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City3D: Large-Scale Building Reconstruction from Airborne LiDAR Point Clouds

Jin Huang, Jantien Stoter, Ravi Peters, Liangliang Nan
2022 Remote Sensing  
A major challenge of urban reconstruction from airborne LiDAR point clouds lies in that the vertical walls are typically missing.  ...  Experiments on various large-scale airborne LiDAR point clouds have demonstrated that the method is superior to the state-of-the-art methods in terms of reconstruction accuracy and robustness.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs14092254 fatcat:n3oarocqe5eiddadeosa64ipne

INTEGRATING SMARTPHONE IMAGES AND AIRBORNE LIDAR DATA FOR COMPLETE URBAN BUILDING MODELLING

Shenman Zhang, Jie Shan, Zhichao Zhang, Jixing Yan, Yaolin Hou
2016 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Attempting to solve the missing data issues in building reconstruction from single data source, we describe an approach for complete building reconstruction that integrates airborne LiDAR data and ground  ...  A complete building model reconstruction needs data collected from both air and ground.  ...  Building Point Cloud Extraction from Airborne LiDAR The method presented in this paper reconstructs individual buildings one at a time.  ... 
doi:10.5194/isprsarchives-xli-b5-741-2016 fatcat:kh244723s5bchnh5sl6ookvzfa

Aerial 3D Building Detection and Modeling From Airborne LiDAR Point Clouds

Shaohui Sun, Carl Salvaggio
2013 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
A fast, completely automated method to create 3D watertight building models from airborne LiDAR point clouds is presented.  ...  A graph cuts based method is used to segment vegetative areas from the rest of scene content.  ...  ACKNOWLEDGMENT The authors would like to thank the United States Department of Energy for their sponsorship of this work.  ... 
doi:10.1109/jstars.2013.2251457 fatcat:7rj4kcaxuvhrbakf6ewlmigo7e

Airborne Near Infrared Three-Dimensional Ghost Imaging LiDAR via Sparsity Constraint

Chenglong Wang, Xiaodong Mei, Long Pan, Pengwei Wang, Wang Li, Xin Gao, Zunwang Bo, Mingliang Chen, Wenlin Gong, Shensheng Han
2018 Remote Sensing  
Three-dimensional ghost imaging LiDAR via sparsity constraint (3D GISC LiDAR), as a staring imaging method, can obtain both the range information and spatial distribution of a remote target with a single-pixel  ...  Here we propose an airborne near infrared 3D GISC LiDAR system and airborne high-resolution imaging is implemented.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs10050732 fatcat:ug46puuoqvalvepcxuholrga5y

AUTOMATED RECONSTRUCTION OF WALLS FROM AIRBORNE LIDAR DATA FOR COMPLETE 3D BUILDING MODELLING

Y. He, C. Zhang, M. Awrangjeb, C. S. Fraser
2012 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
This paper develops a novel approach for wall reconstruction from airborne LIDAR data. The developed method commences with point cloud segmentation using a region growing approach.  ...  Airborne Light Detection and Ranging (LIDAR) data with increasing point density and accuracy has been recognized as a valuable source for automated 3D building reconstruction.  ...  In this paper a method for automated extraction and reconstruction of vertical walls from airborne LIDAR data is presented.  ... 
doi:10.5194/isprsarchives-xxxix-b3-115-2012 fatcat:uceawn3cinbltllbahfqvol3w4

VO-LVV—A Novel Urban Regional Living Vegetation Volume Quantitative Estimation Model Based on the Voxel Measurement Method and an Octree Data Structure

Fang Huang, Shuying Peng, Shengyi Chen, Hongxia Cao, Ning Ma
2022 Remote Sensing  
To address the above problems, this paper proposes a novel LVV estimation model, which combines the voxel measurement method with an organizing point cloud based on an octree structure (we called it VO-LVV  ...  The point cloud data of single plants and multiple plants were obtained through preprocessing to verify the improvement in the calculation efficiency and accuracy of the proposed method.  ...  Conflicts of Interest: The authors declare no conflict of interest. Appendix A  ... 
doi:10.3390/rs14040855 fatcat:ict3b4kzcfho5dtijc3s6ixs4q

AIRBORNE LIDAR POWER LINE CLASSIFICATION BASED ON SPATIAL TOPOLOGICAL STRUCTURE CHARACTERISTICS

Y. Wang, Q. Chen, K. Li, D. Zheng, J. Fang
2017 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Automatic extraction of power lines has become a topic of great importance in airborne LiDAR data processing for transmission line management.  ...  In this paper, we present a new, fully automated and versatile framework that consists of four steps: (i) power line candidate point filtering, (ii) neighbourhood selection, (iii) feature extraction based  ...  ACKNOWLEDGEMENTS This work is supported by the National Natural Science Foundation of China (Grants 41601426).  ... 
doi:10.5194/isprs-annals-iv-2-w4-165-2017 fatcat:lrt2p47l65hmzhuluhy4hzx6pe

AN IMPROVED AUTOMATIC POINTWISE SEMANTIC SEGMENTATION OF A 3D URBAN SCENE FROM MOBILE TERRESTRIAL AND AIRBORNE LIDAR POINT CLOUDS: A MACHINE LEARNING APPROACH

X.-F. Xing, M. A. Mostafavi, G. Edwards, N. Sabo
2019 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
</strong> Automatic semantic segmentation of point clouds observed in a 3D complex urban scene is a challenging issue.  ...  Semantic segmentation of urban scenes based on machine learning algorithm requires appropriate features to distinguish objects from mobile terrestrial and airborne LiDAR point clouds in point level.  ...  ACKNOWLEDGMENTS This research is supported jointly by the Natural Sciences and Engineering Research Council of Canada (NSERC) and the China Scholarship Council.  ... 
doi:10.5194/isprs-annals-iv-4-w8-139-2019 fatcat:bf4brzd3wbao3niqod7i4yop4y

Ghost imaging LiDAR via sparsity constraints using push-broom scanning [article]

Shuang Ma, Zhentao Liu, Chenglong Wang, Chenyu Hu, Enrong Li, Wenlin Gong, Zhishen Tong, Jianrong Wu, Xia Shen, Shensheng Han
2019 arXiv   pre-print
It can image the stationary target scene continuously along the scanning direction by taking advantage of the relative movement between the platform and the target scene.  ...  Ghost imaging LiDAR via sparsity constraints using push-broom scanning is proposed.  ...  The blue and mauve dashed curves signify the fitted PSNR of the target scene reconstructed by method-1 and method-2, respectively.  ... 
arXiv:1904.01010v1 fatcat:t63v4ehkz5ajleloaemol4gf34

3D Scene Reconstruction through a Fusion of Passive Video and Lidar Imagery

Prudhvi Gurram, Stephen Lach, Eli Saber, Harvey Rhody, John Kerekes
2007 IEEE Applied Imagery and Pattern Recognition Workshop  
Geometric structure of a scene can be reconstructed using many methods.  ...  Examples are provided from the processing of real airborne data gathered using a combination of lidar and passive imagery taken from separate aircraft platforms at different times.  ...  Extraction of 3D models from raw lidar point cloud The method used to reconstruct buildings from lidar point cloud data also makes use of the prismatic building assumption.  ... 
doi:10.1109/aipr.2007.17 dblp:conf/aipr/GurramLSRK07 fatcat:aw2wbv67gve3xnz7ocpmxekyn4

Evaluation of the FluorWPS Model and Study of the Parameter Sensitivity for Simulating Solar-Induced Chlorophyll Fluorescence

Chiming Tong, Yunfei Bao, Feng Zhao, Chongrui Fan, Zhenjiang Li, Qiaolin Huang
2021 Remote Sensing  
The reliability of the reconstructed scene was confirmed by comparing the calculated leaf area index with the measured ones from the scene, which resulted in a relative error of 3.5%.  ...  To evaluate the model, a 3D forest scene was first constructed from Goddard's LiDAR Hyperspectral and Thermal (G-LiHT) LiDAR data.  ...  We thank Weiwei Liu for the instruction of the DART model.  ... 
doi:10.3390/rs13061091 fatcat:bfzbooab3vd2xk7whlnkheb3sa

A Graph-Based Approach for 3D Building Model Reconstruction from Airborne LiDAR Point Clouds

Bin Wu, Bailang Yu, Qiusheng Wu, Shenjun Yao, Feng Zhao, Weiqing Mao, Jianping Wu
2017 Remote Sensing  
Our proposed method offers a promising solution for 3D building model reconstruction from airborne LiDAR point clouds.  ...  A number of approaches have been proposed for extraction and reconstruction of 3D building models from airborne LiDAR data, which can be briefly divided into three categories according to [7] : reconstruction  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs9010092 fatcat:rjreiyzesjczll7mfzp7w3ixk4

Manhattan-World Urban Reconstruction from Point Clouds [chapter]

Minglei Li, Peter Wonka, Liangliang Nan
2016 Lecture Notes in Computer Science  
Unlike previous methods designed for particular types of input point clouds, our method can obtain faithful reconstructions from a variety of data sources.  ...  The contribution of our work is that we transform scene reconstruction into a labeling problem that is solved based on a novel Markov Random Field formulation.  ...  We also gratefully acknowledge the support of NVIDIA Corporation with the donation of the Quadro K52000 GPU used for rendering the point clouds.  ... 
doi:10.1007/978-3-319-46493-0_4 fatcat:havbpt6zdvallpag5h5tgtadpm

3D Watertight Mesh Generation with Uncertainties from Ubiquitous Data [chapter]

Laurent Caraffa, Mathieu Brédif, Bruno Vallet
2017 Lecture Notes in Computer Science  
This is demonstrated on a large scale reconstruction combining realworld datasets from airborne and terrestrial Lidar and on an indoor scene reconstructed from images.  ...  Its input is a set of vision-based or Lidar-based 3D measurements which are converted to a set of mass functions that characterize the level of confidence on the occupancy of the scene as occupied, empty  ...  Figure 8 shows an urban scene reconstruction with both airborne and terrestrial Lidar data. Two overlapping airborne Lidar acquisition stripes cover a large area.  ... 
doi:10.1007/978-3-319-54190-7_23 fatcat:3cdqgswj5reznk2dhdeydg4jwi

METRIC EVALUATION PIPELINE FOR 3D MODELING OF URBAN SCENES

M. Bosch, A. Leichtman, D. Chilcott, H. Goldberg, M. Brown
2017 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Most publicly available benchmark datasets have consisted of high resolution airborne imagery and lidar suitable for 3D modeling on a relatively modest scale.  ...  Sources of ground truth include airborne lidar and overhead imagery, and we demonstrate a semi-automated process for producing accurate ground truth shape files to characterize building footprints.  ...  ACKNOWLEDGEMENTS The commercial satellite imagery in the public benchmark data set was provided courtesy of DigitalGlobe. The ground truth lidar data was provided courtesy of IARPA.  ... 
doi:10.5194/isprs-archives-xlii-1-w1-239-2017 fatcat:7i5dewed6jht5ayk4ukzj4i7xa
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