Paddy Rice Mapping using Deep ResU-Net CNN Segmentation

The main objective of this study was to develop a workflow for paddy rice field mapping using a combination of high spatial and temporal optical and radar satellite data in a deep-learning residual CNN model.本研究的核心目标为开发一套稻田制图工作流，该工作流结合高时空分辨率光学与雷达卫星数据，并采用深度学习残差卷积神经网络（Residual CNN）模型。