Personal information

Other IDs

ResearcherID: F-3949-2019
Scopus Author ID: 57211028940

Keywords

image segmentation, convolutional neural nets, learning (artificial intelligence), object detection, remote sensing

Countries

Russia

Activities

Collapse all

Employment (2)

Точка зрения: Yaroslavl, RU

Employment
Source: Self-asserted source
Roman V. Larionov

Yaroslavl State University: Yaroslavl, RU

2019 to present
Employment
Source: Self-asserted source
Roman V. Larionov

Education and qualifications (2)

Yaroslavl State University: Yaroslavl, RU

2021-09 to present | Postgraduate
Education
Source: Self-asserted source
Roman V. Larionov

Yaroslavl State University: Yaroslavl, RU

2015-09 to 2021-08 | Graduate
Qualification
Source: Self-asserted source
Roman V. Larionov

Works (10)

Forest Change Detection Methods in Sentinel-2 Images

2023 | Conference paper
DOI: 10.20948/graphicon-2023-721-726
Contributors: R.V. Larionov; A.V. Sennikov; V.V. Khryashchev
Source: check_circle
Crossref

Segmentation of Agricultural Fields on Microwave C-Band SAR Images

2022 International Siberian Conference on Control and Communications, SIBCON 2022 - Proceedings
2022 | Conference paper
DOI: 10.1109/SIBCON56144.2022.10002999
EID:

2-s2.0-85146834842
Contributors: Khryashchev, V.; Larionov, R.; Kotov, N.; Nazarovsky, A.
Source: Self-asserted source
Roman V. Larionov via Scopus - Elsevier

Semantic Segmentation of Satellite Sar-C Images Using Deep Learning Based Algorithms

2022 Systems of Signal Synchronization, Generating and Processing in Telecommunications, SYNCHROINFO 2022 - Conference Proceedings
2022 | Conference paper
DOI: 10.1109/SYNCHROINFO55067.2022.9840934
EID:

2-s2.0-85136778927
Contributors: Khryashchev, V.; Kotov, N.; Larionov, R.; Priorov, A.
Source: Self-asserted source
Roman V. Larionov via Scopus - Elsevier

Agricultural Fields Segmentation on Satellite Images Using Convolutional Neural Networks

2021 IEEE East-West Design and Test Symposium, EWDTS 2021 - Proceedings
2021 | Conference paper
DOI: 10.1109/EWDTS52692.2021.9581006
EID:

2-s2.0-85119001006
Contributors: Larionov, R.; Kotov, N.; Priorov, A.; Semenov, A.
Source: Self-asserted source
Roman V. Larionov via Scopus - Elsevier

Quarry Areas Segmentation on Satellite Images by Convolutional Neural Networks

2020 IEEE East-West Design and Test Symposium, EWDTS 2020 - Proceedings
2020 | Conference paper
DOI: 10.1109/EWDTS50664.2020.9224810
EID:

2-s2.0-85096416854
Contributors: Larionov, R.; Khryashchev, V.; Pavlov, V.; Ganin, A.
Source: Self-asserted source
Roman V. Larionov via Scopus - Elsevier

Separation of Closely Located Buildings on Aerial Images Using U-Net Neural Network

Conference of Open Innovation Association, FRUCT
2020 | Conference paper
DOI: 10.23919/FRUCT48808.2020.9087365
EID:

2-s2.0-85084983038

Part of ISSN: 23057254
Contributors: Larionov, R.; Khryashchev, V.; Pavlov, V.
Source: Self-asserted source
Roman V. Larionov via Scopus - Elsevier

Wildfire Segmentation on Satellite Images using Deep Learning

Moscow Workshop on Electronic and Networking Technologies, MWENT 2020 - Proceedings
2020 | Conference paper
DOI: 10.1109/MWENT47943.2020.9067475
EID:

2-s2.0-85083983937
Contributors: Khryashchev, V.; Larionov, R.
Source: Self-asserted source
Roman V. Larionov via Scopus - Elsevier

Forest Areas Segmentation on Aerial Images by Deep Learning

2019 IEEE East-West Design and Test Symposium, EWDTS 2019
2019 | Conference paper
DOI: 10.1109/EWDTS.2019.8884406
EID:

2-s2.0-85075315664
Contributors: Khryashchev, V.; Pavlov, V.; Ostrovskaya, A.; Larionov, R.
Source: Self-asserted source
Roman V. Larionov via Scopus - Elsevier

Loss function selection in a problem of satellite image segmentation using convolutional neural network

2019 Systems of Signal Synchronization, Generating and Processing in Telecommunications, SYNCHROINFO 2019
2019 | Conference paper
DOI: 10.1109/SYNCHROINFO.2019.8814279
EID:

2-s2.0-85072304751
Contributors: Sedov, A.G.; Khryashchev, V.V.; Larionov, R.V.; Ostrovskaya, A.A.
Source: Self-asserted source
Roman V. Larionov via Scopus - Elsevier

Modification of U-Net neural network in the task of multichannel satellite images segmentation

2019 IEEE East-West Design and Test Symposium, EWDTS 2019
2019 | Conference paper
DOI: 10.1109/EWDTS.2019.8884452
EID:

2-s2.0-85075294698
Contributors: Khryashchev, V.; Larionov, R.; Ostrovskaya, A.; Semenov, A.
Source: Self-asserted source
Roman V. Larionov via Scopus - Elsevier
How many people are using ORCID?