SAR processing techniques

Synthetic Aperture Radar (SAR) processing techniques involve converting raw radar signals into detailed images of the Earth's surface. The process includes collecting signals over time as the radar moves, then using mathematical algorithms to combine these signals to simulate a large antenna, producing high-resolution images. Techniques such as motion compensation correct for platform movement, while filtering and image formation algorithms enhance clarity and detail. These methods allow for accurate surface mapping regardless of weather or daylight, making SAR invaluable for applications like geology, surveillance, and environmental monitoring.