DocumentCode
484120
Title
Non-Parameter Correlation Analysis in Polarimetric Signature and its Application to Change Detection in Polarimetric SAR
Author
Tian, Bangsen ; Li, Zhen ; Wang, Yongqian
Author_Institution
Grad. Univ. of Chinese Acad. of Sci., Beijing
Volume
2
fYear
2008
fDate
7-11 July 2008
Abstract
Gonradsen et al. developed a change detection method with multilook fully polarimetric Synthetic Aperture Radar (SAR) data. The method is based on complex Wishart distribution supposition limits the applicable scope of test statistic, especially when only polarimetric diversity (the texture and speckle statistics depend on polarization) and not radiometric diversity. On the other hand, the polarization signature has the capability of representation of the polarimetric diversity. A new test statistic for equality of two polarization signature is proposed in this paper. Without statistical distribution hypothesis, it can give the associated asymptotic probability measure as the Conradsen´s method just by non-parameter correlation analysis. Some experiments have been done in this paper with ALOS-PALSAR data by two different algorithms. It has been shown that the new method is effective.
Keywords
correlation methods; radar polarimetry; remote sensing by radar; synthetic aperture radar; ALOS-PALSAR data; Conradsen´s method; change detection; complex Wishart distribution; nonparameter correlation analysis; polarimetric SAR; polarimetric signature; synthetic aperture radar; Polarimetric synthetic aperture radar; Polarization; Probability; Radar detection; Radiometry; Speckle; Statistical analysis; Statistical distributions; Synthetic aperture radar; Testing; ALOS-PALSAR; radar polarimetry; remote sensing change detection; test statistic;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location
Boston, MA
Print_ISBN
978-1-4244-2807-6
Electronic_ISBN
978-1-4244-2808-3
Type
conf
DOI
10.1109/IGARSS.2008.4779138
Filename
4779138
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