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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
2023
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
2023
DOI:10.1109/JSTARS.2022.3224911
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Improvements in rainfall estimation over Bangkok, Thailand by merging satellite, radar, and gauge rainfall datasets with the geostatistical method
Big Earth Data,
2023
DOI:10.1080/20964471.2023.2171581
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An Efficient Cloud Classification Method Based on a Densely Connected Hybrid Convolutional Network for FY-4A
Remote Sensing,
2023
DOI:10.3390/rs15102673
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[5]
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Improvements in rainfall estimation over Bangkok, Thailand by merging satellite, radar, and gauge rainfall datasets with the geostatistical method
Big Earth Data,
2023
DOI:10.1080/20964471.2023.2171581
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[6]
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Hail detection from Meteosat satellite imagery using a deep learning neural network and a new remote sensing index
Advances in Space Research,
2023
DOI:10.1016/j.asr.2023.06.016
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[7]
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All-Day Cloud Classification via a Random Forest Algorithm Based on Satellite Data from CloudSat and Himawari-8
Atmosphere,
2023
DOI:10.3390/atmos14091410
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[8]
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Cloud-Type Classification for Southeast China Based on Geostationary Orbit EO Datasets and the LighGBM Model
Remote Sensing,
2023
DOI:10.3390/rs15245660
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A Cloud Classification Method Based on a Convolutional Neural Network for FY-4A Satellites
Remote Sensing,
2022
DOI:10.3390/rs14102314
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A Cloud Classification Method Based on a Convolutional Neural Network for FY-4A Satellites
Remote Sensing,
2022
DOI:10.3390/rs14102314
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A Preliminary Comparative Study on the Feasibility of a Multipurpose Numerical Weather Model for Prediction of Cumulonimbus Clouds in Indonesia
2022 International Conference on Science and Technology (ICOSTECH),
2022
DOI:10.1109/ICOSTECH54296.2022.9829049
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[12]
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Domain Adaptation on Multiple Cloud Recognition From Different Types of Meteorological Satellite
Frontiers in Earth Science,
2022
DOI:10.3389/feart.2022.947032
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[13]
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Pointshift: Point-Wise Shift MLP for Pixel-Level Cloud Type Classification in Meteorological Satellite Imagery
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium,
2022
DOI:10.1109/IGARSS46834.2022.9883178
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[14]
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Low Cloud Detection in Multilayer Scenes Using Satellite Imagery with Machine Learning Methods
Journal of Atmospheric and Oceanic Technology,
2022
DOI:10.1175/JTECH-D-21-0084.1
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A cloud classification method based on random forest for FY-4A
International Journal of Remote Sensing,
2021
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Toward More Integrated Utilizations of Geostationary Satellite Data for Disaster Management and Risk Mitigation
Remote Sensing,
2021
DOI:10.3390/rs13081553
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Using the Ship-Gram Model for Japanese Keyword Extraction Based on News Reports
Complexity,
2021
DOI:10.1155/2021/9965843
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Vecnet: A Spectral and Multi-Scale Spatial Fusion Deep Network for Pixel-Level Cloud Type Classification in Himawari-8 Imagery
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS,
2021
DOI:10.1109/IGARSS47720.2021.9554737
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[19]
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The semi-diurnal cycle of deep convective systems over Eastern China and its surrounding seas in summer based on an automatic tracking algorithm
Climate Dynamics,
2021
DOI:10.1007/s00382-020-05474-1
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Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCS
Remote Sensing,
2020
DOI:10.3390/rs12020316
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Sea Fog Detection Based on Normalized Difference Snow Index Using Advanced Himawari Imager Observations
Remote Sensing,
2020
DOI:10.3390/rs12091521
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[22]
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Evaluation of Cloud Type Classification Based On Split Window Algorithm Using Himawari-8 Satellite Data
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium,
2019
DOI:10.1109/IGARSS.2019.8898451
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[23]
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Comparison of Aqua/Terra MODIS and Himawari-8 Satellite Data on Cloud Mask and Cloud Type Classification Using Split Window Algorithm
Remote Sensing,
2019
DOI:10.3390/rs11242944
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