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Ruifang Deng

Datos Biográficos

ID9885874
NOMBRERuifang Deng
NOMBRESRuifang
APELLIDODeng
FIRMADENG R
AFILIACIONESYunnan Normal University
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2024
AÑO MÁS RECIENTE DE PUBLICACIÓN2024
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…

Sin obras prominentes en esta página.

  • 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 • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae