Methodology of Data Fusion Using Deep Learning for Semantic Segmentation of Land Types in the Amazon-Reference-Cited by-同舟云学术

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Methodology of Data Fusion Using Deep Learning for Semantic Segmentation of Land Types in the Amazon

Published:2020 Issue: Volume:8 Page:187864-187875
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

De Oliveira Joel Parente^ORCID,Costa Marly Guimaraes Fernandes^ORCID,Filho Cicero Ferreira Fernandes Costa^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09224624.pdf?arnumber=9224624

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Review of Semantic Segmentation by Using Deep learning methods;2024 International Conference on Social and Sustainable Innovations in Technology and Engineering (SASI-ITE);2024-02-23

2. Detection of explosives in dustbins using deep transfer learning based multiclass classifiers;Applied Intelligence;2024-01

3. Fast reconfiguration method of low-carbon distribution network based on convolutional neural network;Frontiers in Energy Research;2023-01-19

4. Semantic Segmentation of Optical Satellite Images;Lecture Notes in Electrical Engineering;2023

5. Data Fusion in Agriculture: Resolving Ambiguities and Closing Data Gaps;Sensors;2022-03-16

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