Geometric Transforms and Their Applications to SAR Speckle Reduction

摘要

Recently, curvelets, finite ridgelets, bandlets, and beamlets have been applied for the purpose of capturing 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.