Abstract
Polarimetric decomposition is an effective way for synthetic aperture radar (SAR) data interpretation. As for hybrid compact polarimetric (HCP) SAR, there are mainly two different types of decomposition methods, including wave-dichotomy-theorem-based and model-based. However, the existing methods are not universal because they cannot estimate volume scattering component accurately in different scenes. In order to solve this problem, a general two-stage model-based three-component HCP decomposition method (GTM) is proposed by involving Arii volume scattering model. In the first stage, a method is designed to identify the dominant scattering mechanism (surface, dihedral, and volume scattering mechanism) of each pixel according to the characteristics of the three scattering models. Then, the GTM method is solved when the three basic scattering mechanisms are dominant, respectively, in the second stage. Two simulated HCP datasets are used to verify the performance of the decomposition method. The results show that GTM can more accurately identify the dominant scattering mechanism in different regions than existing methods, and it can obtain closer results to the quad-polarimetric method.
Highlights
C OMPACT polarimetric synthetic aperture radar (SAR) is a special dual-polarimetric system and has advantages of simple system design, halved transmission power, and wider swath compared with a quad-polarimetric SAR
The nonlocal filter is utilized to reduce the impact of speckle noise
Since the scattering mechanism is more complicated for two oriented urban areas, we introduce the decomposition results of the quad-polarimetric SAR data as a reference
Summary
C OMPACT polarimetric synthetic aperture radar (SAR) is a special dual-polarimetric system and has advantages of simple system design, halved transmission power, and wider swath compared with a quad-polarimetric SAR. It can obtain more scattering information than a traditional linear dualpolarimetric SAR and sometimes achieve similar performance with quad-polarimetric SAR in many applications [1]. There are currently three different completely polarized (CP) modes, which are as follows. Manuscript received November 21, 2020; revised February 5, 2021 and March 1, 2021; accepted March 3, 2021. Date of publication March 11, 2021; date of current version May 20, 2021.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
