一种由粗到精的地面激光点云多层级配准方法

提出了一种综合利用快速点特征直方图(FPFH)描述符和同名点引导ICP优化的地面激光扫描(TLS)点云配准方法。该方法包括3个步骤:1)点云金字塔构建;2)基于FPFH的粗配准;3)同名点引导的ICP精配准。首先使用体素网格滤波器构造点云的金字塔结构,在粗配准时,FPFH描述符用于金字塔顶层上点云的鲁棒匹配,在此基础上,再进行两层级同名点引导的ICP精配准优化,使用3组典型TLS点云对进行实验,结果表明本文方法可以高效地完成TLS点云的配准。     

三维激光扫描技术在宁化天鹅洞改造测量中的应用

三维激光扫描技术是目前最先进的测绘数据获取方式之一,它采用非接触主动测量方式直接获取高精度的三维数据,能够对任意物体进行扫描,快速将现实世界的信息转换成计算机可处理的三维数据信息,与传统测绘技术相比,除了速度快、精度高的优势外,更有获取对象信息更全面、提供的测绘成果更丰富更直观的突出技术特点。本文以宁化天鹅洞改造测量项目为例,探讨了三维激光扫描技术在地下溶洞改造测量工作中的应用原理、工作流程、成果类型及其技术优势,希望对同类工程项目应用有一定借鉴作用。     

Effect of different registration methods on precision of orientation based on RTK registration/georeferencing mode

Abstract

Compared with traditional methods, the three-dimensional laser-scanning (3D-LS) technique can efficiently acquire many high-quality geometric properties of rock discontinuities. In practice, engineers usually prefer to simplify the processing by using single-station point data and roughly orienting owing to the complexity of registration/georeferencing multi-station point data. However, prior published studies have paid little attention to the accuracy and reliability when determining discontinuity orientations using 3D-LS. We propose a reliable and accurate method with robust on-site applicability. As part of an ongoing effort, we are evaluating the precision of the commonly used coarse registration method and the fine registration method, and promoted the optimized coarse- and fine-registration methods and evaluated their precision. It is found that: (1) the common and the optimized registration method can meet our project’s engineering requirements, and the optimized registration method improved accuracy in the dip direction by approximately 1°; (2) fine registration using an iterative closest point (ICP) algorithm can correct both dip direction and dip angle; and (3) the orientation is of high precision with commonly used coarse and fine registration, whereas the optimization effect to correct the orientation is slightly limited.     

Inter-comparison of remote sensing platforms for height estimation of mango and avocado tree crowns

To support the adoption of precision agricultural practices in horticultural tree crops, prior research has investigated the relationship between crop vigour (height, canopy density, health) as measured by remote sensing technologies, to fruit quality, yield and pruning requirements. However, few studies have compared the accuracy of different remote sensing technologies for the estimation of tree height. In this study, we evaluated the accuracy, flexibility, aerial coverage and limitations of five techniques to measure the height of two types of horticultural tree crops, mango and avocado trees. Canopy height estimates from Terrestrial Laser Scanning (TLS) were used as a reference dataset against height estimates from Airborne Laser Scanning (ALS) data, WorldView-3 (WV-3) stereo imagery, Unmanned Aerial Vehicle (UAV) based RGB and multi-spectral imagery, and field measurements. Overall, imagery obtained from the UAV platform were found to provide tree height measurement comparable to that from the TLS (R² = 0.89, RMSE = 0.19 m and rRMSE = 5.37 % for mango trees; R² = 0.81, RMSE = 0.42 m and rRMSE = 4.75 % for avocado trees), although coverage area is limited to 1–10 km² due to battery life and line-of-sight flight regulations. The ALS data also achieved reasonable accuracy for both mango and avocado trees (R² = 0.67, RMSE = 0.24 m and rRMSE = 7.39 % for mango trees; R² = 0.63, RMSE = 0.43 m and rRMSE = 5.04 % for avocado trees), providing both optimal point density and flight altitude, and therefore offers an effective platform for large areas (10 km²–100 km²). However, cost and availability of ALS data is a consideration. WV-3 stereo imagery produced the lowest accuracies for both tree crops (R² = 0.50, RMSE = 0.84 m and rRMSE = 32.64 % for mango trees; R² = 0.45, RMSE = 0.74 m and rRMSE = 8.51 % for avocado trees) when compared to other remote sensing platforms, but may still present a viable option due to cost and commercial availability when large area coverage is required. This research provides industries and growers with valuable information on how to select the most appropriate approach and the optimal parameters for each remote sensing platform to assess canopy height for mango and avocado trees.     

Moving from plot-based to hillslope-scale assessments of savanna vegetation structure with long-range terrestrial laser scanning (LR-TLS)

Reliable quantification of savanna vegetation structure is critical for accurate carbon accounting and biodiversity assessment under changing climate and land-use conditions. Inventories of fine-scale vegetation structural attributes are typically conducted from field-based plots or transects, while large-area monitoring relies on a combination of airborne and satellite remote sensing. Both of these approaches have their strengths and limitations, but terrestrial laser scanning (TLS) has emerged as the benchmark for vegetation structural parameterization – recording and quantifying 3D structural detail that is not possible from manual field-based or airborne/spaceborne methods. However, traditional TLS approaches suffer from similar spatial constraints as field-based inventories. Given their small areal coverage, standard TLS plots may fail to capture the heterogeneity of landscapes in which they are embedded. Here we test the potential of long-range (>2000 m) terrestrial laser scanning (LR-TLS) to provide rapid and robust assessment of savanna vegetation 3D structure at hillslope scales. We used LR-TLS to sample entire savanna hillslopes from topographic vantage points and collected coincident plot-scale (1 ha) TLS scans at increasing distances from the LR-TLS station. We merged multiple TLS scans at the plot scale to provide the reference structure, and evaluated how 3D metrics derived from LR-TLS deviated from this baseline with increasing distance. Our results show that despite diluted point density and increased beam divergence with distance, LR-TLS can reliably characterize tree height (RMSE = 0.25–1.45 m) and canopy cover (RMSE = 5.67–15.91%) at distances of up to 500 m in open savanna woodlands. When aggregated to the same sampling grain as leading spaceborne vegetation products (10–30 m), our findings show potential for LR-TLS to play a key role in constraining satellite-based structural estimates in savannas over larger areas than traditional TLS sampling can provide.     

多源地理空间矢量数据关联分析

针对多源地理空间矢量数据多来源、难以集成综合利用这一现状,本文提出了多源地理空间矢量数据关联方法,并以此为基础构建了多源地理空间矢量数据关联的可视与计算查询系统。首先,对多源地理空间矢量数据关联的概念及分类进行了定义。然后,以此为基础,提出了关联关系构建技术：自适应四叉树编码技术、扫描线技术、几何匹配及语义匹配技术。最后,为实现关联关系的直观展示,设计了原型系统。关联技术的提出可建立起多源地理空间矢量数据之间的关联关系,原型系统的构建也为用户综合利用多源地理空间矢量数据提供了平台,提高了数据的利用率及数据查询的效能。     

Cyclone在数字校园三维激光点云数据预处理中的应用

为了高效获取精确的数字校园地形图的测量数据,通过Leica ScanStation P40对校园进行三维激光点云数据采集,并结合Cyclone中的去噪模型对点云数据进行去噪,利用“六自由度”方法和ID号对标靶进行拟合,在一定约束条件下完成点云数据的坐标匹配、拼接以及优化,得到统一坐标系下的点云数据。结果表明:优化后的点云数据精度可达到6 mm。可见处理后的点云数据能够满足数字校园地形图的高精度要求。     

基于实景激光扫描技术的室内导航系统的建立

随着城市化进程的发展,人们在室内的时间越来越多,室内空间的应用价值也越来越高。在智慧城市的发展过程中,大量的室内空间需要数字化,室内空间数据的获取手段和数据应用需要进一步挖掘。本文利用三维实景激光扫描仪对北方工业大学浩学楼进行数据采集,创建了实景展示和实景导航,重点介绍了M3扫描车获取点云数据,并将点云数据进行拼接、去噪等处理,最后分析了点云数据的精度。由此可以得出实景激光扫描技术在建立室内导航系统中的可行性、高效性和准确性。     

我国主要育珠贝(蚌)贝壳珍珠层的扫描电子显微镜研究

采用扫描电子显微镜（SEM）对我国海水马氏珍珠贝Pinctada martensi(Dunker），大珠母贝Pinctada maxima(Jameson）、企鹅珍珠贝Pteria penguin(Roeding）和淡水三角帆蚌Hy-riopsis cumingii（Lea）贝壳珍珠层内层面的形貌特征进行了研究，结果表明，4种贝壳珍珠层均呈砖墙式结构，珍珠层中文五笔型小板片呈不规则多边形至六边形，直径为1.3-4.5μm，厚度0.35-0.85μm，同一种类贝壳中文石小板片的形状及粒径均匀一致，反映了生物矿物化的特殊性。珍珠层沿壳内层面与棱柱层过滤带中均存在初始生长的文石小晶体结构排列较混乱的现象，与成熟珍珠层中文石小板片的定向排列结构明显不同。     

东海三叶原甲藻的形态特征及其ITS序列分析

报道了首次分离于东海海域的三叶原甲藻(Prorocentrum triestinum Schiller)藻株号(LAMB100721),通过利用光学显微镜、荧光显微镜、扫描电镜及分子生物学方法,对其形态特征、显微结构和分子系统进化进行了详尽描述和鉴定。细胞长卵形或披针形,后端细长且尖,前端圆,最宽部位于细胞中央。顶刺长而显,三角状。壳面光滑,无刺或突起物。刺丝胞孔稀疏而不规则地分布于壳面边缘。叶绿体无具体形状,分布于整个细胞中,细胞核球形,位于中下部。老化的细胞可见细胞边缘的间接带,且间接带表面光滑。细胞长为19~25 μm,平均值为(22.6±0.9)μm;宽为11~16 μm,平均值为(13.2±1.1) μm。所测目标藻株的rDNA ITS序列长度为569 bp,其中GC含量为47.6%。三叶原甲藻系赤潮种,为东海原甲藻春季大规模赤潮的伴随种。加强有害赤潮的预防和监测工作是减少危害的有效途径,而对赤潮原因种的准确识别和鉴定则是基础和关键。