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Proceedings Paper

Geometric transforms and their applications to SAR speckle reduction
Author(s): Glenn R. Easley; Flavia Colonna
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Paper 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.

Paper Details

Date Published: 12 September 2003
PDF: 9 pages
Proc. SPIE 5095, Algorithms for Synthetic Aperture Radar Imagery X, (12 September 2003); doi: 10.1117/12.486973
Show Author Affiliations
Glenn R. Easley, System Planning Corp. (United States)
Flavia Colonna, George Mason Univ. (United States)


Published in SPIE Proceedings Vol. 5095:
Algorithms for Synthetic Aperture Radar Imagery X
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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