Standard
Multithreading in Laser Scanning Data Processing. / Badenko, Vladimir; Tammsaar, Serafim; Beliaevskii, Kirill; Fedotov, Alexander; Vinogradov, Konstantin.
Computational Science and Its Applications – ICCSA 2019 - 19th International Conference, 2019, Proceedings. ed. / Sanjay Misra; Osvaldo Gervasi; Beniamino Murgante; Elena Stankova; Vladimir Korkhov; Carmelo Torre; Eufemia Tarantino; Ana Maria A.C. Rocha; David Taniar; Bernady O. Apduhan. Springer Nature, 2019. p. 289-305 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11619 LNCS).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Harvard
Badenko, V, Tammsaar, S, Beliaevskii, K, Fedotov, A
& Vinogradov, K 2019,
Multithreading in Laser Scanning Data Processing. in S Misra, O Gervasi, B Murgante, E Stankova, V Korkhov, C Torre, E Tarantino, AMAC Rocha, D Taniar & BO Apduhan (eds),
Computational Science and Its Applications – ICCSA 2019 - 19th International Conference, 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11619 LNCS, Springer Nature, pp. 289-305, 19th International Conference on Computational Science and Its Applications, ICCSA 2019, Saint Petersburg, Russian Federation,
1/07/19.
https://doi.org/10.1007/978-3-030-24289-3_22APA
Badenko, V., Tammsaar, S., Beliaevskii, K., Fedotov, A.
, & Vinogradov, K. (2019).
Multithreading in Laser Scanning Data Processing. In S. Misra, O. Gervasi, B. Murgante, E. Stankova, V. Korkhov, C. Torre, E. Tarantino, A. M. A. C. Rocha, D. Taniar, & B. O. Apduhan (Eds.),
Computational Science and Its Applications – ICCSA 2019 - 19th International Conference, 2019, Proceedings (pp. 289-305). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11619 LNCS). Springer Nature.
https://doi.org/10.1007/978-3-030-24289-3_22Vancouver
Badenko V, Tammsaar S, Beliaevskii K, Fedotov A
, Vinogradov K.
Multithreading in Laser Scanning Data Processing. In Misra S, Gervasi O, Murgante B, Stankova E, Korkhov V, Torre C, Tarantino E, Rocha AMAC, Taniar D, Apduhan BO, editors, Computational Science and Its Applications – ICCSA 2019 - 19th International Conference, 2019, Proceedings. Springer Nature. 2019. p. 289-305. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
https://doi.org/10.1007/978-3-030-24289-3_22Author
Badenko, Vladimir ; Tammsaar, Serafim ; Beliaevskii, Kirill ; Fedotov, Alexander
; Vinogradov, Konstantin. /
Multithreading in Laser Scanning Data Processing. Computational Science and Its Applications – ICCSA 2019 - 19th International Conference, 2019, Proceedings. editor / Sanjay Misra ; Osvaldo Gervasi ; Beniamino Murgante ; Elena Stankova ; Vladimir Korkhov ; Carmelo Torre ; Eufemia Tarantino ; Ana Maria A.C. Rocha ; David Taniar ; Bernady O. Apduhan. Springer Nature, 2019. pp. 289-305 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
BibTeX
@inproceedings{6d6bb853450c4759a0d8ee108890be53,
title = "Multithreading in Laser Scanning Data Processing",
abstract = "Laser scanning is one of the modern and actively-developing remote sensing techniques, resulting in a point cloud, containing a set of different attributes for each point. One of the positive features of laser scanning is the high accuracy of the results; this is achieved by obtaining a large number of points describing the scanned object. In some circumstances, point clouds may contain billions of points, which require hundreds of gigabytes to be stored. Loading and processing of such huge data require large time and computational resources. The first problem is such massive point clouds initial downloading and pre-processing. The standard approach is the sequential processing of laser scanning results, which requires a significant amount of time. In this paper, we have conducted research and testing of various approaches for loading and processing of point clouds, one of the proposed approaches is the use of multithreading to significantly reduce time. The guideline for improvement of processing of laser scanning point clouds with use of multithreading is presented.",
keywords = "Algorithm, Laser scanning data, Multithreading, Parallel processing, Point cloud",
author = "Vladimir Badenko and Serafim Tammsaar and Kirill Beliaevskii and Alexander Fedotov and Konstantin Vinogradov",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 19th International Conference on Computational Science and Its Applications, ICCSA 2019 ; Conference date: 01-07-2019 Through 04-07-2019",
year = "2019",
doi = "10.1007/978-3-030-24289-3_22",
language = "English",
isbn = "9783030242886",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "289--305",
editor = "Sanjay Misra and Osvaldo Gervasi and Beniamino Murgante and Elena Stankova and Vladimir Korkhov and Carmelo Torre and Eufemia Tarantino and Rocha, {Ana Maria A.C.} and David Taniar and Apduhan, {Bernady O.}",
booktitle = "Computational Science and Its Applications – ICCSA 2019 - 19th International Conference, 2019, Proceedings",
address = "Germany",
}
RIS
TY - GEN
T1 - Multithreading in Laser Scanning Data Processing
AU - Badenko, Vladimir
AU - Tammsaar, Serafim
AU - Beliaevskii, Kirill
AU - Fedotov, Alexander
AU - Vinogradov, Konstantin
N1 - Conference code: 19
PY - 2019
Y1 - 2019
N2 - Laser scanning is one of the modern and actively-developing remote sensing techniques, resulting in a point cloud, containing a set of different attributes for each point. One of the positive features of laser scanning is the high accuracy of the results; this is achieved by obtaining a large number of points describing the scanned object. In some circumstances, point clouds may contain billions of points, which require hundreds of gigabytes to be stored. Loading and processing of such huge data require large time and computational resources. The first problem is such massive point clouds initial downloading and pre-processing. The standard approach is the sequential processing of laser scanning results, which requires a significant amount of time. In this paper, we have conducted research and testing of various approaches for loading and processing of point clouds, one of the proposed approaches is the use of multithreading to significantly reduce time. The guideline for improvement of processing of laser scanning point clouds with use of multithreading is presented.
AB - Laser scanning is one of the modern and actively-developing remote sensing techniques, resulting in a point cloud, containing a set of different attributes for each point. One of the positive features of laser scanning is the high accuracy of the results; this is achieved by obtaining a large number of points describing the scanned object. In some circumstances, point clouds may contain billions of points, which require hundreds of gigabytes to be stored. Loading and processing of such huge data require large time and computational resources. The first problem is such massive point clouds initial downloading and pre-processing. The standard approach is the sequential processing of laser scanning results, which requires a significant amount of time. In this paper, we have conducted research and testing of various approaches for loading and processing of point clouds, one of the proposed approaches is the use of multithreading to significantly reduce time. The guideline for improvement of processing of laser scanning point clouds with use of multithreading is presented.
KW - Algorithm
KW - Laser scanning data
KW - Multithreading
KW - Parallel processing
KW - Point cloud
UR - http://www.scopus.com/inward/record.url?scp=85069150036&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-24289-3_22
DO - 10.1007/978-3-030-24289-3_22
M3 - Conference contribution
AN - SCOPUS:85069150036
SN - 9783030242886
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 289
EP - 305
BT - Computational Science and Its Applications – ICCSA 2019 - 19th International Conference, 2019, Proceedings
A2 - Misra, Sanjay
A2 - Gervasi, Osvaldo
A2 - Murgante, Beniamino
A2 - Stankova, Elena
A2 - Korkhov, Vladimir
A2 - Torre, Carmelo
A2 - Tarantino, Eufemia
A2 - Rocha, Ana Maria A.C.
A2 - Taniar, David
A2 - Apduhan, Bernady O.
PB - Springer Nature
T2 - 19th International Conference on Computational Science and Its Applications, ICCSA 2019
Y2 - 1 July 2019 through 4 July 2019
ER -
