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学者姓名：唐丽玉
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Abstract ：
城市绿地具有生态、景观和社会等多种服务功能,是健康城市环境的关键因素.街道绿地影响着步行环境的质量,是衡量步行舒适性的重要指标.绿视率为从人本视角量化绿化环境的描述因子.针对当前可步行性评价较少考虑步行环境这一问题,在步行指数评价方法的基础上,基于路网、兴趣点、百度街景等大数据,以步行指数表征街道功能,以绿视率表征街道环境,对街道可步行性进行综合评价.以福州市中心城区进行实例研究,对比综合评价方法与步行指数评价方法,探讨其与人口活动数量的关系,并探索街道可步行性的影响因素.结果表明:福州市中心城区内的街道可步行性平均得分为58,街道可步行性较好,其中支路、住宅类街道的可步行性最高;整体上,综合评价方法与人口活动数量的正相关系数为0.313,较步行指数评价方法提高0.018;不同交通等级的街道绿化环境对可步行性有不同的影响,支路的绿视率水平与可步行性存在显著的正相关关系(r=0.135).
Keyword ：
可步行性 可步行性 步行指数 步行指数 绿视率 绿视率 街景 街景 街道绿地 街道绿地
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| GB/T 7714 | 唐丽玉 , 黄子晴 , 苏宏霖 . 顾及绿视率的街道可步行性评价 [J]. | 西部人居环境学刊 , 2025 , 40 (1) : 58-64 . |
| MLA | 唐丽玉 等. "顾及绿视率的街道可步行性评价" . | 西部人居环境学刊 40 . 1 (2025) : 58-64 . |
| APA | 唐丽玉 , 黄子晴 , 苏宏霖 . 顾及绿视率的街道可步行性评价 . | 西部人居环境学刊 , 2025 , 40 (1) , 58-64 . |
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根据图像特征线能够反映建筑物的结构信息的特点,提出了结合特征线的建筑物多视图三维重建方法.通过运动恢复结构和多视图立体视觉法获取多视图像的稠密点云、匹配特征点和相机姿态等信息;利用改进的LSD检测算法和线-节点-线算法提取图像特征线,获取特征线匹配关系;构造交比射影不变量,以匹配特征线上的特征点进行三维线段重建;将重建的三维线段进行等距离散化采样与稠密点云融合,采用Delaunay三角剖分算法重建表面网格模型.结果表明,该方法在重建建筑物三维线段和优化建筑物表面网格模型结构表达方面具有优势.
Keyword ：
三维重建 三维重建 多视图 多视图 建筑物 建筑物 特征线 特征线 运动恢复结构 运动恢复结构
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| GB/T 7714 | 刘雨钦 , 唐丽玉 , 郭泽宇 . 结合特征线的多视图建筑物三维重建 [J]. | 测绘与空间地理信息 , 2025 , 48 (3) : 103-106,110 . |
| MLA | 刘雨钦 等. "结合特征线的多视图建筑物三维重建" . | 测绘与空间地理信息 48 . 3 (2025) : 103-106,110 . |
| APA | 刘雨钦 , 唐丽玉 , 郭泽宇 . 结合特征线的多视图建筑物三维重建 . | 测绘与空间地理信息 , 2025 , 48 (3) , 103-106,110 . |
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Three-dimensional (3D) branch structures provide vital information for understanding tree phenotypic characteristics and for ecological studies related to carbon sequestration. Light detection and ranging (LiDAR) has been widely applied to capture the 3D structural information of individual trees. Wood-leaf separation and tree skeleton extraction are essential prerequisites for accurately estimating tree attributes (e.g., stem volume, aboveground biomass, and crown characteristics) and representing the tree branch network. Owing to the complex internal branch morphology and intercanopy component occlusion, precise extraction of the tree skeleton from point clouds remains a challenging issue. In this study, we propose an improved approach for extracting tree skeletons on the basis of the geometric features of point clouds. The approach consists of two steps: separation of the wood and leaves, followed by extraction of the tree skeleton. In the first step, the point clouds of the trees are sliced horizontally. The density-based spatial clustering of applications with noise (DBSCAN) algorithm is then employed to cluster each layer of the point clouds and detect the main trunk. Subsequently, random sample consensus (RANSAC) circle feature detection and linear feature constraints are applied to achieve wood-leaf separation. In the second step, the wood point clouds are used to extract the initial tree skeleton via a minimum spanning tree (MST), and the initial tree skeleton is further optimized. Various comparative experiments are conducted on terrestrial-LiDAR-scanned data from nine trees across six species. The results show that the proposed method performs effectively, with overall wood-leaf separation accuracies ranging from 86% to 93%. Additionally, the extracted branch skeleton accurately reflects the natural geometric structure of the trees. The wood points and tree skeletons are further used to estimate tree attributes, demonstrating the potential of our method for the quantitative representation of trees and their ecological characteristics (e.g., carbon sequestration).
Keyword ：
Geometric features Geometric features Skeleton extraction Skeleton extraction Terrestrial laser scanning Terrestrial laser scanning Tree structure Tree structure Wood-leaf separation Wood-leaf separation
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| GB/T 7714 | Gao, Jimiao , Tang, Liyu , Su, Honglin et al. Extraction of tree branch skeletons from terrestrial LiDAR point clouds [J]. | ECOLOGICAL INFORMATICS , 2024 , 85 . |
| MLA | Gao, Jimiao et al. "Extraction of tree branch skeletons from terrestrial LiDAR point clouds" . | ECOLOGICAL INFORMATICS 85 (2024) . |
| APA | Gao, Jimiao , Tang, Liyu , Su, Honglin , Chen, Jiwei , Yuan, Yuehui . Extraction of tree branch skeletons from terrestrial LiDAR point clouds . | ECOLOGICAL INFORMATICS , 2024 , 85 . |
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树荫是城市区域夏季降温的重要资源之一,对树荫资源的量化可为城市极端高温天气的风险预警提供帮助.现有估算树荫资源的方法中,实测法耗费时间且成效较低,影像识别法难以精确反映树荫的时空变化,本文提出一种基于三维场景的树荫模拟与量化方法.通过三维重建技术模拟城市街道场景,区分并标识地理实体模型的类型;根据太阳几何位置参数信息,构建与实地场景同步的光照环境;根据光线直线传播和阴影形成原理,利用射线求交算法判断太阳光线与场景三维模型的遮挡情况,生成树荫并与其他地物阴影进行区分;量化树荫面积、树荫覆盖时长等数据,并在三维场景中进行可视化效果呈现.通过与无人机拍摄的阴影对比验证,相对误差区间为3.35％～13.27％,平均相对误差为9.29％,该方法在树荫资源估算方面有应用潜力.同时,以城市街道场景为例,模拟量化了不同空间朝向、不同树种、不同樟树生命周期的街道树荫资源情况并进行相应分析.该方法可以模拟任意时刻现实的和虚拟的(未来的或规划的)情景的阴影资源的时空分布情况,且可以进行分类统计,为城市规划管理提供参考,为城市树木降温效应分析提供基础数据.
Keyword ：
三维模拟 三维模拟 城市绿地 城市绿地 树荫 树荫 虚拟地理环境 虚拟地理环境 遮荫效应 遮荫效应
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| GB/T 7714 | 苏宏霖 , 唐丽玉 , 陈季委 et al. 三维场景树荫模拟与量化 [J]. | 地球信息科学学报 , 2024 , 26 (11) : 2493-2505 . |
| MLA | 苏宏霖 et al. "三维场景树荫模拟与量化" . | 地球信息科学学报 26 . 11 (2024) : 2493-2505 . |
| APA | 苏宏霖 , 唐丽玉 , 陈季委 , 高继淼 , 袁跃辉 . 三维场景树荫模拟与量化 . | 地球信息科学学报 , 2024 , 26 (11) , 2493-2505 . |
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树荫是城市区域夏季降温的重要资源之一，对树荫资源的量化可为城市极端高温天气的风险预警提供帮助。现有估算树荫资源的方法中，实测法耗费时间且成效较低，影像识别法难以精确反映树荫的时空变化，本文提出一种基于三维场景的树荫模拟与量化方法。通过三维重建技术模拟城市街道场景，区分并标识地理实体模型的类型；根据太阳几何位置参数信息，构建与实地场景同步的光照环境；根据光线直线传播和阴影形成原理，利用射线求交算法判断太阳光线与场景三维模型的遮挡情况，生成树荫并与其他地物阴影进行区分；量化树荫面积、树荫覆盖时长等数据，并在三维场景中进行可视化效果呈现。通过与无人机拍摄的阴影对比验证，相对误差区间为3.35%～13.27%，平均相对误差为9.29%，该方法在树荫资源估算方面有应用潜力。同时，以城市街道场景为例，模拟量化了不同空间朝向、不同树种、不同樟树生命周期的街道树荫资源情况并进行相应分析。该方法可以模拟任意时刻现实的和虚拟的（未来的或规划的）情景的阴影资源的时空分布情况，且可以进行分类统计，为城市规划管理提供参考，为城市树木降温效应分析提供基础数据。
Keyword ：
三维模拟 三维模拟 城市绿地 城市绿地 树荫 树荫 虚拟地理环境 虚拟地理环境 遮荫效应 遮荫效应
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| GB/T 7714 | 苏宏霖 , 唐丽玉 , 陈季委 et al. 三维场景树荫模拟与量化——以城市街道为例 [J]. | 地球信息科学学报 , 2024 , 26 (11) : 2493-2505 . |
| MLA | 苏宏霖 et al. "三维场景树荫模拟与量化——以城市街道为例" . | 地球信息科学学报 26 . 11 (2024) : 2493-2505 . |
| APA | 苏宏霖 , 唐丽玉 , 陈季委 , 高继淼 , 袁跃辉 . 三维场景树荫模拟与量化——以城市街道为例 . | 地球信息科学学报 , 2024 , 26 (11) , 2493-2505 . |
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准确高效地提取人工林林木参数可为估算单木材积、林分蓄积量提供关键信息。本文提出基于机载LiDAR数据的高精度单木参数提取方法，其实现过程包括数据预处理、地面滤波、单木分割和参数提取。以福建省沙县官庄国有林场的福建柏大径材人工林为试验区，采集高密度机载点云数据，对点云进行去噪、重采样等预处理。使用布料滤波算法(CSF)分离出植被点云和地面点云，并采用Delaunay三角网法将植被点云数据插值生成数字表面模型(DSM),采用反距离加权插值法将地面点云数据插值生成数字高程模型(DEM),两者作差运算获得冠层高度模型(CHM)。利用分水岭分割算法分析不同分辨率的CHM对单木分割及参数提取精度的影响。采用点云距离聚类算法对归一化植被点云进行单木分割，分析不同的距离阈值对单木分割及参数提取精度的影响。结果表明：使用分水岭分割算法处理0.3 m分辨率CHM单木分割调和值最高，达到91.1%,提取的树高精度较优，决定系数(R~2)达到0.967,均方根误差(RMSE)为0.890 m;使用间距阈值为平均冠幅的点云分割算法单木分割调和值最高，达到91.3%,提取的冠幅精度较优，R~2为0.937,RMSE为0.418 m。估算该试验区的树高、冠幅、株数和树木的空间分布等信息发现：共有福建柏5994株，平均树高为16.63 m,平均冠幅为3.98 m;树高在15～20 m区间的数量最多，有2661株，其次是10～15 m。本林木参数提取方法可为人工林资源监测和管理提供技术支撑。
Keyword ：
人工林 人工林 单木分割 单木分割 机载LiDAR 机载LiDAR 林木参数提取 林木参数提取
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| GB/T 7714 | 姜泽 , 陈杰 , 唐丽玉 et al. 基于机载LiDAR数据的福建柏人工林林木参数提取 [J]. | 应用生态学报 , 2024 , 35 (02) : 321-329 . |
| MLA | 姜泽 et al. "基于机载LiDAR数据的福建柏人工林林木参数提取" . | 应用生态学报 35 . 02 (2024) : 321-329 . |
| APA | 姜泽 , 陈杰 , 唐丽玉 , 虞灿 , 谢汝根 , 黄丹泠 et al. 基于机载LiDAR数据的福建柏人工林林木参数提取 . | 应用生态学报 , 2024 , 35 (02) , 321-329 . |
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Urban green space equity relates to the efficient allocation of natural resources and the equalization of public service facilities. Street (road) greenery provides substantial ecological, social and cultural benefits. Thus, in this study, a subdistrict-level evaluation framework for the fairness of the spatial distribution of street greenery was proposed, taking a case study within the Third Ring Road of Fuzhou City in Fujian, China. Street view images may capture the green information in a vertical dimension for the indirect representation of people's perspective on the ground. The green view index, which was estimated based on Baidu Street View images, was employed to represent the urban street greenery, and the results were combined using deep learning technology. The Gini coefficient, share index and location entropy were used as evaluation indicators for the fairness of the spatial distribution of the street green view index. Furthermore, this framework combined socioeconomic data and population census data to explore the correlation among socioeconomic status, age, and evaluation index at the subdistrict level. In addition, we analyzed street greenery distribution inequalities from the perspective of socioecological justice. The results showed that in Fuzhou, there is a significant correlation among the Gini coefficient, green view index and socioeconomic status. In addition, subdistricts with a lower green view index have a less equitable street greenery distribution, people with low socioeconomic status may suffer from green injustice, and seniors have a lower accessibility to street green space than people with the average social status. Our analytical approach is applicable for other cities, and the findings are useful for greenery spatial planning processes and evaluating construction effects.
Keyword ：
Bosch Bosch Deep learning Deep learning Green view index Green view index Socioecological justice Socioecological justice Street view images Street view images Urban greenery Urban greenery
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| GB/T 7714 | Huang, Ziqing , Tang, Liyu , Qiao, Peng et al. Socioecological justice in urban street greenery based on green view index-A case study within the Fuzhou Third Ring Road [J]. | URBAN FORESTRY & URBAN GREENING , 2024 , 95 . |
| MLA | Huang, Ziqing et al. "Socioecological justice in urban street greenery based on green view index-A case study within the Fuzhou Third Ring Road" . | URBAN FORESTRY & URBAN GREENING 95 (2024) . |
| APA | Huang, Ziqing , Tang, Liyu , Qiao, Peng , He, Jianguo , Su, Honglin . Socioecological justice in urban street greenery based on green view index-A case study within the Fuzhou Third Ring Road . | URBAN FORESTRY & URBAN GREENING , 2024 , 95 . |
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Accurate and efficient extraction of tree parameters from plantations lay foundation for estimating individual wood volume and stand stocking. In this study, we proposed a method of extracting high-precision tree parameters based on airborne LiDAR data. The main process included data pre-processing, ground filtering, individual tree segmentation, and parameter extraction. We collected high-density airborne point cloud data from the large-diameter timber of Fokienia hodginsii plantation in Guanzhuang State Forestry Farm, Shaxian County, Fujian Province, and pre-processed the point cloud data by denoising, resampling and normalization. The vegetation point clouds and ground point clouds were separated by the Cloth Simulation Filter (CSF). The former data were interpolated using the Delaunay triangulation mesh method to generate a digital surface model (DSM), while the latter data were interpolated using the Inverse Distance Weighted to generate a digital elevation model (DEM). After that, we obtained the canopy height model (CHM) through the difference operation between the two, and analyzed the CHM with varying resolutions by the watershed algorithm on the accuracy of individual tree segmentation and parameter extraction. We used the point cloud distance clustering algorithm to segment the normalized vegetation point cloud into individual trees, and analyzed the effects of different distance thresholds on the accuracy of individual tree segmentation and parameter extraction. The results showed that the watershed algorithm for extracting tree height of 0.3 m resolution CHM had highest comprehensive evaluation index of 91.1% for individual tree segmentation and superior accuracy with R2 of 0.967 and RMSE of 0.890 m. When the spacing threshold of the point cloud segmentation algorithm was the average crown diameter, the highest comprehensive evaluation index of 91.3% for individual tree segmentation, the extraction accuracy of the crown diameter was superior, with R2 of 0.937 and RMSE of 0.418 m. Tree height, crown diameter, tree density, and spatial distribution of trees were estimated. There were 5994 F. hodginsii, with an average tree height of 16.63 m and crown diameter of 3.98 m. Trees with height of 15-20 m were the most numerous (a total of 2661), followed by those between 10-15 m. This method of forest parameter extraction was useful for monitoring and managing plantations. © 2024 Science Press. All rights reserved.
Keyword ：
airborne LiDAR data airborne LiDAR data forest parameter extraction forest parameter extraction individual tree segmentation individual tree segmentation plantation plantation
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| GB/T 7714 | Jiang, Z. , Chen, J. , Tang, L. et al. Tree parameter extraction in Fokienia hodginsii plantation based on airborne LiDAR data; [基于机载 LiDAR 数据的福建柏人工林林木参数提取] [J]. | Chinese Journal of Applied Ecology , 2024 , 35 (2) : 321-329 . |
| MLA | Jiang, Z. et al. "Tree parameter extraction in Fokienia hodginsii plantation based on airborne LiDAR data; [基于机载 LiDAR 数据的福建柏人工林林木参数提取]" . | Chinese Journal of Applied Ecology 35 . 2 (2024) : 321-329 . |
| APA | Jiang, Z. , Chen, J. , Tang, L. , Yu, C. , Xie, R. , Huang, D. et al. Tree parameter extraction in Fokienia hodginsii plantation based on airborne LiDAR data; [基于机载 LiDAR 数据的福建柏人工林林木参数提取] . | Chinese Journal of Applied Ecology , 2024 , 35 (2) , 321-329 . |
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针对多视图图像三维重建前,图像数据存在背景冗余且干扰目标对象识别以及重建效率低的问题,该文提出一种基于segment anything model(SAM)的改进前景自动分割方法.首先通过调用SAM图像编码器计算输入图像的图像嵌入;根据图像像素计算像素坐标作为提示嵌入,自动预测前景掩码;SAM前景预测所得的掩码可能存在细小的漏分错分和边缘锯齿,引入高斯滤波对掩码图像进行优化;以人工构筑物、植物及其植物器官为例,将掩码应用于原始图像,利用分割后的图像进行多视图立体视觉三维重建与神经辐射场重建.基于多种图像数据的实验结果表明,该方法针对以对象为中心的多种图像数据可以有效剔除背景的干扰,取得高质量的分割结果,且在三维重建过程能够节省重建所需时间,提高三维重建效率.
Keyword ：
SAM SAM 三维重建 三维重建 前景分割 前景分割 多视图 多视图 神经辐射场 神经辐射场
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| GB/T 7714 | 陈季委 , 唐丽玉 , 苏宏霖 . 面向三维重建的SAM前景图像自动分割方法研究 [J]. | 测绘科学 , 2024 , 49 (10) : 27-35 . |
| MLA | 陈季委 et al. "面向三维重建的SAM前景图像自动分割方法研究" . | 测绘科学 49 . 10 (2024) : 27-35 . |
| APA | 陈季委 , 唐丽玉 , 苏宏霖 . 面向三维重建的SAM前景图像自动分割方法研究 . | 测绘科学 , 2024 , 49 (10) , 27-35 . |
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Tree shade is an important resources for mitigating the effects of extreme heat in urban areas. Quantifying the extent of tree shade resources can assist in the prediction and risk assessment of high temperatures in cities. Among the existing methods for estimating tree shade resources, the measured method is time-consuming and ineffective, while the image identification method is difficult to accurately respond to the spatial and temporal changes of tree shade. In this paper, a method was proposed for simulating and quantifying tree shade based on a three-dimensional(3D) scene. We simulated the urban street scene by employing 3D reconstruction technology, distinguished different geographic entity models, utilising the sun's geometric position parameter and construct the corresponding lighting environment, and the shade in 3D scene was simulated according to the principle of linear propagation of light and shadow. The formation of tree shade is determined through the use of a ray intersection algorithm, which allows for the differentiation of sun rays within a 3D model of the shading situation. This process enables the generation and classification of tree shade, which can then be distinguished from shadows cast by their features. The attributes of tree shade (e.g., shade area and shade coverage duration facilitates)can be quantified and visualized in the 3D scene for intuitive representation. A comparison and verification of the shadows taken by the Unmanned Aerial Vehicle(UAV). The results of relative error range from 3.35% to 13.27%, with an average relative error of 9.29%. This method is potential for the estimation of shade tree resources. In addition, a case of shade resources of trees in an urban street scene was simulated and quantified, taking into account their spatial orientation, species and life cycle. The method enables the simulation of the spatial and temporal distribution of shadow resources for real and virtual scenarios (both future and planned) at any given moment. It can be classified and counted, thereby providing the potential service for urban planning and management, as well as fundamental data for the analysis of the cooling effects of urban trees. © 2024 Science Press. All rights reserved.
Keyword ：
3D modeling 3D modeling 3D reconstruction 3D reconstruction Digital elevation model Digital elevation model Risk assessment Risk assessment Risk perception Risk perception Trees (mathematics) Trees (mathematics) Unmanned aerial vehicles (UAV) Unmanned aerial vehicles (UAV) Urban planning Urban planning Virtual environments Virtual environments
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| GB/T 7714 | Su, Honglin , Tang, Liyu , Chen, Jiwei et al. Simulation and Quantification of Tree Shade in Three-Dimensional Scenes: A Case Study of Urban Street [J]. | Journal of Geo-Information Science , 2024 , 26 (11) : 2493-2505 . |
| MLA | Su, Honglin et al. "Simulation and Quantification of Tree Shade in Three-Dimensional Scenes: A Case Study of Urban Street" . | Journal of Geo-Information Science 26 . 11 (2024) : 2493-2505 . |
| APA | Su, Honglin , Tang, Liyu , Chen, Jiwei , Gao, Jimiao , Yuan, Yuehui . Simulation and Quantification of Tree Shade in Three-Dimensional Scenes: A Case Study of Urban Street . | Journal of Geo-Information Science , 2024 , 26 (11) , 2493-2505 . |
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