As part of a requirement, I am asked to develop a multi-modal deep learning model that integrates: Sentinel-1 SAR satellite imagery Rainfall measurements River discharge / water level data to produce accurate flood segmentation maps. The Standard CNN model works this way : Convolution: Apply convolutional filters to input data to extract local features. Activation: Introduce non-linearity by applying an activation function (e.g., ReLU) to the...
Originally asked by ANKIT CHAKRABORTY on Stack Exchange (ai) (CC BY-SA 4.0).