Abstract:Considering the defection of general compression algorithms which neglect the characteristics of Synthetic Aperture Radar(SAR) images, an adaptive compression algorithm based on the distribution of ocean-SAR images was proposed. According to the distribution, a quantization strategy was employed, through which target and background were retained respectively. Using the sparsity of the scene, pixels above the threshold were mapped to a triple before entropy encoding for both grayscales and locations. Then Bit Plane Encoder(BPE) was employed considering the relatively small deviation of the remaining background. Experimental results showed that the Peak Signal Noise Ratio(PSNR) of proposed algorithm was 5 dB-10 dB higher than JPEG2000 at the same bit rates. The proposed algorithm, with better contrast and lower computational complexity, is well suited to various requirements of ocean-SAR image compression.