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Ruifang Deng

Dados Biográficos

ID9885874
NOMERuifang Deng
PRENOMESRuifang
SOBRENOMEDeng
ASSINATURADENG R
AFILIAÇÕESYunnan Normal University
VERIFICADONão
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2024
ANO MAIS RECENTE DE PUBLICAÇÃO2024
ÍNDICE H0
  • Research on Land Use and Land Cover Information Extraction Methods for Remote Sensing Images Based on Improved Convolutional Neural Networks

    Open Access•Xue Ding, Zhaoqian Wang et al.•ARTICLE•ISPRS International Journal of…•2024

    To address the challenges that convolutional neural networks (CNNs) face in extracting small objects and handling class imbalance in remote sensing imagery, this paper proposes a novel spatial contextual information and multiscale feature fusion encoding–decoding network, SCIMF-Net. Firstly, SCIMF-Net employs an improved ResNeXt-101 deep backbone network, significantly enhancing the extraction capability of small object features. Next, a novel PM…

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  • Research on Land Use and Land Cover Information Extraction Methods for Remote Sensing Images Based on Improved Convolutional Neural Networks

    Open Access•Xue Ding, Zhaoqian Wang et al.•ARTICLE•ISPRS International Journal of…•2024

    To address the challenges that convolutional neural networks (CNNs) face in extracting small objects and handling class imbalance in remote sensing imagery, this paper proposes a novel spatial contextual information and multiscale feature fusion encoding–decoding network, SCIMF-Net. Firstly, SCIMF-Net employs an improved ResNeXt-101 deep backbone network, significantly enhancing the extraction capability of small object features. Next, a novel PM…

Artificial Intelligence (1 obra) · Artificial neural network (1 obra) · Civil engineering (1 obra) · Computer Science (1 obra) · Convolutional neural network (1 obra) · Engineering (1 obra) · Environmental Changes in China (1 obra) · Geography (1 obra) · Information extraction (1 obra) · Land cover (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