Hasil Pencarian - Ming-Der Yang

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  1. 1
    Application of Morphological Segmentation to Leaking Defect Detection in Sewer Pipelines

    Application of Morphological Segmentation to Leaking Defect Detection in Sewer Pipelines oleh Tung-Ching Su, Ming-Der Yang

    Diterbitkan 2014-05-01
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  2. 2
    Post-earthquake spatio-temporal landslide analysis of Huisun Experimental Forest Station

    Post-earthquake spatio-temporal landslide analysis of Huisun Experimental Forest Station oleh Ming-Der Yang Hui-Ping Tsai

    Diterbitkan 2019-01-01
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  3. 3
    Integrating MNF and HHT Transformations into Artificial Neural Networks for Hyperspectral Image Classification

    Integrating MNF and HHT Transformations into Artificial Neural Networks for Hyperspectral Image Classification oleh Ming-Der Yang, Kai-Hsiang Huang, Hui-Ping Tsai

    Diterbitkan 2020-07-01
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  4. 4
    A Long-Term Vegetation Recovery Estimation for Mt. Jou-Jou Using Multi-Date SPOT 1, 2, and 4 Images

    A Long-Term Vegetation Recovery Estimation for Mt. Jou-Jou Using Multi-Date SPOT 1, 2, and 4 Images oleh Ming-Der Yang, Su-Chin Chen, Hui Ping Tsai

    Diterbitkan 2017-08-01
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  5. 5
    Exploring Long Term Spatial Vegetation Trends in Taiwan from AVHRR NDVI3g Dataset Using RDA and HCA Analyses

    Exploring Long Term Spatial Vegetation Trends in Taiwan from AVHRR NDVI3g Dataset Using RDA and HCA Analyses oleh Hui Ping Tsai, Yu-Hao Lin, Ming-Der Yang

    Diterbitkan 2016-03-01
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  6. 6
    Fusion of Infrared Thermal Image and Visible Image for 3D Thermal Model Reconstruction Using Smartphone Sensors

    Fusion of Infrared Thermal Image and Visible Image for 3D Thermal Model Reconstruction Using Smartphone Sensors oleh Ming-Der Yang, Tung-Ching Su, Hung-Yu Lin

    Diterbitkan 2018-06-01
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  7. 7
    Geostatistical Based Models for the Spatial Adjustment of Radar Rainfall Data in Typhoon Events at a High-Elevation River Watershed

    Geostatistical Based Models for the Spatial Adjustment of Radar Rainfall Data in Typhoon Events at a High-Elevation River Watershed oleh Keh-Han Wang, Ted Chu, Ming-Der Yang, Ming-Cheng Chen

    Diterbitkan 2020-05-01
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  8. 8
    Semantic Segmentation Using Deep Learning with Vegetation Indices for Rice Lodging Identification in Multi-date UAV Visible Images

    Semantic Segmentation Using Deep Learning with Vegetation Indices for Rice Lodging Identification in Multi-date UAV Visible Images oleh Ming-Der Yang, Hsin-Hung Tseng, Yu-Chun Hsu, Hui Ping Tsai

    Diterbitkan 2020-02-01
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  9. 9
    Geometric Recognition of Moving Objects in Monocular Rotating Imagery Using Faster R-CNN

    Geometric Recognition of Moving Objects in Monocular Rotating Imagery Using Faster R-CNN oleh Tzu-Yi Chuang, Jen-Yu Han, Deng-Jie Jhan, Ming-Der Yang

    Diterbitkan 2020-06-01
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  10. 10
    An Efficient Fitness Function in Genetic Algorithm Classifier for Landuse Recognition on Satellite Images

    An Efficient Fitness Function in Genetic Algorithm Classifier for Landuse Recognition on Satellite Images oleh Ming-Der Yang, Yeh-Fen Yang, Tung-Ching Su, Kai-Siang Huang

    Diterbitkan 2014-01-01
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  11. 11
    Timely and Quantitative Damage Assessment of Oyster Racks Using UAV Images

    Timely and Quantitative Damage Assessment of Oyster Racks Using UAV Images oleh Ming-Der Yang, Kai-Siang Huang, Jin Wan, Hui Ping Tsai, Liang-Mao Lin

    Diterbitkan 2018-01-01
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  12. 12
    Quantifying Flood Water Levels Using Image-Based Volunteered Geographic Information

    Quantifying Flood Water Levels Using Image-Based Volunteered Geographic Information oleh Yan-Ting Lin, Ming-Der Yang, Jen-Yu Han, Yuan-Fong Su, Jiun-Huei Jang

    Diterbitkan 2020-02-01
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  13. 13
    Spatial and Spectral Hybrid Image Classification for Rice Lodging Assessment through UAV Imagery

    Spatial and Spectral Hybrid Image Classification for Rice Lodging Assessment through UAV Imagery oleh Ming-Der Yang, Kai-Siang Huang, Yi-Hsuan Kuo, Hui Ping Tsai, Liang-Mao Lin

    Diterbitkan 2017-06-01
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  14. 14
    Rice Seedling Detection in UAV Images Using Transfer Learning and Machine Learning

    Rice Seedling Detection in UAV Images Using Transfer Learning and Machine Learning oleh Hsin-Hung Tseng, Ming-Der Yang, R. Saminathan, Yu-Chun Hsu, Chin-Ying Yang, Dong-Hong Wu

    Diterbitkan 2022-06-01
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  15. 15
    A UAV Open Dataset of Rice Paddies for Deep Learning Practice

    A UAV Open Dataset of Rice Paddies for Deep Learning Practice oleh Ming-Der Yang, Hsin-Hung Tseng, Yu-Chun Hsu, Chin-Ying Yang, Ming-Hsin Lai, Dong-Hong Wu

    Diterbitkan 2021-04-01
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  16. 16
    Assessment of Grain Harvest Moisture Content Using Machine Learning on Smartphone Images for Optimal Harvest Timing

    Assessment of Grain Harvest Moisture Content Using Machine Learning on Smartphone Images for Optimal Harvest Timing oleh Ming-Der Yang, Yu-Chun Hsu, Wei-Cheng Tseng, Chian-Yu Lu, Chin-Ying Yang, Ming-Hsin Lai, Dong-Hong Wu

    Diterbitkan 2021-08-01
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  17. 17
    Controlling the lodging risk of rice based on a plant height dynamic model

    Controlling the lodging risk of rice based on a plant height dynamic model oleh Dong-Hong Wu, Chung-Tse Chen, Ming-Der Yang, Yi-Chien Wu, Chia-Yu Lin, Ming-Hsin Lai, Chin-Ying Yang

    Diterbitkan 2022-08-01
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  18. 18
    Prediction of Plant Nutrition State of Rice under Water-Saving Cultivation and Panicle Fertilization Application Decision Making

    Prediction of Plant Nutrition State of Rice under Water-Saving Cultivation and Panicle Fertilization Application Decision Making oleh Guan-Sin Li, Dong-Hong Wu, Yuan-Chih Su, Bo-Jein Kuo, Ming-Der Yang, Ming-Hsin Lai, Hsiu-Ying Lu, Chin-Ying Yang

    Diterbitkan 2021-08-01
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  19. 19
    Assessment of Rice Developmental Stage Using Time Series UAV Imagery for Variable Irrigation Management

    Assessment of Rice Developmental Stage Using Time Series UAV Imagery for Variable Irrigation Management oleh Chin-Ying Yang, Ming-Der Yang, Wei-Cheng Tseng, Yu-Chun Hsu, Guan-Sin Li, Ming-Hsin Lai, Dong-Hong Wu, Hsiu-Ying Lu

    Diterbitkan 2020-09-01
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  20. 20
    The Application of an Unmanned Aerial System and Machine Learning Techniques for Red Clover-Grass Mixture Yield Estimation under Variety Performance Trials

    The Application of an Unmanned Aerial System and Machine Learning Techniques for Red Clover-Grass Mixture Yield Estimation under Variety Performance Trials oleh Kai-Yun Li, Niall G. Burnside, Raul Sampaio de Lima, Miguel Villoslada Peciña, Karli Sepp, Ming-Der Yang, Janar Raet, Ants Vain, Are Selge, Kalev Sepp

    Diterbitkan 2021-05-01
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