Enhanced systems and methods for synthetic aperture radar image compression with improved phase recovery and unwrapping

A system for compressing synthetic aperture radar (SAR) images with enhanced phase recovery, comprising:

• a computing device comprising at least a memory and a processor;
• a plurality of programming instructions stored in the memory and operable on the processor, wherein the plurality of programming instructions, when operating on the processor, cause the computing device to:
• receive an input SAR image comprising complex-valued data;
• perform one or more preprocessing operations on the input SAR image;
• transform the preprocessed SAR image into a frequency domain representation;
• implement a multi-stage compression technique using one or more neural networks to process amplitude information;
• extract phase information from the input SAR image;
• utilize at least one feature fusion mechanism to enhance information integration across different components of the SAR image data;
• employ a phase processing neural network that utilizes both compressed amplitude information and phase information to produce processed phase data;
• implement a context recovery subsystem with one or more loss functions optimized for both amplitude and phase recovery;
• generate at least one compressed representation of the processed SAR image data;
• jointly train the neural networks and other trainable components using a combined loss function that optimizes both amplitude and phase recovery;
• and
• reconstruct the SAR image from the compressed representation with enhanced phase information.