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Noncircularity Parameters and Their Potential Applications in UHR MMW SAR Data Sets

Abstract : Information containing in the complex data is seldom considered by researchers when dealing with single synthetic aperture radar (SAR) image processing. In 2015, the statistical noncircularity, which indicates the distribution consistency between the real and imaginary parts, has been found to be surprisingly effective when analyzing the ultrahigh-resolution (UHR) millimeter-wave (MMW) SAR data set, particularly for man-made structures. However, the proposed parameter can only measure the overall noncircular level, which is inadequate to separate different noncircular behaviors. Moreover, its extraction method based on the complex generalized Gaussian distribution is very time consuming and thus makes it hard to be applied. Therefore, in this letter, we present a much simpler and more universal way to compute the noncircularity level and propose three specific parameters to specifically denote different noncircular behaviors. We also give two examples based on the real Chinese UHR MMW SAR (CUM-SAR) data set to show the abilities of the noncircularity level parameter and one example to show the preliminary ability of the specific noncircular parameters. Finally, the potentials and future application directions of these parameters are discussed. We believe that noncircularity parameters will benefit various research areas and promote the applications of UHR MMW SAR systems. © 2016 IEEE.
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Contributor : Laurent Jonchère Connect in order to contact the contributor
Submitted on : Thursday, October 13, 2016 - 12:00:26 PM
Last modification on : Sunday, June 26, 2022 - 12:30:34 AM



W. Wu, Xiaojian Li, H. Guo, Laurent Ferro-Famil, L. Zhang. Noncircularity Parameters and Their Potential Applications in UHR MMW SAR Data Sets. IEEE Geoscience and Remote Sensing Letters, 2016, 13 (10), pp.1547--1551. ⟨10.1109/LGRS.2016.2595762⟩. ⟨hal-01380636⟩



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