Share Email Print
cover

Proceedings Paper

Wavelet-based filter for SAR speckle reduction and the comparative evaluation on its performance
Author(s): Yanchen Bo; Jinfeng Wang; Caiying Zhu; Yong Ge
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Speckle noise is a common phenomenon in SAR images. The reduction of Speckle is necessary for any further processing of SAR image such as segmentation, classification and other procedures for information extraction. In this paper, after a brief review of conventional filters for SAR speckle reduction, a wavelet-based soft-thresholding filter for SAR speckle reduction is presented. To evaluate the performance of this filter, the adaptive local statistics filters, which include Lee, Frost, Enhanced Lee, Enhanced Frost, Kuan, and the Gamma-Map filter are applied to the speckle reduction for a same typical SAR image. The performances are compared in several aspects including Radiometric preservation, feature preservation, speckle reduction in extended uniform regions and the absence of artifacts. The results show that the wavelet-based speckle reduction filter performs better in every aspect in evaluation than the conventional filters do.

Paper Details

Date Published: 14 March 2003
PDF: 10 pages
Proc. SPIE 4886, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology II, (14 March 2003); doi: 10.1117/12.462969
Show Author Affiliations
Yanchen Bo, Tsinghua Univ. (China)
Jinfeng Wang, Institute of Geographical Science and Natural Resources Research (China)
Caiying Zhu, Institute of Geographical Science and Natural Resources Research (China)
Yong Ge, Institute of Geographical Science and Natural Resources Research (China)


Published in SPIE Proceedings Vol. 4886:
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology II
Manfred Ehlers, Editor(s)

© SPIE. Terms of Use
Back to Top