Systems and methods for synthetic aperture radar image compression

A system for image compression, comprising:

• a computing device comprising at least a memory and a processor;
• an image preprocessing subsystem comprising a first plurality of programming instructions that, when operating on the processor, cause the computing device to perform one or more image preprocessing operations on an input synthetic aperture radar (SAR) image, wherein the input SAR image comprises an in-phase component and a quadrature component;
• a discrete cosine transform (DCT) subsystem comprising a second plurality of programming instructions that, when operating on the processor, cause the computing device to:
• perform a DCT operation on the in-phase component of the input SAR image, and create a plurality of subbands for the in-phase component of the input SAR image, wherein each subband represents a frequency range;
• and
• divide the plurality of subbands into multiple groups, wherein the multiple groups comprise a first low frequency group, a second low frequency group, and a high frequency group;
• a compression subsystem comprising a third plurality of programming instructions that, when operating on the processor, cause the computing device to implement a latent feature encoding network, wherein the latent feature encoding network comprises:
• a first kernel, the first kernel configured to provide output to a first plurality of residual blocks, the first plurality of residual blocks configured to provide output to a first attention network, the first attention network configured to provide output to a second plurality of residual blocks, the second plurality of residual blocks configured to provide output to a second kernel, and the second kernel configured to provide output to a second attention network, and wherein the latent feature encoding network is configured and disposed to generate a latent space representation corresponding to the input SAR image;
• a first arithmetic coding subsystem comprising a fourth plurality of programming instructions that, when operating on the processor, cause the computing device to perform compression on one or more of the plurality of subbands, thereby creating a first compressed bitstream;
• a hyperprior latent feature summarization module configured and disposed to receive input from the second attention network, and provide a refined and disentangled representation of one or more latent features as output;
• and
• a second arithmetic coding subsystem comprising a fifth plurality of programming instructions that, when operating on the processor, cause the computing device to perform compression on the output of the hyperprior latent feature summarization module, thereby creating a second compressed bitstream;
• wherein the first compressed bitstream and second compressed bitstream together represent a compressed version of the input SAR image.