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ETHNOS_APP

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Shuaizhi Zhai

Dados Biográficos

ID9965995
NOMEShuaizhi Zhai
PRENOMESShuaizhi
SOBRENOMEZhai
ASSINATURAZHAI S
AFILIAÇÕESShenyang Jianzhu University
ORCID0009-0000-3050-3432
VERIFICADOSim
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2024
ANO MAIS RECENTE DE PUBLICAÇÃO2024
ÍNDICE H0
  • Urban Land Use Classification Model Fusing Multimodal Deep Features

    Open Access•Yougui Ren, Zhiwei Xie et al.•ARTICLE•ISPRS International Journal of…•2024

    Urban land use classification plays a significant role in urban studies and provides key guidance for urban development. However, existing methods predominantly rely on either raster structure deep features through convolutional neural networks (CNNs) or topological structure deep features through graph neural networks (GNNs), making it challenging to comprehensively capture the rich semantic information in remote sensing images. To address this …

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  • Urban Land Use Classification Model Fusing Multimodal Deep Features

    Open Access•Yougui Ren, Zhiwei Xie et al.•ARTICLE•ISPRS International Journal of…•2024

    Urban land use classification plays a significant role in urban studies and provides key guidance for urban development. However, existing methods predominantly rely on either raster structure deep features through convolutional neural networks (CNNs) or topological structure deep features through graph neural networks (GNNs), making it challenging to comprehensively capture the rich semantic information in remote sensing images. To address this …

Artificial Intelligence (1 obra) · Computer Science (1 obra) · Geographic Information Systems Studies (1 obra) · Geography (1 obra) · Human Mobility and Location-Based Analysis (1 obra) · Remote-Sensing Image Classification (1 obra)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae