Synthetic aperture radar (SAR) image processing is a technically complex task that involves transforming raw data into usable products for specific applications, including advanced artificial intelligence (AI) systems. Due to the nature of SAR images, which are formed from reflected radar signals, processing must address challenges such as noise, geometric distortions, and polarimetric interpretation. In…
Synthetic aperture radar (SAR) image processing is a technically complex task that involves transforming raw data into usable products for specific applications, including advanced artificial intelligence (AI) systems. Due to the nature of SAR images, which are formed from reflected radar signals, processing the data is complex and requires little effort.
SAR (Synthetic Aperture Radar) images have become an essential tool in multiple sectors, from environmental monitoring to defense and national security. This type of satellite technology offers unique advantages that make it essential for obtaining accurate data about the Earth's surface, without depending on weather or climate conditions.