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International Journal of Remote Sensing Volume 44, 2023 - Issue 18
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Research Article

CoupleUNet: Swin Transformer coupling CNNs makes strong contextual encoders for VHR image road extraction

Ruirui Lia School of Information Science, Beijing University of Chemical Technology, Beijing, Chaoyang, China;b Key Laboratory of Image Interpretation and Intelligent Processing, Beijing University of Chemical Technology, Beijing, ChinaORCID Iconhttps://orcid.org/0000-0002-8014-7170View further author information
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Tao Chena School of Information Science, Beijing University of Chemical Technology, Beijing, Chaoyang, China;b Key Laboratory of Image Interpretation and Intelligent Processing, Beijing University of Chemical Technology, Beijing, ChinaORCID Iconhttps://orcid.org/0000-0002-4625-4781View further author information
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Yiran Liua School of Information Science, Beijing University of Chemical Technology, Beijing, Chaoyang, China;b Key Laboratory of Image Interpretation and Intelligent Processing, Beijing University of Chemical Technology, Beijing, ChinaORCID Iconhttps://orcid.org/0009-0003-4654-6076View further author information
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Haoyu Jianga School of Information Science, Beijing University of Chemical Technology, Beijing, Chaoyang, China;b Key Laboratory of Image Interpretation and Intelligent Processing, Beijing University of Chemical Technology, Beijing, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-8807-4113View further author information
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Pages 5788-5813 | Received 08 Jun 2023, Accepted 22 Aug 2023, Published online: 20 Sep 2023

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Read on this site (1)

Tuerhong Yiming, Xiaoyan Tang & Haibin Shang. (2024) A shape-aware enhancement Vision Transformer for building extraction from remote sensing imagery. International Journal of Remote Sensing 45:4, pages 1250-1276.
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Articles from other publishers (1)

K. Madhan Kumar. (2023) RoadTransNet: advancing remote sensing road extraction through multi-scale features and contextual information. Signal, Image and Video Processing.
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