Machine learning for classification of an eroding scarp surface using terrestrial photogrammetry with nir and rgb imagery. / Bernsteiner, H.; Broåová, N.; Eischeid, I.; Hamer, A.; Haselberger, S.; Huber, M.; Kollert, A.; Vandyk, T. M.; Pirotti, F.

In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 5, No. 3, 03.08.2020, p. 431-437.

Research output: Contribution to journalConference articlepeer-review

Published

Standard

Machine learning for classification of an eroding scarp surface using terrestrial photogrammetry with nir and rgb imagery. / Bernsteiner, H.; Broåová, N.; Eischeid, I.; Hamer, A.; Haselberger, S.; Huber, M.; Kollert, A.; Vandyk, T. M.; Pirotti, F.

In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 5, No. 3, 03.08.2020, p. 431-437.

Research output: Contribution to journalConference articlepeer-review

Harvard

Bernsteiner, H, Broåová, N, Eischeid, I, Hamer, A, Haselberger, S, Huber, M, Kollert, A, Vandyk, TM & Pirotti, F 2020, 'Machine learning for classification of an eroding scarp surface using terrestrial photogrammetry with nir and rgb imagery', ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 5, no. 3, pp. 431-437. https://doi.org/10.5194/isprs-Annals-V-3-2020-431-2020

APA

Bernsteiner, H., Broåová, N., Eischeid, I., Hamer, A., Haselberger, S., Huber, M., Kollert, A., Vandyk, T. M., & Pirotti, F. (2020). Machine learning for classification of an eroding scarp surface using terrestrial photogrammetry with nir and rgb imagery. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 5(3), 431-437. https://doi.org/10.5194/isprs-Annals-V-3-2020-431-2020

Vancouver

Bernsteiner H, Broåová N, Eischeid I, Hamer A, Haselberger S, Huber M et al. Machine learning for classification of an eroding scarp surface using terrestrial photogrammetry with nir and rgb imagery. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2020 Aug 3;5(3):431-437. https://doi.org/10.5194/isprs-Annals-V-3-2020-431-2020

Author

Bernsteiner, H. ; Broåová, N. ; Eischeid, I. ; Hamer, A. ; Haselberger, S. ; Huber, M. ; Kollert, A. ; Vandyk, T. M. ; Pirotti, F. / Machine learning for classification of an eroding scarp surface using terrestrial photogrammetry with nir and rgb imagery. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2020 ; Vol. 5, No. 3. pp. 431-437.

BibTeX

@article{47e55d9341f2443f8ae3b571f15146b5,
title = "Machine learning for classification of an eroding scarp surface using terrestrial photogrammetry with nir and rgb imagery",
keywords = "High Mountain Environment, Machine Learning, Structure from Motion, Surface Classification, Terrestrial Photogrammetry",
author = "H. Bernsteiner and N. Bro{\aa}ov{\'a} and I. Eischeid and A. Hamer and S. Haselberger and M. Huber and A. Kollert and Vandyk, {T. M.} and F. Pirotti",
year = "2020",
month = aug,
day = "3",
doi = "10.5194/isprs-Annals-V-3-2020-431-2020",
language = "English",
volume = "5",
pages = "431--437",
journal = "ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences",
issn = "2194-9042",
publisher = "Copernicus GmbH",
number = "3",
note = "2020 24th ISPRS Congress on Technical Commission III ; Conference date: 31-08-2020 Through 02-09-2020",

}

RIS

TY - JOUR

T1 - Machine learning for classification of an eroding scarp surface using terrestrial photogrammetry with nir and rgb imagery

AU - Bernsteiner, H.

AU - Broåová, N.

AU - Eischeid, I.

AU - Hamer, A.

AU - Haselberger, S.

AU - Huber, M.

AU - Kollert, A.

AU - Vandyk, T. M.

AU - Pirotti, F.

PY - 2020/8/3

Y1 - 2020/8/3

KW - High Mountain Environment

KW - Machine Learning

KW - Structure from Motion

KW - Surface Classification

KW - Terrestrial Photogrammetry

UR - http://www.scopus.com/inward/record.url?scp=85090337515&partnerID=8YFLogxK

U2 - 10.5194/isprs-Annals-V-3-2020-431-2020

DO - 10.5194/isprs-Annals-V-3-2020-431-2020

M3 - Conference article

AN - SCOPUS:85090337515

VL - 5

SP - 431

EP - 437

JO - ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

JF - ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

SN - 2194-9042

IS - 3

T2 - 2020 24th ISPRS Congress on Technical Commission III

Y2 - 31 August 2020 through 2 September 2020

ER -