New wavelet-based superresolution algorithm for speckle reduction in SAR images
This addresses image quality issues for SAR image users, but it is incremental as it adapts an existing algorithm to a new application.
The paper tackles speckle reduction in SAR images by applying a wavelet-based superresolution algorithm (POSA) for despeckling, showing favorable results compared to other methods in experiments.
This paper describes a novel projection algorithm, the Projection Onto Span Algorithm (POSA) for wavelet-based superresolution and removing speckle (in wavelet domain) of unknown variance from Synthetic Aperture Radar (SAR) images. Although the POSA is good as a new superresolution algorithm for image enhancement, image metrology and biometric identification, here one will use it like a tool of despeckling, being the first time that an algorithm of super-resolution is used for despeckling of SAR images. Specifically, the speckled SAR image is decomposed into wavelet subbands, POSA is applied to the high subbands, and reconstruct a SAR image from the modified detail coefficients. Experimental results demonstrate that the new method compares favorably to several other despeckling methods on test SAR images.