U.S. flag

An official website of the United States government

Dot gov

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Https

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

PubAg

Main content area

You searched for: Subject "lidar" Remove constraint Subject: "lidar"
Start Over

Search

4,517  Search Results

« Previous | 1 - 20 of 4,517 |
Number of results to display per page

Search Results

1. Metrics for aerial, urban lidar point clouds

Author:
Stanley, Michael H.; Laefer, Debra F.
Source:
ISPRS journal of photogrammetry and remote sensing 2021 v.175 pp. 268-281
ISSN:
0924-2716
Subject:
lidar,   etc   ; flight; photogrammetry;     Show all 3 Subjects
Abstract:
... This paper introduces five new density and accuracy metrics for aerial point clouds that address the complexity and objectives of modern, dense laser scans of urban scenes. The five metrics describe (1) vertical surface density (points per area on vertical surfaces); (2) vertical density as a function of horizontal density; (3) vertical surface accuracy; and a decomposition of error into (4) withi ...
DOI:
10.1016/j.isprsjprs.2021.01.010

2. Simultaneous Time-Varying Vibration and Nonlinearity Compensation for One-Period Triangular-FMCW Lidar Signal

Author:
Wang, Rongrong; Wang, Bingnan; Xiang, Maosheng; Li, Chuang; Wang, Shuai; Song, Chong
Source:
Remote Sensing 2021 v.13 no.9
ISSN:
2072-4292
Subject:
lidar,   etc   ; models; vibration;     Show all 3 Subjects
Abstract:
... Frequency modulation continuous wave (FMCW) Lidar inevitably suffers from vibration and nonlinear frequency modulation, which influences the ranging and imaging results. In this paper, we analyze the impact of vibration error coupled with nonlinearity error on ranging for FMCW Lidar, and propose a purely theoretical approach that simultaneously compensates for time-varying vibration and nonlineari ...
DOI:
10.3390/rs13091731

3. An algorithm for objective analysis of grainflow morphology

Author:
Zhang, Pei
Source:
Aeolian research 2021 v.50 pp. 100686
ISSN:
1875-9637
Subject:
lidar,   etc   ; algorithms; geophysics; research;     Show all 4 Subjects
Abstract:
... Grainflows produce temporary geomorphological signatures on the slipfaces of aeolian dunes, and are a fundamental agency by which dunes migrate. The purpose of this study is to present an algorithm to objectively and efficiently delineate grainflow boundaries by processing Digital Elevation Models (DEMs) in Matlab and ArcGIS. Grainflows can be identified by analyzing temporal changes in slipface e ...
DOI:
10.1016/j.aeolia.2021.100686

4. Use of Bi-Temporal ALS Point Clouds for Tree Removal Detection on Private Property in Racibórz, Poland

Author:
Przewoźna, Patrycja; Hawryło, Paweł; Zięba-Kulawik, Karolina; Inglot, Adam; Mączka, Krzysztof; Wężyk, Piotr; Matczak, Piotr
Source:
Remote Sensing 2021 v.13 no.4
ISSN:
2072-4292
Subject:
lidar,   etc   ; compliance; trees; Poland;     Show all 4 Subjects
Abstract:
... Trees growing on private property have become an essential part of urban green policies. In many places, restrictions are imposed on tree removal on private property. However, monitoring compliance of these regulations appears difficult due to a lack of reference data and public administration capacity. We assessed the impact of the temporary suspension of mandatory permits on tree removal, which ...
DOI:
10.3390/rs13040767

5. A Comparative Study about Data Structures Used for Efficient Management of Voxelised Full-Waveform Airborne LiDAR Data during 3D Polygonal Model Creation

Author:
Miltiadou, Milto; Campbell, Neill D. F.; Cosker, Darren; Grant, Michael G.
Source:
Remote Sensing 2021 v.13 no.4
ISSN:
2072-4292
Subject:
lidar,   etc   ; comparative study; memory;     Show all 3 Subjects
Abstract:
... In this paper, we investigate the performance of six data structures for managing voxelised full-waveform airborne LiDAR data during 3D polygonal model creation. While full-waveform LiDAR data has been available for over a decade, extraction of peak points is the most widely used approach of interpreting them. The increased information stored within the waveform data makes interpretation and handl ...
DOI:
10.3390/rs13040559

6. An Airborne LiDAR Building-Extraction Method Based on the Naive Bayes–RANSAC Method for Proportional Segmentation of Quantitative Features

Author:
Yi, Zhenghui; Wang, Haotong; Duan, Guangyao; Wang, Zhen
Source:
Journal of the Indian Society of Remote Sensing 2021 v.49 no.2 pp. 393-404
ISSN:
0255-660X
Subject:
lidar,   etc   ; algorithms; data collection;     Show all 3 Subjects
Abstract:
... The study aims to address the multiple pseudo-planes and low efficiency of random sample consensus (RANSAC) while extracting building planes from airborne light detection and ranging (LiDAR) data. A Naive Bayes–RANSAC method is proposed for the proportional segmentation of quantitative features. First, the point cloud is divided into ground and non-ground points using the cloth simulation filterin ...
DOI:
10.1007/s12524-020-01222-4

7. Impacts of local versus long-range transported aerosols on PM10 concentrations in Seoul, Korea: An estimate based on 11-year PM10 and lidar observations

Author:
Park, Do-Hyeon; Kim, Sang-Woo; Kim, Man-Hae; Yeo, Huidong; Park, Sang Seo; Nishizawa, Tomoaki; Shimizu, Atsushi; Kim, Cheol-Hee
Source:
The Science of the total environment 2021 v.750 pp. 141739
ISSN:
0048-9697
Subject:
lidar,   etc   ; environment; mountains; pollution;     Show all 4 Subjects
Abstract:
... Extreme haze episodes have frequently occurred in Seoul since mid-2010s by the combined contributions of transboundary transported aerosols as well as locally emitted pollutants. In this study, we developed a novel method to estimate the contribution of long-range transport (LRT, aerosols are transported from any regions except local area near Seoul) and local pollution (LP, aerosols are originate ...
DOI:
10.1016/j.scitotenv.2020.141739

8. A cross-correction LiDAR SLAM method for high-accuracy 2D mapping of problematic scenario

Author:
Jia, Shoujun; Liu, Chun; Wu, Hangbin; Zeng, Doudou; Ai, Mengchi
Source:
ISPRS journal of photogrammetry and remote sensing 2021 v.171 pp. 367-384
ISSN:
0924-2716
Subject:
lidar,   etc   ; models; photogrammetry;     Show all 3 Subjects
Abstract:
... Highly accurate 2D maps can supply basic geospatial information for efficient and accurate indoor building modeling. However, problematic scenarios, which are characterized by few features, similar components and large scales, seriously influence data association and cumulative error elimination, and thus degrade simultaneous localization and mapping (SLAM)-based mapping quality. In this paper, a ...
DOI:
10.1016/j.isprsjprs.2020.11.004

9. Semantic segmentation of 3D indoor LiDAR point clouds through feature pyramid architecture search

Author:
Lin, Haojia; Wu, Shangbin; Chen, Yiping; Li, Wen; Luo, Zhipeng; Guo, Yulan; Wang, Cheng; Li, Jonathan
Source:
ISPRS journal of photogrammetry and remote sensing 2021 v.177 pp. 279-290
ISSN:
0924-2716
Subject:
lidar,   etc   ; data collection; neck; photogrammetry;     Show all 4 Subjects
Abstract:
... Semantic segmentation of 3D Light Detection and Ranging (LiDAR) indoor point clouds using deep learning has been an active topic in recent years. However, most deep neural networks on point clouds conduct multi-level feature fusion via a simple U-shape architecture, which lacks enough capacity on both classification and localization in the segmentation task. In this paper, we propose a Neural Arch ...
DOI:
10.1016/j.isprsjprs.2021.05.009

10. Efficient segment-based ground filtering and adaptive road detection from mobile light detection and ranging (LiDAR) data

Author:
Che, Erzhuo; Olsen, Michael J; Jung, Jaehoon
Source:
International journal of remote sensing 2021 v.42 no.10 pp. 3633-3659
ISSN:
1366-5901
Subject:
lidar,   etc   ; automation; data collection; models;     Show all 4 Subjects
Abstract:
... Mobile light detection and ranging (LiDAR) has been widely applied to support a variety of tasks because it captures detailed three-dimensional data of a scene with high accuracy with reduced costs and time compared with many other techniques. Given the large volume of data within a mobile LiDAR point cloud, automation of processing and analysis is critical to improve the efficiency of the entire ...
DOI:
10.1080/01431161.2020.1871095

11. Floorplan generation from 3D point clouds: A space partitioning approach

Author:
Fang, Hao; Lafarge, Florent; Pan, Cihui; Huang, Hui
Source:
ISPRS journal of photogrammetry and remote sensing 2021 v.175 pp. 44-55
ISSN:
0924-2716
Subject:
lidar,   etc   ; algorithms; energy; geometry; photogrammetry;     Show all 5 Subjects
Abstract:
... We propose a novel approach to automatically reconstruct the floorplan of indoor environments from raw sensor data. In contrast to existing methods that generate floorplans under the form of a planar graph by detecting corner points and connecting them, our framework employs a strategy that decomposes the space into a polygonal partition and selects edges that belong to wall structures by energy m ...
DOI:
10.1016/j.isprsjprs.2021.02.012

12. DeepLabV3-Refiner-Based Semantic Segmentation Model for Dense 3D Point Clouds

Author:
Kwak, Jeonghoon; Sung, Yunsick
Source:
Remote Sensing 2021 v.13 no.8
ISSN:
2072-4292
Subject:
lidar,   etc   ; data collection; humans; models;     Show all 4 Subjects
Abstract:
... Three-dimensional virtual environments can be configured as test environments of autonomous things, and remote sensing by 3D point clouds collected by light detection and range (LiDAR) can be used to detect virtual human objects by segmenting collected 3D point clouds in a virtual environment. The use of a traditional encoder-decoder model, such as DeepLabV3, improves the quality of the low-densit ...
DOI:
10.3390/rs13081565

13. Lidar-aided Autonomous Landing and Vision-based Taxiing for Fixed-Wing UAV

Author:
Kumar, K. Senthil; Venkatesan, M.; Karuppaswamy, S.
Source:
Journal of the Indian Society of Remote Sensing 2021 v.49 no.3 pp. 629-640
ISSN:
0255-660X
Subject:
lidar,   etc   ; cameras; video recording; vision;     Show all 4 Subjects
Abstract:
... Autonomous UAV technology is limited in its ability to land safely at distinct airfields that have not been precisely surveyed and where GPS is unavailable. In this paper, we present a multi-sensor system for the automatic landing of fixed-wing UAV. The system is composed of a high precision aircraft controller, a range finder (Lidar) and a vision module used for detection and tracking of runways. ...
DOI:
10.1007/s12524-020-01238-w

14. Three years of weekly observations of coastal cliff erosion by waves and rainfall

Author:
Young, A.P.; Guza, R.T.; Matsumoto, H.; Merrifield, M.A.; O'Reilly, W.C.; Swirad, Z.M.
Source:
Geomorphology 2021 v.375 pp. 107545
ISSN:
0169-555X
Subject:
lidar,   etc   ; data collection; models; rain;     Show all 4 Subjects
Abstract:
... Erosion of a 2.5 km-long sedimentary coastal cliff by waves and rainfall is explored with three years of weekly observations. A truck-mounted lidar resolved the fronting beach and convoluted surface of the ~10–25 m high cliffs. Volumes of 4362 cliff erosion events ranged up to 885 m³ (mean 3.3 m³). The three-year cumulative erosion was clustered and alongshore variable. Cliff base wave impact heig ...
DOI:
10.1016/j.geomorph.2020.107545

15. Multi-Scale Attentive Aggregation for LiDAR Point Cloud Segmentation

Author:
Geng, Xiaoxiao; Ji, Shunping; Lu, Meng; Zhao, Lingli
Source:
Remote Sensing 2021 v.13 no.4
ISSN:
2072-4292
Subject:
lidar,   etc   ; augmented reality; data collection;     Show all 3 Subjects
Abstract:
... Semantic segmentation of LiDAR point clouds has implications in self-driving, robots, and augmented reality, among others. In this paper, we propose a Multi-Scale Attentive Aggregation Network (MSAAN) to achieve the global consistency of point cloud feature representation and super segmentation performance. First, upon a baseline encoder-decoder architecture for point cloud segmentation, namely, R ...
DOI:
10.3390/rs13040691

16. Assessing Sea-State Effects on Sea-Salt Aerosol Modeling in the Lower Atmosphere Using Lidar and In-Situ Measurements

Author:
Varlas, George; Marinou, Eleni; Gialitaki, Anna; Siomos, Nikolaos; Tsarpalis, Konstantinos; Kalivitis, Nikolaos; Solomos, Stavros; Tsekeri, Alexandra; Spyrou, Christos; Tsichla, Maria; Kampouri, Anna; Vervatis, Vassilis; Giannakaki, Elina; Amiridis, Vassilis; Mihalopoulos, Nikolaos; Papadopoulos, Anastasios; Katsafados, Petros
Source:
Remote Sensing 2021 v.13 no.4
ISSN:
2072-4292
Subject:
lidar,   etc   ; aerosols; wind speed; Greece;     Show all 4 Subjects
Abstract:
... Atmospheric-chemical coupled models usually parameterize sea-salt aerosol (SSA) emissions using whitecap fraction estimated considering only wind speed and ignoring sea state. This approach may introduce inaccuracies in SSA simulation. This study aims to assess the impact of sea state on SSA modeling, applying a new parameterization for whitecap fraction estimation based on wave age, calculated by ...
DOI:
10.3390/rs13040614

17. Quality-based registration refinement of airborne LiDAR and photogrammetric point clouds

Author:
Toschi, I.; Farella, E.M.; Welponer, M.; Remondino, F.
Source:
ISPRS journal of photogrammetry and remote sensing 2021 v.172 pp. 160-170
ISSN:
0924-2716
Subject:
lidar,   etc   ; flight; photogrammetry; spatial data;     Show all 4 Subjects
Abstract:
... A big challenge in geodata processing is the seamless and accurate integration of airborne LiDAR (Light Detection And Ranging) and photogrammetric point clouds performed by properly considering their high variations in resolution and precision. In this paper we propose a new approach to co-register airborne point clouds acquired by LiDAR sensors and photogrammetric algorithms, assuming that only d ...
DOI:
10.1016/j.isprsjprs.2020.12.005

18. Unstructured Road Segmentation Based on Road Boundary Enhancement Point-Cylinder Network Using LiDAR Sensor

Author:
Zhu, Zijian; Li, Xu; Xu, Jianhua; Yuan, Jianhua; Tao, Ju
Source:
Remote Sensing 2021 v.13 no.3
ISSN:
2072-4292
Subject:
lidar,   etc   ; algorithms; cameras; data collection;     Show all 4 Subjects
Abstract:
... The segmentation of unstructured roads, a key technology in self-driving technology, remains a challenging problem. At present, most unstructured road segmentation algorithms are based on cameras or use LiDAR for projection, which has considerable limitations that the camera will fail at night, and the projection method will lose one-dimensional information. Therefore, this paper proposes a road b ...
DOI:
10.3390/rs13030495

19. Discrete curvatures of triangle meshes: From approximation of smooth surfaces to digital terrain data

Author:
Stupariu, Mihai-Sorin
Source:
Computers & geosciences 2021 v.153 pp. 104789
ISSN:
0098-3004
Subject:
lidar,   etc   ; computer graphics; data collection; geometry; landscapes;     Show all 5 Subjects
Abstract:
... The emergence of high resolution LiDAR measurements raises the challenge of extracting accurate geometric information from 3D point cloud data. The standard approach is to generate digital elevation models in the form of regular grids and to compute numerical descriptors such as slope and curvatures. An alternative is the use of triangular representations, which preserve many details that might be ...
DOI:
10.1016/j.cageo.2021.104789

20. Vectorized indoor surface reconstruction from 3D point cloud with multistep 2D optimization

Author:
Han, Jiali; Rong, Mengqi; Jiang, Hanqing; Liu, Hongmin; Shen, Shuhan
Source:
ISPRS journal of photogrammetry and remote sensing 2021 v.177 pp. 57-74
ISSN:
0924-2716
Subject:
lidar,   etc   ; data collection; memory; models; photogrammetry;     Show all 5 Subjects
Abstract:
... Vectorized reconstruction from indoor point cloud has attracted increasing attention in recent years due to its high regularity and low memory consumption. Compared with aerial mapping of outdoor urban environments, indoor point cloud generated by LiDAR scanning or image-based 3D reconstruction usually contain more clutter and missing areas, which greatly increase the difficulty of vectorized reco ...
DOI:
10.1016/j.isprsjprs.2021.04.019