Geometric transforms and their applications to SAR speckle reduction
Glenn R. Easley, Flavia Colonna · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2003
Recently, curvelets, finite ridgelets, bandlets, and beamlets have been suggested as transforms that capture more information than traditional wavelet transforms for two or higher dimensional images. In this work, we explore several of these transforms with some new variants. In particular, we study the effectiveness of these transforms in reducing a particular type of noise known as speckle that is present in synthetic aperture radar (SAR) imagery.