MFCA-Net: a deep learning method for semantic segmentation of remote sensing images Article Swipe

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Xiujuan Li , Junhuai Li ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.1038/s41598-024-56211-1

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Computer science Upsampling Artificial intelligence Segmentation Feature (linguistics) Pattern recognition (psychology) Decoding methods Feature extraction Encoding (memory) Computer vision Image (mathematics) Algorithm Philosophy Linguistics

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Type: article
Language: en
Landing Page: https://doi.org/10.1038/s41598-024-56211-1
PDF: https://www.nature.com/articles/s41598-024-56211-1.pdf
OA Status: gold
Cited By: 10
References: 47
Related Works: 10
OpenAlex ID: https://openalex.org/W4392598598

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OpenAlex ID: https://openalex.org/W4392598598

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DOI: https://doi.org/10.1038/s41598-024-56211-1

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Title: MFCA-Net: a deep learning method for semantic segmentation of remote sensing images

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Type: article

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Language: en

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Publication year: 2024

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Publication date: 2024-03-08

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Authors: Xiujuan Li, Junhuai Li

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Landing page: https://doi.org/10.1038/s41598-024-56211-1

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PDF URL: https://www.nature.com/articles/s41598-024-56211-1.pdf

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Concepts: Computer science, Upsampling, Artificial intelligence, Segmentation, Feature (linguistics), Pattern recognition (psychology), Decoding methods, Feature extraction, Encoding (memory), Computer vision, Image (mathematics), Algorithm, Philosophy, Linguistics

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Cited by: 10

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Citations by year (recent): 2025: 8, 2024: 2

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