This article discusses the growing use of satellite-based imaging and the need for improved methods to extract information from the large amount of data being produced. It focuses on the use of deep learning for image segmentation in various imaging modalities, such as SARs and optical sensors. The article also highlights the challenges that still need to be addressed in this field.