DocumentCode
3379848
Title
SAR image despeckling using the multiscale edge representation
Author
Rogers, Laura S. ; Johnston, Carolyn
Author_Institution
Vexcel Corp., Boulder, CO, USA
Volume
1
fYear
1998
fDate
6-10 Jul 1998
Firstpage
10
Abstract
The authors compare a despeckling technique which employs a wavelet algorithm, the Multiscale Edge Representation (MER), to several adaptive spatial filters. The authors have seen positive- results in using the MER as part of a speckle reduction technique and include a comparison of the effects of speckle edge removal to speckle edge reduction. Speckle is modeled as multiplicative Gaussian noise. Simulated images are used to quantitatively evaluate despeckling methods in a number of measures including reduction of the image standard deviation in homogeneous regions, maximization of the signal to mean squared error and preservation of the image mean and histogram shape. The authors´ findings indicate that the MER is an effective, tunable, edge preserving despeckling technique
Keywords
geophysical signal processing; geophysical techniques; radar imaging; remote sensing by radar; spaceborne radar; speckle; synthetic aperture radar; wavelet transforms; adaptive spatial filter; despeckling; geophysical measurement technique; land surface; multiplicative Gaussian noise; multiscale edge representation; radar imaging; radar remote sensing; spaceborne radar; speckle; speckle edge reduction; speckle edge removal; speckle reduction; synthetic aperture radar; terrain mapping; wavelet algorithm; Adaptive filters; Filtering; Gaussian noise; Image resolution; Joining processes; Measurement standards; Shape measurement; Spatial filters; Speckle; Synthetic aperture radar;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location
Seattle, WA
Print_ISBN
0-7803-4403-0
Type
conf
DOI
10.1109/IGARSS.1998.702781
Filename
702781
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