Hasil Pencarian - Xingli Qin

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  1. 1
    Global de-trending significantly improves the accuracy of XGBoost-based county-level maize and soybean yield prediction in the Midwestern United States

    Global de-trending significantly improves the accuracy of XGBoost-based county-level maize and soybean yield prediction in the Midwestern United States oleh Yuanchao Li, Hongwei Zeng, Miao Zhang, Bingfang Wu, Xingli Qin

    Diterbitkan 2024-12-01
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  2. 2
    A Novel Relational-Based Transductive Transfer Learning Method for PolSAR Images via Time-Series Clustering

    A Novel Relational-Based Transductive Transfer Learning Method for PolSAR Images via Time-Series Clustering oleh Xingli Qin, Jie Yang, Pingxiang Li, Weidong Sun, Wei Liu

    Diterbitkan 2019-06-01
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  3. 3
    A Novel Deep Forest-Based Active Transfer Learning Method for PolSAR Images

    A Novel Deep Forest-Based Active Transfer Learning Method for PolSAR Images oleh Xingli Qin, Jie Yang, Lingli Zhao, Pingxiang Li, Kaimin Sun

    Diterbitkan 2020-08-01
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  4. 4
    Mitigating Incidence Angle Effects in Airborne SAR Time-Series Crop Classification: Integrating Transfer Learning and Variational Mode Decomposition

    Mitigating Incidence Angle Effects in Airborne SAR Time-Series Crop Classification: Integrating Transfer Learning and Variational Mode Decomposition oleh Xingli Qin, Lingli Zhao, Jie Yang, Pingxiang Li, Hongwei Zeng, Miao Zhang, Kaimin Sun

    Diterbitkan 2024-01-01
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  5. 5
    Active Pairwise Constraint Learning in Constrained Time-Series Clustering for Crop Mapping from Airborne SAR Imagery

    Active Pairwise Constraint Learning in Constrained Time-Series Clustering for Crop Mapping from Airborne SAR Imagery oleh Xingli Qin, Lingli Zhao, Jie Yang, Pingxiang Li, Bingfang Wu, Kaimin Sun, Yubin Xu

    Diterbitkan 2022-11-01
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  6. 6
    A county-level soybean yield prediction framework coupled with XGBoost and multidimensional feature engineering

    A county-level soybean yield prediction framework coupled with XGBoost and multidimensional feature engineering oleh Yuanchao Li, Hongwei Zeng, Miao Zhang, Bingfang Wu, Yan Zhao, Xia Yao, Tao Cheng, Xingli Qin, Fangming Wu

    Diterbitkan 2023-04-01
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  7. 7
    A shape-attention Pivot-Net for identifying central pivot irrigation systems from satellite images using a cloud computing platform: an application in the contiguous US

    A shape-attention Pivot-Net for identifying central pivot irrigation systems from satellite images using a cloud computing platform: an application in the contiguous US oleh Fuyou Tian, Bingfang Wu, Hongwei Zeng, Miao Zhang, Yueran Hu, Yan Xie, Congcong Wen, Zhengdong Wang, Xingli Qin, Wei Han, Honghai Yang

    Diterbitkan 2023-12-01
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