Application of the Semantic Segmentation Method in the Assessment of Forest Carbon Balance-Reference-Cited by-同舟云学术

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Application of the Semantic Segmentation Method in the Assessment of Forest Carbon Balance

Published:2023-09-26 Issue: Volume: Page:
ISSN:
Container-title:2023 16th International Conference Management of large-scale system development (MLSD)
language:
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Author:

Tulokhonova Inna¹,Mikhaylova Svetlana²,Danilova Soelma²

Affiliation:

1. East Siberia State University of Technology and Management,Department of Software Engineering and Artificial Intelligence,Ulan-Ude,Russia

2. Financial University Under the Government of the Russian Federation,Department of Data Analysis and Machine Learning,Moscow,Russia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10303766/10303767/10303934.pdf?arnumber=10303934

Reference14 articles.

1. Neural network model of the carbon balance of the terrestrial ecosystem. In: Problems of the mechanics of modern machines: collection of articles;tulokhonova;scientific Art VIII int Conf,2022

2. U-Net: Convolutional Networks for Biomedical Im-age Segmentation;ronneberger;Medical Image Computing and Computer- Assisted Intervention – MICCAI,2015

3. Neural network model for detection of changes in forest environment using multispectral images – Text: electronic;tulokhonova,0

4. Global Carbon Budget 2015

5. Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps

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