基于无人机摄影测量的地形变化检测方法与小流域输沙模型研究

流域输沙过程是地貌学和地表动力学的重要研究内容,但传统的输沙过程监测方法仅能得到某个区域的总输沙率,无法推算其空间分布。论文以黄土高原绥德县窑家湾小流域为例,利用无人机摄影测量技术得到其2006年和2019年2期数字高程模型(DEM)并计算地形变化量;然后,根据质量守恒原理和多流向算法建立泥沙在空间上的输送模型,进而计算小流域输沙率的空间分布。实验结果表明,该模型能有效模拟泥沙在空间上的输送情况,输沙率出现质量不守恒的区域面积占比小于4%,且不守恒区域多为人类活动影响区。同时,论文讨论了DEM的选择和不同地形变化检测水平对模型结果的影响。当使用第一期DEM进行泥沙搬运路径推算时,质量不守恒区域的面积显著降低。使用误差空间分布图进行地形变化检测得到的输沙率结果鲁棒性更强。使用中误差进行地形检测得到的结果在不同置信度下变化较大。基于无人机地形变化检测的空间输沙模型能方便、快捷地提供详尽的输沙率空间分布,为地表过程研究带来了新的机遇。     

基于LiDAR数据的流域水系网络提取方法研究

LiDAR技术能够提供高分辨率DEM数据,可用于准确提取流域水系网络信息。研究中针对LiDAR系统提供的高精度DEM数据中存在的噪声,提出采用各向异性扩散滤波算法进行噪声平滑,与常用的DEM滤波算法比较,该方法既能有效去除噪声,同时又能保留高梯度的地形信息。在DEM噪声去除的基础上,采用基于局部地形曲面几何分析的Peuker&Douglas算法初步提取水系网络原型,进一步利用改进的基于坡面流物理模拟分析的加权D8算法提取水系网络,构建了基于LiDAR数据水系网络提取的技术流程。通过鹤壁市某小流域的LiDAR数据水系网络提取试验证明了该方法准确提取水系网络的有效性。     

地形湿度指数算法误差的定量评价

地形湿度指数(TWI)能够定量指示地形对土壤湿度空间分布的控制,是一种应用广泛的地形属性.目前基于栅格DEM的TWI计算方法结果各异,因此有必要对'TWI算法进行定量评价.对TWI算法通常是应用实际DEM数据进行评价.但实际DEM中存在的数据源误差会干扰对算法误差的评价.针对该问题,本文介绍了一种用不含数据源误差的人造...     

一种基于坡度分析的DEM数字水印算法

提出一种新的基于坡度分析的DEM数字水印算法.该算法以DEM坡度为主要研究对象,由于坡度误差主要集中在平坦地区,而经小波变换后的DEM低频系数信息可反映DEM区域的地形复杂度,因此,通过对DEM低频系数进行分析,可自适应地确定水印的嵌入位置;然后以加性法则将水印信息嵌入低频系数,再经小波逆变换,即可得到含水印信息的DEM数据.实验结果表明,该算法能完全满足水印的不可见性,对DEM数据的高程精度、坡度精度及等高线的提取精度影响都很小,能够满足一定的应用要求,且具有良好的抗噪能力.     

基于DEM的地形单元多样性指数及其算法

在阐述地形信息表达研究进展的基础上,提出基于DEM地形单元多样性指数的概念和算法。地形单元多样性指数综合了高程、坡度、坡位、坡向、汇流量和水域信息等要素。其算法集成地形位置指数和地形湿度指数算法,采用图层叠加分析,设定分类、分级指标,进行重分类组合,划分地形单元类型,利用窗口分析法计算地形单元多样性指数。以四川省为试验区,利用精度为100 m的DEM数据和水域分布数据进行模拟计算,地形单元划分为13种典型类型,统计窗口半径设为900 m,计算出的多样性指数值小于0.5的区域仅占总面积的11%,大于0.75的区域达57%,符合实验区地形特征,并对算法进行了可行性分析和验证。结果表明,该算法提取的地形单元多样性指数可以有效反映地表形态的多样性特征及其变化。该研究结果为进一步探讨基于DEM地表形态信息的概念体系,以及从微观到宏观的地形信息空间分析研究创造了条件。     

DEM格网与畸变遥感影像的一体化显示研究

遥感影像可以极大地增强DEM的表达效果,然而由于各种因素的影响,通常需对其进行预处理,传统方法是通过同名控制点进行校正。该文提出一种新的自动匹配算法,即提取DEM和遥感影像对应的特征线,利用Douglas-Peucker算法提取对应的特征点,以DEM特征点为离散点进行Delaunay三角剖分,并基于TIN完成纹理映射。实验结果表明,该算法显示效果较好,可有效改善畸变图像引起的错误显示。     

基于大规模浮动车轨迹点数据的道路网变化检测与更新方法研究

针对矢量道路网的变化检测与更新问题,提出一种基于大规模浮动车轨迹点数据的道路网快速变化发现与更新方法。首先对矢量道路网进行栅格化处理,并根据若干天内浮动车GPS轨迹点落在栅格内的个数对栅格赋值。经过对轨迹栅格图像的低通滤波、边界清理后,采用数学形态学方法提取轨迹栅格图像的骨架线,通过判断道路骨架线与更新前道路网缓冲区之间的位置关系,快速识别出变化道路,即新增道路和消失道路。最后,对更新道路的骨架线分别进行剪枝处理、断线连接以及节点融合,实现对原有道路网道路数据的提示性更新。结果表明:与传统方法相比,该方法能够以更低的成本和更好的现势性对现有道路网进行在线增量式快速变化检测和更新。     

土地利用调查中图斑平均坡度的获取方法

图斑的平均坡度是新一轮土地利用更新调查中确定土地利用是否合理的重要参 数,但常用的图斑平均坡度获取方法均存在不同程度的不足.探讨图斑平均坡度的算法原 理,以浙江省某县的地形图数据与土地利用更新调查数据为基准数据,提出由TIN内插成DEM ,在此基础上利用ArcGIS得出各土地利用图斑的平均坡度.经验证,该方法的相对误差在4% 以内,平均相对误差为2.2%,精度符合应用要求.     

DEM上大规模空间遮挡判断方法研究

利用1：5万DEM数据,针对起伏较大的山地地形,提出基于高效空间搜索算法的日照时数计算方法。这种空间搜索算法是根据太阳位置将DEM分割成一系列平行条带,使得在某时刻可能互相遮挡的栅格都集中在一个条带内,从而缩小判断遮挡关系的遮挡范围,提高算法的效率和质量,并结合桐庐县气象站气象记录作相关分析。结果表明,模拟值和地面实测值的相关性较高,该方法能够比较精确地计算中低纬度地区复杂地形的日照时数。     

基于长短期记忆网络模型的中分辨率遥感影像变化检测研究

随着遥感数据量的增加,传统变化检测方法难以满足大数据背景下众多应用的需求。为此,该文提出了一种基于长短期记忆网络(LSTM)模型的遥感影像变化检测方法,利用循环神经网络权重共享的优势处理时间序列数据,同时加入长短期记忆网络模型的细胞状态"记忆"影像变化,以解决遥感影像变化检测中的复杂性和困难性。分别利用高光谱影像和多光谱影像进行二分类和多分类实验,从检测地物是否变化到确认变化类型两个层次证明了该方法的可靠性和适用性;相较于传统变化检测方法,该方法的自动化程度和精度有较大程度的提升,为遥感影像变化检测提供了一种新思路。     

Digital photogrammetry and kinematic GPS applied to the monitoring of Vulcano Island, Aeolian Arc, Italy

Digital photogrammetry and kinematic global positioning system (GPS) techniques are investigated and compared over a volcanic area as operational approaches to map the topography and monitor surface displacements. The use of terrestrial and airborne GPS to support the photogrammetric survey allowed for operational and processing time reduction without loss of accuracy. A digital elevation model (DEM) is obtained from the processing of the high-resolution digital imagery survey, which provides detailed information over a large area. The internal accuracy of the derived DEM has been verified by the comparison of two sets of data obtained from imagery acquired in different epochs; the observed root-mean-square error of residuals ranges from a few centimetres to 15 cm depending on the morphological features. Kinematic and pseudo-kinematic GPS surveys are performed to derive accurate 3-D coordinates at monumented benchmarks and accurate elevation profiles along footpaths. The average repeatability of the GPS measurements on benchmarks is 1 cm for measurement durations of 2–3 min. The standard deviation of interpolated vertical coordinates obtained at the crossings of kinematic GPS profiles is 4.3 cm. The high quality of these GPS coordinates justifies their use also for the validation of the photogrammetric DEM. A comparison of 6000 common points provides a standard deviation of residuals of 18 cm. The results show that the deformation pattern of a volcanic area can be rapidly and accurately monitored even in the absence of geodetic benchmarks. The integration of aerial photogrammetry with GPS kinematic surveys may be considered as an optimal approach for deriving high-resolution mapping products to be used in support of studies of volcanic dynamics.     

Methods for calculating glacier area and length in a mountainous area based on remote-sensing data and a digital elevation model

In a mountainous region, the glacier area and length extracted form the satellite imagery data is the projected area and length of the land surface, which can’t be representative of the reality; there are always some errors. In this paper, the methods of calculating glacier area and length calculation were put forward based on satellite imagery data and a digital elevation model (DEM). The pure pixels and the mixed pixels were extracted based on the linear spectral un-mixing approach, the slop of the pixels was calculated based on the DEM, then the area calculation method was presented. The projection length was obtained from the satellite imagery data, and the elevation differences was calculated from the DEM. The length calculation method was presented based on the Pythagorean theorem. For a glacier in the study area of western Qilian Mountain, northwestern China, the projected area and length were 140.93 km2 and 30.82 km, respectively. This compares with the results calculated by the methods in this paper, which were 155.16 km2 and 32.11 km respectively, a relative error of the projected area and length extracted from the LandSat Thematic Mapper (TM) image directly reach to -9.2 percent and -4.0 percent, respectively. The calculation method is more in accord with the practicality and can provide reference for some other object’s area and length monitoring in a mountainous region.     

Extracting ecological information from oblique angle terrestrial landscape photographs: Performance evaluation of the WSL Monoplotting Tool

While aerial photography and satellite imagery are the usual data sources used in remote sensing, land based oblique photographs can also be used to measure ecological change. By using such historical photographs, the time frame for change detection can be extended into the late 1800s and early 1900s, predating the era of aerial imagery by decades. Recent advancements in computing power have enabled the development of techniques for georeferencing oblique angle photographs. The WSL Monoplotting Tool is a new piece of software that opens the door to analyzing such photographs by allowing for extraction of spatially referenced vector data from oblique photographs. A very large repeat photography collection based on the world's largest systematic collection of historical mountain topographic survey images, the Mountain Legacy Project, contains >6000 high resolution oblique image pairs showing landscape changes in the Rocky Mountains of Alberta between ca. 1900 – today. We used a subset of photographs from this collection to assess the accuracy and utility of the WSL Monoplotting Tool for georeferencing oblique photographs and measuring landscape change. We determined that the tool georeferenced objects to within less than 15 m of their real world 3D spatial location, and the displacement of the geographic center of over 121 control points was less than 3 m from the real world spatial location. Most of the error in individual object placement was due to the angle of viewing incidence with the ground (i.e., low angle/highly oblique angles resulted in greater horizontal error). Simple rules of control point selection are proposed to reduce georeferencing errors. We further demonstrate a method by which raster data can be rapidly extracted from an image pair to measure changes in vegetation cover over time. This new process permits the rapid evaluation of a large number of images to facilitate landscape scale analysis of oblique imagery.     

基于QuickBird影像生成菲尔德斯半岛数字正射影像图及其精度评价

南极菲尔德斯半岛地区是世界各国进行极地科学考察的重要地区,该地区的高精度数字正射影像图(DOM)给极地考察提供了重要的信息支持。由于受地面控制点数量、分布以及DEM精度的影响,该地区已获取的数字正射影像图精度不能满足高精度应用需求。对此,本文讨论了利用QuickBird影像制作该地区数字正射影像图的方法,基于QuickBird影像,利用中国第25次南极考察队采集的地面控制点对正射纠正模型进行修正,并结合1∶20000比例尺地形图提取的DEM对影像进行投影差改正。误差分析表明,纠正后影像平面精度优于1m,满足1∶5000比例尺遥感平面图制图要求。     

Glacier extraction based on ASAR, DEM and texture feature of ASAR using SVM in the Western Qilian Mountains, Northwest China

This paper is focused on the method for extracting glacier area based on ENVISAT ASAR Wide Swath Modes (WSM) data and digital elevation model (DEM) data, using support vector machines (SVM) classification method. The digitized result of the glacier coverage area in the western Qilian Mountains was extracted based on Enhanced LandSat Thematic Mapper (ETM+) imagery, which was used to validate the precision of glacier extraction result. Because of similar backscattering of glacier, shadow and water, precision of the glacier coverage area extracted from single-polarization WSM data using SVM was only 35.4%. Then, texture features were extracted by the grey level co-occurrence matrix (GLCM), with extracted glacier coverage area based on WSM data and texture feature information. Compared with the result extracted from WSM data, the precision improved 13.2%. However, the glacier was still seriously confused with shadow and water. Finally, DEM data was introduced to extract the glacier coverage area. Water and glacier can be differentiated because their distribution area has different elevations; shadow can be removed from the classification result based on simulated shadow imagery created by DEM data and SAR imaging parameters; finally, the glacier coverage area was extracted and the precision reached to 90.2%. Thus, it can be demonstrated that the glacier can be accurately semi-automatically extracted from SAR with this method. The method is suitable not only for ENVISAT ASAR WSM imagery, but also for other satellite SAR imagery, especially for SAR imagery covering mountainous areas.     

A polygon-based approach for matching OpenStreetMap road networks with regional transit authority data

Matching road networks is an essential step for data enrichment and data quality assessment, among other processes. Conventionally, road networks from two datasets are matched using a line-based approach that checks for the similarity of properties of line segments. In this article, a polygon-based approach is proposed to match the OpenStreetMap road network with authority data. The algorithm first extracts urban blocks that are central elements of urban planning and are represented by polygons surrounded by their surrounding streets, and it then assigns road lines to edges of urban blocks by checking their topologies. In the matching process, polygons of urban blocks are matched in the first step by checking for overlapping areas. In the second step, edges of a matched urban block pair are further matched with each other. Road lines that are assigned to the same matched pair of urban block edges are then matched with each other. The computational cost is substantially reduced because the proposed approach matches polygons instead of road lines, and thus, the process of matching is accelerated. Experiments on Heidelberg and Shanghai datasets show that the proposed approach achieves good and robust matching results, with a precision higher than 96% and a F1-score better than 90%.     

基于直升机平台的南极非量测数码航空摄影测量技术研究

使用直升机作为飞行平台并应用哈苏H1D非量测数码相机进行南极中山站和拉斯曼丘陵地区摄影测量。通过对非量测相机标定,获取相机的内方位元素,从而可进行航空摄影测量。两个区域的具体试验表明基于直升机平台和非量测数码相机的航空摄影测量可应用于南极等困难地区的地形图测绘。     

基于遥感信息的淹没水深算法研究

该文针对遥感监测的洪水范围。提出一种实用的洪水淹没水深算法。该算法视淹没区为静态水面分布。将其与DEM叠加。经系列误差处理与优化。得到相对平滑的水陆边界高程。再采用双线性插值计算淹没范围内的水深分布。以广东省北江流域清远地区2002年10月底的一次洪水为例进行验证。结果表明该算法在计算精度和效率方面均能满足实际洪水评估要求。