Procedia Computer Science, volume 193, pages 210-219
Automated Evolutionary Design of CNN Classifiers for Object Recognition on Satellite Images
Publication type: Journal Article
Publication date: 2021-11-19
Journal:
Procedia Computer Science
Quartile SCImago
— Quartile WOS
—
Impact factor: —
ISSN: 18770509
General Medicine
Abstract
In the paper, the automated evolutionary approach FEDOT-NAS for the design of convolutional neural networks is proposed. It allows building object recognition models for remote sensing tasks. The comparison of the proposed approach with state-of-the-art tools for neural architecture search is conducted for several examples of satellite-related datasets. The results of the experiments confirm the correctness and effectiveness of the proposed approach. The implementation of FEDOT-NAS is available as an open-source tool.
Citations by journals
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Computers and Geosciences
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Computers and Geosciences
1 publication, 25%
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Atmospheric Research
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Atmospheric Research
1 publication, 25%
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Remote Sensing
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Remote Sensing
1 publication, 25%
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Citations by publishers
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2
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Elsevier
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Elsevier
2 publications, 50%
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Multidisciplinary Digital Publishing Institute (MDPI)
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Multidisciplinary Digital Publishing Institute (MDPI)
1 publication, 25%
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2
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- We do not take into account publications that without a DOI.
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- Statistics recalculated weekly.
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GOST
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Polonskaia I. S., Aliev I. R., Nikitin N. O. Automated Evolutionary Design of CNN Classifiers for Object Recognition on Satellite Images // Procedia Computer Science. 2021. Vol. 193. pp. 210-219.
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Polonskaia I. S., Aliev I. R., Nikitin N. O. Automated Evolutionary Design of CNN Classifiers for Object Recognition on Satellite Images // Procedia Computer Science. 2021. Vol. 193. pp. 210-219.
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TY - JOUR
DO - 10.1016/j.procs.2021.10.021
UR - https://doi.org/10.1016%2Fj.procs.2021.10.021
TI - Automated Evolutionary Design of CNN Classifiers for Object Recognition on Satellite Images
T2 - Procedia Computer Science
AU - Polonskaia, Iana S
AU - Aliev, Ilya R
AU - Nikitin, Nikolay O
PY - 2021
DA - 2021/11/19 00:00:00
PB - Elsevier
SP - 210-219
VL - 193
SN - 1877-0509
ER -
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@article{2021_Polonskaia,
author = {Iana S Polonskaia and Ilya R Aliev and Nikolay O Nikitin},
title = {Automated Evolutionary Design of CNN Classifiers for Object Recognition on Satellite Images},
journal = {Procedia Computer Science},
year = {2021},
volume = {193},
publisher = {Elsevier},
month = {nov},
url = {https://doi.org/10.1016%2Fj.procs.2021.10.021},
pages = {210--219},
doi = {10.1016/j.procs.2021.10.021}
}
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