The case of multiple roots is not treated. The methods are proved to be quadratically convergent provided the weak condition. Thus the methods remove the severe conditionf′ (x)≠0. Based on the general form of the Newton-like methods, a family of new iterative methods with a variable parameter are developed.     

Delaunay三角网与Voronoi图在划分城市影响空间中的应用研究

探讨了基于Delaunay三角网和加权Voronoi图划分城市影响空间的方法,论证了其合理性和可行性,并对两种方法进行了对比分析,最后以河南省为例进行了实证分析.     

Evaluations and comparisons of rule-based and machine-learning-based methods to retrieve satellite-based vegetation phenology using MODIS and USA National Phenology Network data

Vegetation phenology is a sensitive indicator that reflects the vegetation–atmosphere interactions and vegetation processes under global atmospheric changes. Fast-developing remote sensing technologies that monitor the land surface at high spatial and temporal resolutions have been widely used in vegetation phenology retrieval and analysis at a large scale. While researchers have developed many phenology retrieving methods based on remote sensing data, the relationships and differences among the phenology retrieving methods are unclear, and there is a lack of evaluation and comparison with the field phenology recoding data. In this study, we evaluated and compared eight phenology retrieving methods using Moderate Resolution Imaging Spectroradiometer (MODIS) and the USA National Phenology Network data from across North America. The studied phenology retrieving methods included six commonly used rule-based methods (i.e., amplitude threshold, the first-order derivative, the second-order derivative, the third-order derivative, the relative change curvature, and the curvature change rate) and two newly developed machine learning methods (i.e., neural network and random forest). At the large scale, the start of the season (SOS) values, derived by all methods, had similar spatial distributions; however, the retrieved values had large uncertainties in each pixel, and the end of the season (EOS) inverted values were largely different among methods. At the site scale, the SOS and EOS values extracted by the rule-based methods all had significant positive correlations with the field phenology observations. Among the rule-based methods, the amplitude threshold method performed the best. The machine learning methods outperformed the rule-based methods in terms of retrieving the SOS when assessed using the field observations. Our study highlighted that there were large differences among the methods in retrieving the vegetation phenology from satellite data and that researchers must be cautious in selecting an appropriate method for analyzing the satellite-retrieved phenology. Our results also demonstrated the importance of field phenology observations and the usefulness of the machine learning methods in understanding the satellite-based land surface phenology. These findings provide a valuable reference for the future development of global and regional phenology products.     

浅谈大比例尺数字测图的应用及其减少误差的方法

结合工作实际对大比例尺数字测图的方法、误差来源及减少误差的方法进行讨论,并提出一些在实际工作中减少误差的方法。     

热红外遥感火星矿物填图方法初步研究及应用

利用热辐射光谱仪（TES）数据,对火星进行热红外遥感矿物填图。通过对几种典型填图方法的简要介绍,结合火星环境及方法的使用条件,对填图结果进行简单比较,初步分析了填图方法的差异性,为火星矿物填图的进一步研究提供了基础,并为方法和模型的进一步改进提供了依据。     

检核GPS测量控制网起算点精度的方法及其探讨

本文根据现行规范、规程检核GPS测量控制网起算数据的方法和精度要求，分析了检核方法和效果，探讨了选用起算点的方法。     

利用GPS组合观测值探测修复周跳的方法比较

在目前常用的周跳探测与修复方法基础上,分析利用GPS组合观测值来探测修复周跳的3种方法,通过模拟的实验结果证明其有效性,比较各个方案的特性,并引入LC-PC衡量标准比较各方案探测修复周跳的能力。     

电(磁)法技术在地下管线探测中的应用

电(磁)法主要有充电法、高密度电法、甚低频法、电磁感应法和电磁波法(探地雷达)等.在地下管线探测中,电(磁)法是最主要的探测方法.本文介绍了电(磁)法探测地下管线的原理和特点,并列举了各种电(磁)法技术在地下管线探测中的应用.笔者对电(磁)法技术在地下管线探测中的应用前景进行了展望,指出电(磁)法技术在地下管线探测中拥有巨大的应用空间.     

Is your neighbor your friend? Scan methods for spatial social network hotspot detection

GIS analyses use moving window methods and hotspot detection to identify point patterns within a given area. Such methods can detect clusters of point events such as crime or disease incidences. Yet, these methods do not account for connections between entities, and thus, areas with relatively sparse event concentrations but high network connectivity may go undetected. We develop two scan methods (i.e., moving window or focal processes), EdgeScan and NDScan, for detecting local spatial-social connections. These methods capture edges and network density, respectively, for each node in a given focal area. We apply methods to a social network of Mafia members in New York City in the 1960s and to a 2019 spatial network of home-to-restaurant visits in Atlanta, Georgia. These methods successfully capture focal areas where Mafia members are highly connected and where restaurant visitors are highly local; these results differ from those derived using traditional spatial hotspot analysis using the Getis–Ord Gi* statistic. Finally, we describe how these methods can be adapted to weighted, directed, and bipartite networks and suggest future improvements.     

热红外地表温度遥感反演方法研究进展

地表温度是表征地表过程变化的一个非常重要的特征物理量,是地表—大气能量交换的直接驱动因子,广泛地用于地表能量平衡、气候变化和资源环境监测等研究领域。本文系统地评述了热红外地表温度遥感反演方法,包括单通道算法、多通道算法、多角度算法、多时相算法和高光谱反演算法。回顾了地表温度反演的基础理论和方法;并在此基础上,进一步综述了地表温度遥感反演的验证方法,以及地表温度的时间和角度归一化方法;最后对未来提高地表温度反演精度的研究方向提出了建议。     

GPS坐标转换方法比较分析

本文给出了GPS坐标向地方坐标转换的几种二维平面坐标转换方法,并给出了这几种方法的精度比较分析,最后通过实例对其中两种坐标转换方法进行了精度比较。