Near-lossless compression of SAR imagery using gradient adaptive lattice filters

Synthetic aperture radar (SAR) data collections can cover large areas at high resolution, generating massive amounts of data. Many effective compression techniques exist that can reduce the volume of data for storage and transmission with slight loss of information. This paper addresses a near-lossless three-stage SAR compression scheme. The first stage uses a gradient adaptive lattice filter to decorrelate the data. In the second stage, the residue is then subject to quantization. Finally, the quantized residue is entropy coded.