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Super-resolution of satellite images: Feasibility of deep learning techniques. / Akimova, Elena N.; Deikov, Artem A.
International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019. ed. / T Simos; C Tsitouras. American Institute of Physics Inc., 2020. 140002 (AIP Conference Proceedings; Vol. 2293).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Harvard

Akimova, EN & Deikov, AA 2020, Super-resolution of satellite images: Feasibility of deep learning techniques. in T Simos & C Tsitouras (eds), International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019., 140002, AIP Conference Proceedings, vol. 2293, American Institute of Physics Inc., International Conference on Numerical Analysis and Applied Mathematics 2019, ICNAAM 2019, Rhodes, Greece, 23/09/2019. https://doi.org/10.1063/5.0026613

APA

Akimova, E. N., & Deikov, A. A. (2020). Super-resolution of satellite images: Feasibility of deep learning techniques. In T. Simos, & C. Tsitouras (Eds.), International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019 [140002] (AIP Conference Proceedings; Vol. 2293). American Institute of Physics Inc.. https://doi.org/10.1063/5.0026613

Vancouver

Akimova EN, Deikov AA. Super-resolution of satellite images: Feasibility of deep learning techniques. In Simos T, Tsitouras C, editors, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019. American Institute of Physics Inc. 2020. 140002. (AIP Conference Proceedings). doi: 10.1063/5.0026613

Author

Akimova, Elena N. ; Deikov, Artem A. / Super-resolution of satellite images: Feasibility of deep learning techniques. International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019. editor / T Simos ; C Tsitouras. American Institute of Physics Inc., 2020. (AIP Conference Proceedings).

BibTeX

@inproceedings{3e65533a63c64769843d361e61c69456,
title = "Super-resolution of satellite images: Feasibility of deep learning techniques",
keywords = "CUD A, Deep learning, Neural network, Py Torch, Python, Super-resolution",
author = "Akimova, {Elena N.} and Deikov, {Artem A.}",
year = "2020",
month = nov,
day = "24",
doi = "10.1063/5.0026613",
language = "English",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics Inc.",
editor = "T Simos and C Tsitouras",
booktitle = "International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019",
address = "United States",
note = "International Conference on Numerical Analysis and Applied Mathematics 2019, ICNAAM 2019 ; Conference date: 23-09-2019 Through 28-09-2019",

}

RIS

TY - GEN

T1 - Super-resolution of satellite images: Feasibility of deep learning techniques

AU - Akimova, Elena N.

AU - Deikov, Artem A.

PY - 2020/11/24

Y1 - 2020/11/24

KW - CUD A

KW - Deep learning

KW - Neural network

KW - Py Torch

KW - Python

KW - Super-resolution

UR - http://www.scopus.com/inward/record.url?scp=85098012179&partnerID=8YFLogxK

UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000636709500177

U2 - 10.1063/5.0026613

DO - 10.1063/5.0026613

M3 - Conference contribution

AN - SCOPUS:85098012179

T3 - AIP Conference Proceedings

BT - International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019

A2 - Simos, T

A2 - Tsitouras, C

PB - American Institute of Physics Inc.

T2 - International Conference on Numerical Analysis and Applied Mathematics 2019, ICNAAM 2019

Y2 - 23 September 2019 through 28 September 2019

ER -

ID: 20362490