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1. Improving LiDAR classification accuracy by contextual label smoothing in post-processing

Author:
Li, Nan; Liu, Chun; Pfeifer, Norbert
Source:
ISPRS journal of photogrammetry and remote sensing 2019 v.148 pp. 13-31
ISSN:
0924-2716
Subject:
lidar,   etc   ; data collection; probability; Austria;     Show all 4 Subjects
Abstract:
... We propose a contextual label-smoothing method to improve the LiDAR classification accuracy in a post-processing step. Under the framework of global graph-structured regularization, we enhance the effectiveness of label smoothing from two aspects. First, each point can collect sufficient label-relevant neighborhood information to verify its label based on an optimal graph. Second, the input label ...
DOI:
10.1016/j.isprsjprs.2018.11.022

2. Practical optimal registration of terrestrial LiDAR scan pairs

Author:
Cai, Zhipeng; Chin, Tat-Jun; Bustos, Alvaro Parra; Schindler, Konrad
Source:
ISPRS journal of photogrammetry and remote sensing 2019 v.147 pp. 118-131
ISSN:
0924-2716
Subject:
lidar,   etc   ; algorithms; data collection; scanners;     Show all 4 Subjects
Abstract:
... Point cloud registration is a fundamental problem in 3D scanning. In this paper, we address the frequent special case of registering terrestrial LiDAR scans (or, more generally, levelled point clouds). Many current solutions still rely on the Iterative Closest Point (ICP) method or other heuristic procedures, which require good initializations to succeed and/or provide no guarantees of success. On ...
DOI:
10.1016/j.isprsjprs.2018.11.016

3. Automatic characterization of rock mass discontinuities using 3D point clouds

Author:
Li, Xiaojun; Chen, Ziyang; Chen, Jianqin; Zhu, Hehua
Source:
Engineering geology 2019 v.259 pp. 105131
ISSN:
0013-7952
Subject:
lidar,   etc   ; data collection; direct contact; photogrammetry; roughness;     Show all 5 Subjects
Abstract:
... Direct contact measurements for rock mass discontinuities are generally difficult to perform, time consuming, biased, and often dangerous. This paper presents an automatic characterization method for rock mass discontinuities that uses 3D point clouds, which can be obtained through non-contact measuring techniques such as photogrammetry and Light Detection and Ranging (LiDAR). In this method, five ...
DOI:
10.1016/j.enggeo.2019.05.008

4. GPU-based lightweight parallel processing toolset for LiDAR data for terrain analysis

Author:
Li, Jing; Xu, You; Macrander, Hailey; Atkinson, Laura; Thomas, Tabris; Lopez, Mario A.
Source:
Environmental modelling & software 2019 v.117 pp. 55-68
ISSN:
1364-8152
Subject:
lidar,   etc   ; computer techniques; data collection; landscapes;     Show all 4 Subjects
Abstract:
... LiDAR products are provided at fine spatial resolutions and the data volume can be huge even for a small study region. Therefore, we have developed a parallel computing toolset that is built on Graphics Processing Units (GPUs) computing techniques to speed up the computational processes on LiDAR products. The toolset provides a set of fundamental processing functions for LiDAR point cloud data, se ...
DOI:
10.1016/j.envsoft.2019.03.014

5. Scale invariant line-based co-registration of multimodal aerial data using L1 minimization of spatial and angular deviations

Author:
Polewski, Przemyslaw; Yao, Wei
Source:
ISPRS journal of photogrammetry and remote sensing 2019 v.152 pp. 79-93
ISSN:
0924-2716
Subject:
lidar,   etc   ; data collection; isotropy; models; orthophotography; photogrammetry;     Show all 6 Subjects
Abstract:
... In this work, we investigate the coregistration of multimodal data, such as photogrammetric/LiDAR point clouds, digital surface models, orthoimages, or 3D CAD city models, using corresponding line segments. The lines are analytically derived as intersections of adjacent planar surfaces, which can be determined more robustly and are deemed more accurate compared to single point based features. We p ...
DOI:
10.1016/j.isprsjprs.2019.04.004

6. Terrestrial LiDAR: a three‐dimensional revolution in how we look at trees

Author:
Disney, Mathias
Source:
Thenew phytologist 2019 v.222 no.4 pp. 1736-1741
ISSN:
0028-646X
Subject:
lidar,   etc   ; canopy; forest ecology; models; trees;     Show all 5 Subjects
Abstract:
... Contents Summary I. Introduction II. Terrestrial laser scanning III. Turning points into trees IV. Current and future applications of TLS V. Conclusions Acknowledgements References SUMMARY: Terrestrial laser scanning (TLS) is providing new, very detailed three‐dimensional (3D) measurements of forest canopy structure. The information that TLS measurements can provide in describing detailed, accurat ...
DOI:
10.1111/nph.15517

7. A new waveform decomposition method for multispectral LiDAR

Author:
Song, Shalei; Wang, Binhui; Gong, Wei; Chen, Zhenwei; Lin, Xin; Sun, Jia; Shi, Shuo
Source:
ISPRS journal of photogrammetry and remote sensing 2019 v.149 pp. 40-49
ISSN:
0924-2716
Subject:
lidar,   etc   ; geometry; landscapes; models; vegetation; wavelengths;     Show all 6 Subjects
Abstract:
... Information derived from waveform decomposition of full-waveform light detection and ranging (LiDAR) data has been widely used in vegetation detection and three-dimensional urban terrain modeling to investigate and interpret the structural diversity of surface coverage. Most prevailing waveform decomposition methods involve only a single wavelength, but these methods do not apply to full-waveform ...
DOI:
10.1016/j.isprsjprs.2019.01.014

8. A multi-faceted CNN architecture for automatic classification of mobile LiDAR data and an algorithm to reproduce point cloud samples for enhanced training

Author:
Kumar, Bhavesh; Pandey, Gaurav; Lohani, Bharat; Misra, Subhas C.
Source:
ISPRS journal of photogrammetry and remote sensing 2019 v.147 pp. 80-89
ISSN:
0924-2716
Subject:
lidar,   etc   ; algorithms; data collection; trees; vegetation;     Show all 5 Subjects
Abstract:
... Mobile Laser Scanning (MLS) data of outdoor environment are typically characterised by occlusion, noise, clutter, large data size and high quantum of information which makes their classification a challenging problem. This paper presents three deep Convolutional Neural Network (CNN) architectures in three dimension (3D), namely single CNN (SCN), multi-faceted CNN (MFC) and MFC with reproduction (M ...
DOI:
10.1016/j.isprsjprs.2018.11.006

9. Automatic 3D reconstruction of electrical substation scene from LiDAR point cloud

Author:
Wu, Qiaoyun; Yang, Hongbin; Wei, Mingqiang; Remil, Oussama; Wang, Bo; Wang, Jun
Source:
ISPRS journal of photogrammetry and remote sensing 2018 v.143 pp. 57-71
ISSN:
0924-2716
Subject:
lidar,   etc   ; anisotropy; databases; models; topology;     Show all 5 Subjects
Abstract:
... 3D reconstruction of a large-scale electrical substation scene (ESS) is fundamental to navigation, information inquiry, and supervisory control of 3D scenes. However, automatic reconstruction of ESS from a raw LiDAR point cloud is challenging due to its incompleteness, noise and anisotropy in density. We propose an automatic and efficient approach to reconstruct ESSs, by mapping raw LiDAR data to ...
DOI:
10.1016/j.isprsjprs.2018.04.024

10. A novel application of terrestrial LIDAR to characterize elevation change at human grave surfaces in support of narrowing down possible unmarked grave locations

Author:
Corcoran, K.A.; Mundorff, A.Z.; White, D.A.; Emch, W.L.
Source:
Forensic science international 2018 v.289 pp. 320-328
ISSN:
0379-0738
Subject:
lidar,   etc   ; data collection; humans; scanners;     Show all 4 Subjects
Abstract:
... Unmarked graves are difficult to locate once the ground surface no longer shows visible evidence of disturbance, posing significant challenges to missing person investigations. This research evaluates the use of terrestrial LIDAR point data for measuring localized elevation change at human grave surfaces. Three differently sized human graves, one control-pit, and surrounding undisturbed ground, we ...
DOI:
10.1016/j.forsciint.2018.05.038

11. 3D micro-mapping: Towards assessing the quality of crowdsourcing to support 3D point cloud analysis

Author:
Herfort, Benjamin; Höfle, Bernhard; Klonner, Carolin
Source:
ISPRS journal of photogrammetry and remote sensing 2018 v.137 pp. 73-83
ISSN:
0924-2716
Subject:
lidar,   etc   ; Internet; case studies; trees;     Show all 4 Subjects
Abstract:
... In this paper, we propose a method to crowdsource the task of complex three-dimensional information extraction from 3D point clouds. We design web-based 3D micro tasks tailored to assess segmented LiDAR point clouds of urban trees and investigate the quality of the approach in an empirical user study. Our results for three different experiments with increasing complexity indicate that a single cro ...
DOI:
10.1016/j.isprsjprs.2018.01.009

12. Observations on the distribution of clouds over northern India using joint CloudSat and CALIPSO measurements

Author:
Kumar, Ashish; Singh, Narendra; Singh, Anshumali
Source:
Remote sensing letters 2019 v.10 no.6 pp. 590-597
ISSN:
2150-7058
Subject:
lidar,   etc   ; aerosols; monsoon season; remote sensing; satellites; seasonal variation; India;     Show all 7 Subjects
Abstract:
... A detailed study on the distribution of basic cloud types over the northern states of India (NSI) is performed using the decadal (2007–2016) raDAR-liDAR (DARDAR) data, which facilitates merged CloudSat and Cloud aerosol liDAR infrared pathfinder satellite observations (CALIPSO) observations onto the high resolution matched geographical grid points. The study demonstrates the seasonal variations, w ...
DOI:
10.1080/2150704X.2019.1587198

13. An automatic and objective approach to hydro-flatten high resolution topographic data

Author:
Zheng, Xing; Godbout, Lukas; Zheng, Jeff; McCormick, Collin; Passalacqua, Paola
Source:
Environmental modelling & software 2019 v.116 pp. 72-86
ISSN:
1364-8152
Subject:
lidar,   etc   ; landscapes; models; remote sensing; statistical analysis; surveys; topography;     Show all 7 Subjects
Abstract:
... Hydro-flattening is an operation required to generate deliverable terrain products after lidar survey collections that usually entails extensive manual intervention. In this paper, we develop new modules of GeoNet, a computational tool for the automatic extraction of geomorphic channel features from high resolution topography, for detecting channel banks and produce a hydro-flattened Digital Terra ...
DOI:
10.1016/j.envsoft.2019.02.007

14. A new method for shoreline extraction from airborne LiDAR point clouds

Author:
Xu, Sheng; Ye, Ning; Xu, Shanshan
Source:
Remote sensing letters 2019 v.10 no.5 pp. 496-505
ISSN:
2150-7058
Subject:
lidar,   etc   ; data collection; energy; models; remote sensing; shorelines; surface water;     Show all 7 Subjects
Abstract:
... This work proposes a method for the extraction of shorelines from airborne LiDAR (light detection and ranging) point clouds. In the beginning, water bodies are removed based on the flatness clue. Then, boundaries of lands are extracted by using a new minimum-cost boundary model. Finally, false boundaries caused by man-made objects and vegetations are removed in the refinement step, and true bounda ...
DOI:
10.1080/2150704X.2019.1569277

15. Development of deep learning architecture for automatic classification of outdoor mobile LiDAR data

Author:
Kumar, Bhavesh; Lohani, Bharat; Pandey, Gaurav
Source:
International journal of remote sensing 2019 v.40 no.9 pp. 3543-3554
ISSN:
1366-5901
Subject:
lidar,   etc   ; data collection; geometry; mixing; remote sensing; trees; vegetation;     Show all 7 Subjects
Abstract:
... This paper proposes a deep convolutional neural network (CNN) architecture for automatic classification of mobile laser scanning (MLS) data obtained for outdoor environment, which are characterized by noise, clutter, large size and larger quantum of information. The developed architecture introduces a look up table (LUT) based approach, which retains the geometry of the input MLS point cloud while ...
DOI:
10.1080/01431161.2018.1547929

16. Lidar Observations of the Typhoon Boundary Layer Within the Outer Rainbands

Author:
Tsai, Yuan-Shiang; Miau, Jiun-Jih; Yu, Chao-Ming; Chang, Wan-Ting
Source:
Boundary-layer meteorology 2019 v.171 no.2 pp. 237-255
ISSN:
0006-8314
Subject:
lidar,   etc   ; friction; friction velocity; models; typhoons; wind speed;     Show all 6 Subjects
Abstract:
... The typhoon boundary layer within the two super typhoons Dujuan and Soudelor is observed using ground-based Doppler lidar up to a height of 240 m, and primarily in the outer rain-bands. The mean wind-speed profiles are analyzed over 1-h intervals and two longer intervals, representing the stages of the typhoons’ approach and departure, respectively. In agreement with surface-layer parametrizations ...
DOI:
10.1007/s10546-019-00427-6

17. Bathymetry retrieval from optical images with spatially distributed support vector machines

Author:
Wang, Lei; Liu, Hongxing; Su, Haibin; Wang, Jun
Source:
GIScience & remote sensing 2019 v.56 no.3 pp. 323-337
ISSN:
1943-7226
Subject:
lidar,   etc   ; models; prediction; remote sensing; support vector machines;     Show all 5 Subjects
Abstract:
... This paper presents a spatially distributed support vector machine (SVM) system for estimating shallow water bathymetry from optical satellite images. Unlike the traditional global models that make predictions from a unified global model for the entire study area, our system uses locally trained SVMs and spatially weighted votes to make predictions. By using IKONOS-2 multi-spectral image and airbo ...
DOI:
10.1080/15481603.2018.1538620

18. Application of lidar and measure correlate predict method in offshore wind resource assessments

Author:
Sharma, Pramod Kumar; Warudkar, Vilas; Ahmed, Siraj
Source:
Journal of cleaner production 2019 v.215 pp. 534-543
ISSN:
0959-6526
Subject:
lidar,   etc   ; prediction; quantitative analysis; remote sensing; uncertainty; wind; wind turbines;     Show all 7 Subjects
Abstract:
... Currently, wind data measurement using lidars or other remote sensing instruments are increasing. Lidar measures the wind data over the full wind turbine, but it is not available for a complete period. This paper investigates the application of measure-correlate-predict technique to short-term lidar measurements in order to extrapolate wind shear index. The wind shear exponent from lidar measureme ...
DOI:
10.1016/j.jclepro.2018.12.267

19. A higher-order tensor voting-based approach for road junction detection and delineation from airborne LiDAR data

Author:
Chen, Zhuo; Liu, Chun; Wu, Hangbin
Source:
ISPRS journal of photogrammetry and remote sensing 2019 v.150 pp. 91-114
ISSN:
0924-2716
Subject:
lidar,   etc   ; algorithms; geometry; models; planning; road construction; roads;     Show all 7 Subjects
Abstract:
... The location and delineation of road junctions produce valuable inputs for road network understanding and topology reconstruction; the results also serve as basic information for road construction planning, emergency rescue, and large-scale data registration. This study addresses fully automatic road junction detection and delineation from airborne lidar (or LiDAR – light detection and ranging) da ...
DOI:
10.1016/j.isprsjprs.2019.02.003

20. Design and evaluation of a full-wave surface and bottom-detection algorithm for LiDAR bathymetry of very shallow waters

Author:
Schwarz, Roland; Mandlburger, Gottfried; Pfennigbauer, Martin; Pfeifer, Norbert
Source:
ISPRS journal of photogrammetry and remote sensing 2019 v.150 pp. 1-10
ISSN:
0924-2716
Subject:
lidar,   etc   ; algorithms; data collection; photogrammetry; surface water; surveys; wavelengths;     Show all 7 Subjects
Abstract:
... Airborne Laser Bathymetry (ALB) is an attractive technology for the measurement of shallow water bodies because of the high acquisition rate and high point densities that can be achieved. Of special interest is the application of ALB in non-navigable areas where the only alternatives are conventional terrestrial surveying by wading with a pole, multi-media photogrammetry, or spectrally based depth ...
DOI:
10.1016/j.isprsjprs.2019.02.002