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A Novel Random Sampling Method for Radar Image Compression

In this paper, we propose a process of the radar image data by Random sampling. The sampling rate is far lower than Nyquist-Shannon sampling theorem, which shows that image data can be reconstructed from an extremely small set of measurements than what is generally considered necessary. Compressive Sampling is considered for signals and images that are sparse in a wavelet basis. A low complexity compression method for high resolution image based on block partition in wavelet region is proposed.