Abstract
Oriented manmade targets can produce significant cross-polarization power. The scattering mechanism interpretation of them is still challenging. Within the framework of traditional scattering models, the scattering mechanism of oriented manmade targets will be interpreted as volume scattering. Recently, many advanced approaches have been proposed to mitigate the cross-polarization terms of the coherency matrix or distribute the power of cross-polarization to new scattering models, such as orientation angle compensation and multiple scattering components decomposition. Among these methods, the general model-based decomposition with physically meaningful double-bounce and odd-bounce scattering models has been proposed by modeling their independent orientation angles and becomes a widely accepted method. However, the two vital parameters of generalized scattering models: double- and odd-bounce orientation angles are derived through nonlinear optimization procedure. These generalized models lead to a heavy computation burden for parameters inversion. In this paper, we disclose the latent relationship between the double-bounce orientation angle and polarization orientation angle by data fitting experiments. With this simplified relationship, a refined double-bounce scattering model is established. Then, the odd-bounce orientation angle can be derived through equations. In this way, the nonlinear optimization procedure can be converted to a linear solution. A fast generalized model-based decomposition is developed thereafter. The main contribution of this work is to inherit the generalized models while speeding up the parameter calculation procedure. The comparison studies are carried out with X-band airborne PiSAR, L-band spaceborne ALOS-2, and C-band spaceborne Radarsat-2 PolSAR datasets. Compared with the state-of-the-art approaches, the proposed decomposition achieves improved interpretation performance from both visual and quantitative investigations especially for oriented built-up areas.
Highlights
State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, Academic Editor: Andreas Reigber
Introduction with regard to jurisdictional claims in Polarimetric target decomposition is a powerful tool for polarimetric synthetic aperture radar (PolSAR) data interpretation and achieves plenty of successful applications [1,2]
The orientation angle compensation (OAC), which aims at cross-polarization element minimization has been incorporated in model-based decomposition to alleviate volume-scattering overestimation [8,9]
Summary
State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, Academic Editor: Andreas Reigber. Many advanced approaches have been proposed to mitigate the cross-polarization terms of the coherency matrix or distribute the power of cross-polarization to new scattering models, such as orientation angle compensation and multiple scattering components decomposition. Among these methods, the general model-based decomposition with physically meaningful double-bounce and odd-bounce scattering models has been proposed by modeling their independent orientation angles and becomes a widely accepted method. The power of the volume-scattering component is primarily determined by the cross-polarization term within the scope of conventional scattering models [3,7] In this vein, the orientation angle compensation (OAC), which aims at cross-polarization element minimization has been incorporated in model-based decomposition to alleviate volume-scattering overestimation [8,9]. Generalized volume-scattering models have been proposed to better fit forest canopy [11,12,13,14,15], including generalized volume-scattering model (GVSM) [13], simplified Neumann volume-scattering model (SNVSM) [14], and generalized volume-scattering model with vegetation index (GRVI) [15]
Sign-in/Register to view highlights & summary 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 callDisclaimer: 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.
