sar speckle reduction and image reconstruction using compressed sensing

نویسندگان

احمد شفیعی

احسان یزدیان

مجتبی بهشتی

چکیده

speckle is a granular disturbance in coherent images such as synthetic aperture radar (sar) images, modeled as a multiplicative noise. this noise degrades the sar image and complicates the image exploitation using automated image analysis techniques. several approaches have been developed to reduce the effect of speckle noise. recently, the application of compressed sensing (cs) is explored in sar signal processing. in this paper, a cs-based method for speckle reduction is proposed. in this method, the image background as well as the bright point targets is also reconstructed. the important feature of the proposed method is joint noise reduction and sar image formation. moreover, using simulated and real sar images, the performance of the proposed method in noise reduction and preserving image features are evaluated.

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