New wavelet-based superresolution algorithm for speckle reduction in SAR images
Abstract
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.
Cite
@article{arxiv.1608.00270,
title = {New wavelet-based superresolution algorithm for speckle reduction in SAR images},
author = {Mario Mastriani},
journal= {arXiv preprint arXiv:1608.00270},
year = {2016}
}
Comments
8 pages, 6 figures, 1 table. arXiv admin note: substantial text overlap with arXiv:1607.03105, arXiv:1608.00273, arXiv:1608.00279, arXiv:1608.00277