Geometric transforms and their applications to SAR speckle reduction

Glenn R. Easley; Flavia Colonna

doi:10.1117/12.486973

12 September 2003 Geometric transforms and their applications to SAR speckle reduction

Glenn R. Easley, Flavia Colonna

Proceedings Volume 5095, Algorithms for Synthetic Aperture Radar Imagery X; (2003) https://doi.org/10.1117/12.486973
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

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.

Citation Download Citation

Glenn R. Easley and Flavia Colonna "Geometric transforms and their applications to SAR speckle reduction", Proc. SPIE 5095, Algorithms for Synthetic Aperture Radar Imagery X, (12 September 2003); https://doi.org/10.1117/12.486973

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available