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

H. Bernsteiner; N. Broåová; I. Eischeid; A. Hamer; S. Haselberger; M. Huber; A. Kollert; T. M. Vandyk; F. Pirotti

doi:10.5194/isprs-Annals-V-3-2020-431-2020

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

H. Bernsteiner
, N. Broåová
, I. Eischeid
, A. Hamer
, S. Haselberger
, M. Huber
, A. Kollert
, T. M. Vandyk
, F. Pirotti

Research output: Contribution to journal › Conference article › peer-review

Original language	English
Pages (from-to)	431-437
Number of pages	7
Journal	ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume	5
Issue number	3
DOIs	https://doi.org/10.5194/isprs-Annals-V-3-2020-431-2020
Publication status	Published - 3 Aug 2020
Event	2020 24th ISPRS Congress on Technical Commission III - Nice, Virtual, France Duration: 31 Aug 2020 → 2 Sept 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 15 Life on Land

Keywords

High Mountain Environment
Machine Learning
Structure from Motion
Surface Classification
Terrestrial Photogrammetry

Access to Document

10.5194/isprs-Annals-V-3-2020-431-2020Licence: CC BY

Cite this

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

@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",

}

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

Machine learning for classification of an eroding scarp surface using terrestrial photogrammetry with nir and rgb imagery. / Bernsteiner, H.; Broåová, N.; Eischeid, I. et al.
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 journal › Conference article › peer-review

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 - https://www.scopus.com/pages/publications/85090337515

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

SN - 2194-9042

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

IS - 3

T2 - 2020 24th ISPRS Congress on Technical Commission III

Y2 - 31 August 2020 through 2 September 2020

ER -

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

UN SDGs

Keywords

Access to Document

Other files and links

Cite this