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Development of vehicle-recognition method on water surfaces using LiDAR data:SPD^(2)(spherically stratified point projection with diameter and distance)
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作者 Eon-ho Lee Hyeon Jun Jeon +2 位作者 Jinwoo Choi Hyun-Taek Choi Sejin Lee 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2024年第6期95-104,共10页
Swarm robot systems are an important application of autonomous unmanned surface vehicles on water surfaces.For monitoring natural environments and conducting security activities within a certain range using a surface ... Swarm robot systems are an important application of autonomous unmanned surface vehicles on water surfaces.For monitoring natural environments and conducting security activities within a certain range using a surface vehicle,the swarm robot system is more efficient than the operation of a single object as the former can reduce cost and save time.It is necessary to detect adjacent surface obstacles robustly to operate a cluster of unmanned surface vehicles.For this purpose,a LiDAR(light detection and ranging)sensor is used as it can simultaneously obtain 3D information for all directions,relatively robustly and accurately,irrespective of the surrounding environmental conditions.Although the GPS(global-positioning-system)error range exists,obtaining measurements of the surface-vessel position can still ensure stability during platoon maneuvering.In this study,a three-layer convolutional neural network is applied to classify types of surface vehicles.The aim of this approach is to redefine the sparse 3D point cloud data as 2D image data with a connotative meaning and subsequently utilize this transformed data for object classification purposes.Hence,we have proposed a descriptor that converts the 3D point cloud data into 2D image data.To use this descriptor effectively,it is necessary to perform a clustering operation that separates the point clouds for each object.We developed voxel-based clustering for the point cloud clustering.Furthermore,using the descriptor,3D point cloud data can be converted into a 2D feature image,and the converted 2D image is provided as an input value to the network.We intend to verify the validity of the proposed 3D point cloud feature descriptor by using experimental data in the simulator.Furthermore,we explore the feasibility of real-time object classification within this framework. 展开更多
关键词 Object classification Clustering 3D point cloud data lidar(light detection and ranging) Surface vehicle
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Rail-Pillar Net:A 3D Detection Network for Railway Foreign Object Based on LiDAR
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作者 Fan Li Shuyao Zhang +2 位作者 Jie Yang Zhicheng Feng Zhichao Chen 《Computers, Materials & Continua》 SCIE EI 2024年第9期3819-3833,共15页
Aiming at the limitations of the existing railway foreign object detection methods based on two-dimensional(2D)images,such as short detection distance,strong influence of environment and lack of distance information,w... Aiming at the limitations of the existing railway foreign object detection methods based on two-dimensional(2D)images,such as short detection distance,strong influence of environment and lack of distance information,we propose Rail-PillarNet,a three-dimensional(3D)LIDAR(Light Detection and Ranging)railway foreign object detection method based on the improvement of PointPillars.Firstly,the parallel attention pillar encoder(PAPE)is designed to fully extract the features of the pillars and alleviate the problem of local fine-grained information loss in PointPillars pillars encoder.Secondly,a fine backbone network is designed to improve the feature extraction capability of the network by combining the coding characteristics of LIDAR point cloud feature and residual structure.Finally,the initial weight parameters of the model were optimised by the transfer learning training method to further improve accuracy.The experimental results on the OSDaR23 dataset show that the average accuracy of Rail-PillarNet reaches 58.51%,which is higher than most mainstream models,and the number of parameters is 5.49 M.Compared with PointPillars,the accuracy of each target is improved by 10.94%,3.53%,16.96%and 19.90%,respectively,and the number of parameters only increases by 0.64M,which achieves a balance between the number of parameters and accuracy. 展开更多
关键词 Railway foreign object light detection and ranging(lidar) 3D object detection PointPillars parallel attention mechanism transfer learning
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Predicting the provisioning potential of forest ecosystem services using airborne laser scanning data and forest resource maps 被引量:2
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作者 Jari Vauhkonen 《Forest Ecosystems》 SCIE CSCD 2018年第3期325-343,共19页
Background: Remote sensing-based mapping of forest Ecosystem Service(ES) indicators has become increasingly popular. The resulting maps may enable to spatially assess the provisioning potential of ESs and prioritize t... Background: Remote sensing-based mapping of forest Ecosystem Service(ES) indicators has become increasingly popular. The resulting maps may enable to spatially assess the provisioning potential of ESs and prioritize the land use in subsequent decision analyses. However, the mapping is often based on readily available data, such as land cover maps and other publicly available databases, and ignoring the related uncertainties.Methods: This study tested the potential to improve the robustness of the decisions by means of local model fitting and uncertainty analysis. The quality of forest land use prioritization was evaluated under two different decision support models: either using the developed models deterministically or in corporation with the uncertainties of the models.Results: Prediction models based on Airborne Laser Scanning(ALS) data explained the variation in proxies of the suitability of forest plots for maintaining biodiversity, producing timber, storing carbon, or providing recreational uses(berry picking and visual amenity) with RMSEs of 15%–30%, depending on the ES. The RMSEs of the ALS-based predictions were 47%–97%of those derived from forest resource maps with a similar resolution. Due to applying a similar field calibration step on both of the data sources, the difference can be attributed to the better ability of ALS to explain the variation in the ES proxies.Conclusions: Despite the different accuracies, proxy values predicted by both the data sources could be used for a pixel-based prioritization of land use at a resolution of 250 m~2, i.e., in a considerably more detailed scale than required by current operational forest management. The uncertainty analysis indicated that maps of the ES provisioning potential should be prepared separately based on expected and extreme outcomes of the ES proxy models to fully describe the production possibilities of the landscape under the uncertainties in the models. 展开更多
关键词 Forestry decision making Spatial prioritization light detection and ranging(lidar) Remote sensing
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Laser diode drive method with narrow-width and high-peak current for multi-line LIDAR 被引量:2
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作者 LI Xu DUAN Fa-jie +3 位作者 MA Ling WANG Xian-quan JIANG Jia-jia FU Xiao 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2019年第3期246-253,共8页
Light detection and ranging (LIDAR) based on time of flight (TOF) method is widely used in many fields related to distance measurement. LIDAR generally uses laser diode (LD) to emit the pulsed laser with high peak pow... Light detection and ranging (LIDAR) based on time of flight (TOF) method is widely used in many fields related to distance measurement. LIDAR generally uses laser diode (LD) to emit the pulsed laser with high peak power and short duration to ensure a large distance measurement range and eye safety. To achieve this goal, we propose a pulsed LD drive method producing the drive current with high peak and narrow pulse width. We analyze the key issues and related theories of the drive current generation based on this method and design an LD driver. A model of drive current generation is established and the influence of operating frequency on drive current is discussed. The LD driver is simulated by software and verified by experiments. The working frequency of the driver changes from 20 kHz to 100 kHz and the charging voltage is set at 130 V. The current produced by this driver has a duration of 8.8 ns and a peak of about 35 A, and the peak output optical power of the LD exceeds 75 W. 展开更多
关键词 light detection and ranging(lidar) distance measurement laser diode (LD) driver pulsed current
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Effects of laser beam divergence angle on airborne LIDAR positioning errors 被引量:1
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作者 姜利芳 蓝天 +1 位作者 顾美霞 倪国强 《Journal of Beijing Institute of Technology》 EI CAS 2012年第2期278-284,共7页
The influence of laser beam divergence angle on the positioning accuracy of scanning airborne light detection and ranging (LIDAR) is analyzed and simulated. Based on the data process and positioning principle of air... The influence of laser beam divergence angle on the positioning accuracy of scanning airborne light detection and ranging (LIDAR) is analyzed and simulated. Based on the data process and positioning principle of airborne LIDAR, the errors from pulse broadening induced by laser beam di vergence angle are modeled and qualitatively analyzed for different terrain surfaces. Simulated results of positioning errors and suggestions to reduce them are given for the flat surface, the downhill of slope surface, and the uphill surface. 展开更多
关键词 Kairborne light detection and ranging lidar positioning error laser beam divergenceangle slope angle scan angle
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Mapping tree canopies in urban environments using airborne laser scanning (ALS):a Vancouver case study 被引量:3
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作者 Giona Matasci Nicholas C.Coops +1 位作者 David A.R.Williams Nick Page 《Forest Ecosystems》 SCIE CSCD 2018年第4期429-437,共9页
Background: The distribution of forest vegetation within urban environments is critically important as it influences urban environmental conditions and the energy exchange through the absorption of solar radiation and... Background: The distribution of forest vegetation within urban environments is critically important as it influences urban environmental conditions and the energy exchange through the absorption of solar radiation and modulation of evapotranspiration. It also plays an important role filtering urban water systems and reducing storm water runoff.Methods: We investigate the capacity of ALS data to individually detect, map and characterize large(taller than15 m) trees within the City of Vancouver. Large trees are critical for the function and character of Vancouver’s urban forest. We used an object-based approach for individual tree detection and segmentation to determine tree locations(position of the stem), to delineate the shape of the crowns and to categorize the latter either as coniferous or deciduous.Results: Results indicate a detection rate of 76.6% for trees > 15 m with a positioning error of 2.11 m(stem location). Extracted tree heights possessed a RMSE of 2.60 m and a bias of-1.87 m, whereas crown diameter was derived with a RMSE of 3.85 m and a bias of-2.06 m. Missed trees are principally a result of undetected treetops occurring in dense, overlapping canopies with more accurate detection and delineation of trees in open areas.Conclusion: By identifying key structural trees across Vancouver’s urban forests, we can better understand their role in providing ecosystem goods and services for city residents. 展开更多
关键词 Urban forest Large trees light detection and ranging airborne laser scanning
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On the potential to predetermine dominant tree species based on sparse-density airborne laser scanning data for improving subsequent predictions of species-specific timber volumes 被引量:1
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作者 Janne Raty Jari Vauhkonen +1 位作者 Matti Maltamo Timo Tokola 《Forest Ecosystems》 SCIE CSCD 2016年第2期95-111,共17页
Background: Tree species recognition is the main bottleneck in remote sensing based inventories aiming to produce an input for species-specific growth and yield models. We hypothesized that a stratification of the ta... Background: Tree species recognition is the main bottleneck in remote sensing based inventories aiming to produce an input for species-specific growth and yield models. We hypothesized that a stratification of the target data according to the dominant species could improve the subsequent predictions of species-specific attributes in particular in study areas strongly dominated by certain species. Methods: We tested this hypothesis and an operational potential to improve the predictions of timber volumes, stratified to Scots pine, Norway spruce and deciduous trees, in a conifer forest dominated by the pine species. We derived predictor features from airborne laser scanning (ALS) data and used Most Similar Neighbor (MSN) and Seemingly Unrelated Regression (SUR) as examples of non-parametric and parametric prediction methods, respectively Results: The relationships between the ALS features and the volumes of the aforementioned species were considerably different depending on the dominant species. Incorporating the observed dominant species inthe predictions improved the root mean squared errors by 13.3-16.4 % and 12.6-28.9 % based on MSN and SUR, respectively, depending on the species. Predicting the dominant species based on a linear discriminant analysis had an overall accuracy of only 76 % at best, which degraded the accuracies of the predicted volumes. Consequently, the predictions that did not consider the dominant species were more accurate than those refined with the predicted species. The MSN method gave slightly better results than models fitted with SUR. Conclusions: According to our results, incorporating information on the dominant species has a clear potential to improve the subsequent predictions of species-specific forest attributes. Determining the dominant species based solely on ALS data is deemed challenging, but important in particular in areas where the species composition is otherwise seemingly homogeneous except being dominated by certain species. 展开更多
关键词 Forest inventory light detection and ranging lidar Area-based approach Nearest neighbor estimation Crown base height Intensity Volume model
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Segments-based progressive TIN densification filter for DTM generation from airborne LIDAR data 被引量:1
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作者 许颖 Qiu Zhiwei Yue Dongjie 《High Technology Letters》 EI CAS 2017年第1期16-22,共7页
Airborne light detection and ranging( LIDAR) has revolutionized conventional methods for digital terrain models( DTMs) acquisition. Ground filtering for airborne LIDAR is one of the core steps taken to obtain a high q... Airborne light detection and ranging( LIDAR) has revolutionized conventional methods for digital terrain models( DTMs) acquisition. Ground filtering for airborne LIDAR is one of the core steps taken to obtain a high quality DTM. This paper presents a segments-based progressive TIN( triangulated irregular network) densification( SPTD) filter that can automatically separate ground points from non-ground points. The SPTD method is composed of two key steps: point cloud segmentation and clustering by iterative judgement. The clustering method uses the dual distance to obtain a set of seed points as a coarse spatial clustering process. Then the rest of the valid point clouds are classified iteratively. Finally,the datasets provided by ISPRS are utilized to test the filtering performance.In comparison with the commercial software Terra Solid,the experimental results show that the SPTD method in this paper can avoid single threshold restrictions. The expected accuracy of ground point determination is capable of producing reliable DTMs in the discontinuous areas. 展开更多
关键词 airborne light detection and ranging lidar point cloud ground filtering tri-angulated irregular network (TIN) digital terrain models (DTMs)
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林区机载LiDAR点云的多分辨率层次布料模拟滤波 被引量:1
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作者 蔡尚书 庞勇 《遥感信息》 CSCD 北大核心 2024年第1期26-34,共9页
针对现有机载LiDAR(light detection and ranging)点云滤波方法在地形起伏剧烈的林区适用性不足的问题,提出一种多分辨率层次布料模拟滤波方法。首先,通过多尺度形态学开运算选择大量种子地面点;然后,基于种子地面点,使用布料模拟法由... 针对现有机载LiDAR(light detection and ranging)点云滤波方法在地形起伏剧烈的林区适用性不足的问题,提出一种多分辨率层次布料模拟滤波方法。首先,通过多尺度形态学开运算选择大量种子地面点;然后,基于种子地面点,使用布料模拟法由低至高逐层构建参考地形,以快速获取高分辨率参考地形;最后,基于点至参考地形的高差区分地面点和非地面点。利用国际摄影测量和遥感学会提供的数据集和参考方法,评估该方法性能。利用在中国、美国多个代表性林区的点云数据,评估该方法的可推广性。结果表明,该方法的Kappa系数和运行时间是83.72%和34.11 s,精度和效率较经典布料模拟滤波方法提高10.49%和52.17%。相比8种参考方法,该方法能够获得更高精度,并且具有稳定的可推广性。 展开更多
关键词 机载lidar数据 林区 滤波 形态学 布料模拟
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Multi-Scale Feature Extraction for Joint Classification of Hyperspectral and LiDAR Data
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作者 Yongqiang Xi Zhen Ye 《Journal of Beijing Institute of Technology》 EI CAS 2023年第1期13-22,共10页
With the development of sensors,the application of multi-source remote sensing data has been widely concerned.Since hyperspectral image(HSI)contains rich spectral information while light detection and ranging(LiDAR)da... With the development of sensors,the application of multi-source remote sensing data has been widely concerned.Since hyperspectral image(HSI)contains rich spectral information while light detection and ranging(LiDAR)data contains elevation information,joint use of them for ground object classification can yield positive results,especially by building deep networks.Fortu-nately,multi-scale deep networks allow to expand the receptive fields of convolution without causing the computational and training problems associated with simply adding more network layers.In this work,a multi-scale feature fusion network is proposed for the joint classification of HSI and LiDAR data.First,we design a multi-scale spatial feature extraction module with cross-channel connections,by which spatial information of HSI data and elevation information of LiDAR data are extracted and fused.In addition,a multi-scale spectral feature extraction module is employed to extract the multi-scale spectral features of HSI data.Finally,joint multi-scale features are obtained by weighting and concatenation operations and then fed into the classifier.To verify the effective-ness of the proposed network,experiments are carried out on the MUUFL Gulfport and Trento datasets.The experimental results demonstrate that the classification performance of the proposed method is superior to that of other state-of-the-art methods. 展开更多
关键词 hyperspectral image(HSI) light detection and ranging(lidar) multi-scale feature classification
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3-D Reconstruction and Visualization of Laser-Scanned Trees by Weighted Locally Optimal Projection and Accurate Modeling Method
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作者 TAMAYO Alexis LI Minglei +1 位作者 LIU Qin ZHANG Meng 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2022年第S01期135-142,共8页
This paper presents a method to reconstruct 3-D models of trees from terrestrial laser scan(TLS)point clouds.This method uses the weighted locally optimal projection(WLOP)and the AdTree method to reconstruct detailed ... This paper presents a method to reconstruct 3-D models of trees from terrestrial laser scan(TLS)point clouds.This method uses the weighted locally optimal projection(WLOP)and the AdTree method to reconstruct detailed 3-D tree models.To improve its representation accuracy,the WLOP algorithm is introduced to consolidate the point cloud.Its reconstruction accuracy is tested using a dataset of ten trees,and the one-sided Hausdorff distances between the input point clouds and the resulting 3-D models are measured.The experimental results show that the optimal projection modeling method has an average one-sided Hausdorff distance(mean)lower by 30.74%and 6.43%compared with AdTree and AdQSM methods,respectively.Furthermore,it has an average one-sided Hausdorff distance(RMS)lower by 29.95%and 12.28%compared with AdTree and AdQSM methods.Results show that the 3-D model generated fits closely to the input point cloud data and ensures a high geometrical accuracy. 展开更多
关键词 light detection and ranging(lidar) point cloud weighted locally optimal projection(WLOP) 3-D reconstruction AdTree
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Three-channel CMOS transimpedance amplifier for LiDAR sensor receiver
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作者 LIU Ruqing ZHU Jingguo +3 位作者 JIANG Yan LI Feng JIANG Chenghao MENG Zhe 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2024年第1期74-80,共7页
For time-of-flight(TOF)light detection and ranging(LiDAR),a three-channel high-performance transimpedance amplifier(TIA)with high immunity to input load capacitance is presented.A regulated cascade(RGC)as the input st... For time-of-flight(TOF)light detection and ranging(LiDAR),a three-channel high-performance transimpedance amplifier(TIA)with high immunity to input load capacitance is presented.A regulated cascade(RGC)as the input stage is at the core of the complementary metal oxide semiconductor(CMOS)circuit chip,giving it more immunity to input photodiode detectors.A simple smart output interface acting as a feedback structure,which is rarely found in other designs,reduces the chip size and power consumption simultaneously.The circuit is designed using a 0.5μm CMOS process technology to achieve low cost.The device delivers a 33.87 dB?transimpedance gain at 350 MHz.With a higher input load capacitance,it shows a-3 dB bandwidth of 461 MHz,indicating a better detector tolerance at the front end of the system.Under a 3.3 V supply voltage,the device consumes 5.2 mW,and the total chip area with three channels is 402.8×597.0μm2(including the test pads). 展开更多
关键词 transimpedance amplifier(TIA) three-channel regulated cascade(RGC) light detection and ranging(lidar)
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机载LiDAR辅助下高压直流输电线路档侧弧垂检测方法研究
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作者 张天毅 刘茹 王静峰 《自动化仪表》 CAS 2024年第12期49-53,61,共6页
进行高压直流输电线路档侧弧垂检测时,由于未进行输电线路建模,导致检测精度较低。对此,提出机载激光探测及测距(LiDAR)系统辅助下高压直流输电线路档侧弧垂检测方法。首先,对采用机载LiDAR获取的高压直流输电线路点云数据进行离群点滤... 进行高压直流输电线路档侧弧垂检测时,由于未进行输电线路建模,导致检测精度较低。对此,提出机载激光探测及测距(LiDAR)系统辅助下高压直流输电线路档侧弧垂检测方法。首先,对采用机载LiDAR获取的高压直流输电线路点云数据进行离群点滤波处理。其次,通过高程阈值与格网高差提取滤波处理后的线路点云数据,以此建立高压直流输电线路模型。接着,通过高压直流输电线路模型、考虑不同工况的载荷条件,计算线路在不同工况下对应的许用应力与比载,以确定有效临界档距。最后,根据计算得到的应力结果,在高压输电线路模型上模拟档侧弧垂曲线。将模拟的档侧弧垂曲线与实际观测到的弧垂数据进行对比,以实现弧垂检测。试验结果表明,所提方法在不同工况下展开弧垂检测的误差均值控制在0.02以内。该方法具有实用性。 展开更多
关键词 机载激光探测及测距系统 高压直流输电线路 点云滤波 有效临界档距 弧垂检测
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三种技术策略的直升机LiDAR数据精度分析
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作者 李致东 胡伟 +5 位作者 刘伟东 王宁 马春田 李俊磊 李丹 赵邦博 《导航定位学报》 CSCD 北大核心 2024年第6期162-169,共8页
针对直升机机载激光雷达(LiDAR)设备定位定姿系统(POS)的全球卫星导航系统(GNSS)原始数据质量较差的问题,提出一种提高质量较差的机载GNSS原始数据解算后精度的方法:采用多(单)基站融合技术(IFMSB)、融合智能基站技术(IFSB)、后处理实... 针对直升机机载激光雷达(LiDAR)设备定位定姿系统(POS)的全球卫星导航系统(GNSS)原始数据质量较差的问题,提出一种提高质量较差的机载GNSS原始数据解算后精度的方法:采用多(单)基站融合技术(IFMSB)、融合智能基站技术(IFSB)、后处理实时扩展技术(PP-RTX)3种策略的解算方法,从航迹位置精度、收敛情况及点云精度等方面进行探讨。实验结果表明:在机载GNSS数据质量较差的情况下,直升机机载激光雷达设备和无人机机载激光雷达设备进行激光扫描作业时,多(单)基站融合技术(IFMSB)方法解算的数据精度较高;并经外业实测点检测,该方法点云数据绝对位置东向中误差0.16 m,北向中误差0.05 m,天向中误差0.06 m,能够满足后期拓展应用对数据精度的要求。 展开更多
关键词 多(单)基站融合技术(IFMSB) 融合智能基站技术(IFSB) 后处理实时扩展技术(PP-RTX) 机载全球卫星导航系统(GNSS)数据 直升机激光雷达(lidar)数据 精度分析
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基于无人机载LiDAR点云数据的电力线提取方法
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作者 黄智伟 张俊峰 温周斌 《北京测绘》 2024年第10期1454-1458,共5页
机载激光雷达(LiDAR)点云电力线提取过程中存在杆塔形状复杂、噪声影响大等问题,导致电力线点云提取精度低,本文提出一种基于点云分块处理、格网划分的曲面拟合滤波、自适应密度聚类算法的电力线点云提取与重建方法。首先,根据电力线走... 机载激光雷达(LiDAR)点云电力线提取过程中存在杆塔形状复杂、噪声影响大等问题,导致电力线点云提取精度低,本文提出一种基于点云分块处理、格网划分的曲面拟合滤波、自适应密度聚类算法的电力线点云提取与重建方法。首先,根据电力线走向,对整体点云进行分块处理;其次,在曲面拟合算法的基础上,引入格网划分思想,提出一种改进曲面拟合滤波算法并进行点云滤波;最后,通过给出自适应密度聚类解决方案精确提取电力线点云。借助点云库(PCL)、libLAS库与Visual Studio 2017 C++开发环境实现本文算法,基于实测点云数据对本文方法进行测试与精度评定。结果表明:电力线提取精确率为97.82%、召回率为99.76%、F1值为98.78%,一次便可实现电力线的成功提取,在保证提取精度的同时提升了提取效率,本文研究能够为电力线智能巡检提供良好的工程应用价值。 展开更多
关键词 机载lidar点云 电力线提取 改进滤波算法 自适应密度聚类 精度评定
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无人机载LiDAR点云滤波算法研究
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作者 程绮霞 罗碧娟 《北京测绘》 2024年第11期1541-1546,共6页
针对经典渐进三角网加密(PTD)滤波算法在选择地面种子点时存在随机性,导致点云滤波精度受限的问题,本文提出了一种改进渐进三角网加密(IPTD)滤波算法。在机载点云滤波的实现中,该算法的关键流程包含:首先,采用扩展局部极小值法,在格网... 针对经典渐进三角网加密(PTD)滤波算法在选择地面种子点时存在随机性,导致点云滤波精度受限的问题,本文提出了一种改进渐进三角网加密(IPTD)滤波算法。在机载点云滤波的实现中,该算法的关键流程包含:首先,采用扩展局部极小值法,在格网内进行深度搜索,精确识别出极小值点,将其作为潜在的地面种子点,从而解决了传统算法中直接将格网内最低点作为地面种子点的问题;其次,采用局部薄板样条函数(TPS)插值法,对格网的高程数据进行高精确度的拟合和计算;最后,基于筛选出的优质种子点,构建不规则三角网(TIN),从而实现点云的精确分类。为了验证本文提出的改进滤波算法的效果,通过设置对比实验,对本文提出的改进滤波算法与传统滤波算法的实验结果进行对比,结果表明,本文提出的改进滤波算法在提升点云滤波精度方面表现出了显著的优势。 展开更多
关键词 机载激光雷达(lidar) 点云滤波 渐进三角网加密(PTD)滤波 薄板样条函数(TPS)
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无人机LiDAR免控制测量技术在1∶10000 DEM更新中的应用
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作者 王辉 李宝 方庆晨 《城市勘测》 2024年第5期150-154,共5页
在安徽省1∶10000基础地理信息数据更新工程DEM局部更新工作中,针对外业中控制点布设工作量大、难度高的特点,研究无人机LiDAR测量技术生产DEM的免控制技术方法,利用激光点云分类结果中提取的可靠地面点,建立高程拟合模型,拟合转换点云... 在安徽省1∶10000基础地理信息数据更新工程DEM局部更新工作中,针对外业中控制点布设工作量大、难度高的特点,研究无人机LiDAR测量技术生产DEM的免控制技术方法,利用激光点云分类结果中提取的可靠地面点,建立高程拟合模型,拟合转换点云高程,生产DEM。并与传统通过实测控制点进行点云高程拟合生产的DEM成果精度比较。研究结果表明:利用免控制技术方法生产的DEM精度可以满足安徽省1∶10000 DEM更新要求。 展开更多
关键词 激光雷达点云 数字高程模型 无人机 可靠地面点
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无需阈值支持的机载LiDAR点云数据滤波方法 被引量:12
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作者 董保根 秦志远 +1 位作者 陈静 徐验兵 《计算机工程与应用》 CSCD 2013年第15期219-223,248,共6页
点云数据滤波仍旧是现阶段机载LiDAR数据后处理的首要步骤,但其发展尚未完全成熟。在回顾和总结已有滤波算法的基础上,将统计学中偏度与峰度的概念引入到算法中,提出了一种新的基于偏度平衡的地面点与非地面点非监督分类方法,利用统计... 点云数据滤波仍旧是现阶段机载LiDAR数据后处理的首要步骤,但其发展尚未完全成熟。在回顾和总结已有滤波算法的基础上,将统计学中偏度与峰度的概念引入到算法中,提出了一种新的基于偏度平衡的地面点与非地面点非监督分类方法,利用统计矩原理从LiDAR点云数据生成的DSM中有效地提取DTM。该方法区别传统算法的最大的优势在于无需参数或者阈值支持,并且相对于LiDAR点云数据的格式和分辨率是独立的。实验结果证明,该方法切实可行,具有较强的适应性,并且能够较好地满足精度要求。 展开更多
关键词 机载光探测与测量(lidar) 滤波 偏度 阈值 非监督分类
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多级移动曲面拟合LIDAR数据滤波算法 被引量:44
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作者 苏伟 孙中平 +3 位作者 赵冬玲 孙崇利 张超 杨建宇 《遥感学报》 EI CSCD 北大核心 2009年第5期827-839,共13页
为提高城市区LIDAR数据滤波精度,提出了一种多级移动曲面拟合滤波方法。建立区块网格搜寻及索引机制完成对离散LIDAR点云的标示;通过建立二次多项式完成参考曲面的拟合,不同窗口大小获得不同层次的拟合曲面;设置自适应阈值,完成地面点... 为提高城市区LIDAR数据滤波精度,提出了一种多级移动曲面拟合滤波方法。建立区块网格搜寻及索引机制完成对离散LIDAR点云的标示;通过建立二次多项式完成参考曲面的拟合,不同窗口大小获得不同层次的拟合曲面;设置自适应阈值,完成地面点与非地面点的判断。精度评价结果表明,该滤波算法误差在1m以内,能够满足实际应用的需求。 展开更多
关键词 多级移动曲面拟合 lidar数据 滤波 二次多项式 自适应阈值
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结合影像和LiDAR点云数据的水体轮廓线提取方法 被引量:9
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作者 王宗跃 马洪超 +1 位作者 徐宏根 彭检贵 《计算机工程与应用》 CSCD 北大核心 2009年第21期33-36,共4页
从遥感影像中提取水体的传统方法在阴影处和水体浑浊处存在一定局限;机载激光雷达(LiDAR)获取点云数据时水体受阴影和浑浊的影响小,因此使用点云数据提取水体比使用影像数据更加稳健;但点云数据的分辨率低,所提取的轮廓线精度不高。为... 从遥感影像中提取水体的传统方法在阴影处和水体浑浊处存在一定局限;机载激光雷达(LiDAR)获取点云数据时水体受阴影和浑浊的影响小,因此使用点云数据提取水体比使用影像数据更加稳健;但点云数据的分辨率低,所提取的轮廓线精度不高。为了提高水体边缘轮廓线的精确度,提出一种高分辨率影像与点云数据相结合的水体轮廓线提取方法。实验结果表明,该方法所提取的水体轮廓线定位精确、细节完好,水体提取准确率达到98.6%。 展开更多
关键词 机载激光雷达 水体 轮廓线 种子填充
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