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Analysis of SAR speckle statistics in support of image filtering and interpretation

Esch, Thomas and Schenk, Andreas and Thiel, Michael and Roth, Achim and Schmidt, Michael and Dech, Stefan (2008) Analysis of SAR speckle statistics in support of image filtering and interpretation. IGARSS 2008, 07.-11. Jul. 2008, Boston, USA.

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Abstract

This study presents an automated approach towards the evaluation of speckle noise statistics in SAR images. Based on the statistical information we derive a textural feature – the so-called speckle divergence - which describes the deviation of local speckle behavior from the scene-specific heterogeneity of fully developed speckle. We show that the speckle divergence is a valuable input parameter for adaptive speckle suppression by introducing a spatially adaptive and radiometrically selective speckle filter algorithm. Moreover the benefit of speckle divergence for both the identification of built-up areas and the generation of a color composite product on the basis of one single-polarized SAR image is presented.

Document Type:Conference or Workshop Item (Poster)
Title:Analysis of SAR speckle statistics in support of image filtering and interpretation
Authors:
AuthorsInstitution or Email of Authors
Esch, ThomasUNSPECIFIED
Schenk, AndreasUNSPECIFIED
Thiel, MichaelUNSPECIFIED
Roth, AchimUNSPECIFIED
Schmidt, MichaelUNSPECIFIED
Dech, StefanUNSPECIFIED
Date:2008
Refereed publication:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-5
Series Name:Proceedings of IGARSS 2008
Status:Published
Keywords:SAR, Speckle, Image Analysis, Filtering
Event Title:IGARSS 2008
Event Location:Boston, USA
Event Type:Conference
Event Dates:07.-11. Jul. 2008
Organizer:IGARSS
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Environment and Security
Deposited By: Dr.rer.nat. Thomas Esch
Deposited On:07 Jul 2009 08:18
Last Modified:02 Nov 2009 16:23

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