DocumentCode
3061823
Title
A four-component decomposition integrating selective deorientation and generalized volume scattering
Author
Xiaodong Huang ; Xiuguo Liu ; Qihao Chen
Author_Institution
Fac. of Inf. Eng., China Univ. of Geosci., Wuhan, China
fYear
2013
fDate
21-26 July 2013
Firstpage
2447
Lastpage
2450
Abstract
In this paper, we proposed an Integrated Four-component Model-based Decomposition (IFMD) based on multi-look covariance matrix integrating the selective de-orientate and the generalized volume scattering. Firstly, a generalized volume scattering model (GVSM) is adopted to substitute the volume scattering of Freeman Decomposition. Then, the Cross Polarization Correlation Coefficient is adopted as a criterion to judge whether the target is reflection symmetric and we only de-orientate those non-reflection symmetric targets. For targets still being non-reflection symmetric after the de-orientation, the helix scattering is exploit to compensate the non-reflection symmetric components. Finally, the power constrain procedures are added to eliminate the negative pixels completely. The effectiveness of the IFMD is demonstrated by the L band airborne E-SAR data.
Keywords
airborne radar; covariance matrices; decomposition; radar polarimetry; scattering; synthetic aperture radar; GVSM; IFMD; L band airborne E-SAR data; cross polarization correlation coefficient; freeman decomposition; generalized volume scattering model; helix scattering; integrated four-component model-based decomposition; multilook covariance matrix; nonreflection symmetric target; reflection symmetric target; Correlation coefficient; Covariance matrices; Image color analysis; Reflection; Remote sensing; Scattering; Solid modeling; De-orientation; Freeman Decomposition; Generalized Volume Scattering;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location
Melbourne, VIC
ISSN
2153-6996
Print_ISBN
978-1-4799-1114-1
Type
conf
DOI
10.1109/IGARSS.2013.6723315
Filename
6723315
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