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13 та иш

Иш: Balancing Redundancy Reduction and Feature Retention: a Pca-Svm Approach to Hyperspectral Image Classification

  1. CSTFNet: A CNN and Dual Swin-Transformer Fusion Network for Remote Sensing Hyperspectral Data Fusion and Classification of Coastal Areas

    Dekai Li, Harold Neira-Molina, Mengxing Huang +7

    Мақола20253 иқтибос
    ABI

  2. Remote sensing-enhanced transfer learning approach for agricultural damage and change detection: A deep learning perspective

    Zehua Liu, Jiuhao Li, Mahmood Ashraf +5

    Мақола20242 иқтибос
    ABI

  3. Studying long term relationship between carbon Emissions, Soil, and climate Change: Insights from a global Earth modeling Framework

    Huimin Han, Zeeshan Zeeshan, Bandeh Ali Talpur +5

    Мақола20242 иқтибос
    ABI

  4. Abnormal Crops Image Data Acquisition Strategy by Exploiting Edge Intelligence and Dynamic-Static Synergy in Smart Agriculture

    Xiaomin Li, Bingfa Hou, Hao Tang +7

    Мақола20242 иқтибос
    ABI

  5. Advanced Plant Disease Segmentation in Precision Agriculture Using Optimal Dimensionality Reduction With Fuzzy C-Means Clustering and Deep Learning

    Mughair Aslam Bhatti, Zeeshan Zeeshan, Syam M.S. +7

    Мақола20242 иқтибос
    ABI

  6. Hyperspectral Remote Sensing Data Analysis and Future Challenges

    José M. Bioucas‐Dias, Antonio Plaza, Gustau Camps‐Valls +3

    Мақола20132 иқтибос
    ABI

  7. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  8. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  9. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  10. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  11. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  12. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  13. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI