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Relevant Scatteres Characterization in SAR Images

Chaabouni-Chouayakh, Houda and Datcu, Mihai (2006) Relevant Scatteres Characterization in SAR Images. In: AIP Conference, 872, e375. AIP Publishing. MaxEnt 2006, 2006-07-08 - 2006-07-13, Paris. ISBN 978-0-7354-0371-6

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Official URL: http://djafari.free.fr/maxent2006


Recognizing scenes in a single look meter resolution Synthetic Aperture Radar (SAR) images, requires the capability to identify relevant signal signatures in condition of variable image acquisition geometry, arbitrary objects poses and configurations. Among the methods to detect relevant scatterers in SAR images, we can mention the internal coherence. The SAR spectrum splitted in azimuth generates a series of images which preserve high coherence only for particular object scattering. The detection of relevant scatterers can be done by correlation study or Independent Component Analysis (ICA) methods. The present article deals with the state of the art for SAR internal correlation analysis and proposes further extensions using elements of inference based on information theory applied to complex valued signals. The set of azimuth looks images is analyzed using mutual information measures and an equivalent channel capacity is derived. The localization of the “target” requires analysis in a small image window, thus resulting in imprecise estimation of the second order statistics of the signal. For a better precision, a Hausdorff measure is introduced. The method is applied to detect and characterize relevant objects in urban areas.

Item URL in elib:https://elib.dlr.de/52973/
Document Type:Conference or Workshop Item (Poster)
Title:Relevant Scatteres Characterization in SAR Images
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:8 July 2006
Journal or Publication Title:AIP Conference
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:e375
Mohammad-Djafari, ALIUNSPECIFIED
Publisher:AIP Publishing
Series Name:Bayesian Inference and Maximum Entropy Methods In Science and Engineering
Keywords:SAR, images, scatterers
Event Title:MaxEnt 2006
Event Location:Paris
Event Type:international Conference
Event Dates:2006-07-08 - 2006-07-13
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 Bildwissenschaften (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Schwarz, Gottfried
Deposited On:21 Jan 2008
Last Modified:05 Sep 2014 15:08

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