Abstract

As an improvement of the four-component scattering power decomposition with rotation of coherency matrix (Y4R) and extension of volume model (S4R), the general four-component decomposition with unitary transformation (G4U) was devised to make the full use of the polarimetric information in coherency matrix. This article enables an extension to G4U by deriving the scattering balance equation system in G4U to investigate the role of unitary transformation first. Despite self-contained, the scattering balance equation system in Y4R and S4R is independent of the ${T}_{13}$ entry of coherency matrix. To include ${T}_{13}$ in decomposition, the unitary transformation in G4U adds a ${T}_{13}$ -related but redundant balance equation into the original system. As a result, ${T}_{13}$ is accounted for by G4U, and we attain no exact solution to the equation system but some approximate ones. By deducing the general expression of the approximate solutions, a generalized G4U (GG4U) is then created and denoted as ${G}({\psi })$ . The decomposition constant $\psi $ determines a GG4U by producing a $\psi $ -rotated double-bounce scattering matrix. We treat this as the scattering preference of $\mathcal {G}({\psi })$ to characterize the physical mechanism. By assigning appropriate values to $\psi $ , we attain GG4U of different preferences, while ${G}({0})$ and ${G}({+} {\pi }/{8})$ just correspond to S4R and G4U. A dual G4U ${G}(-{\pi }/{8})$ is also achieved. The duality ${G}({\pm }{\pi }/{8})$ provides us an adaptive improvement to both G4U and S4R by strengthening the double-bounce scattering over urban and building area while enhancing the surface scattering over water and land area. Both theoretical derivation and experiments on ten polarimetric synthetic aperture radar data sets validate the outperformance. Nonetheless, for whatever unitary transformation employed, there is, forever, a ${T}_{13}$ -related residual component in GG4U. Thus, the incorporation of unitary transformation into Y4R and S4R for the full modeling of polarimetric information is impossible in theory only when the canonical scattering model with nonzero $(\mathrm {1, 3})$ entry of coherency matrix is used to add the balance equation system an independent ${T}_{13}$ -related equation rather than a redundant one.

Highlights

  • P OLARIMETRIC incoherent target decomposition plays an important role in the recognition and discrimination of the mixed radar targets [1]–[4]

  • The issue of the full use of polarimetric information concentrates on the complete coverage of the nine degrees of freedom (DoF) of coherency or covariance matrix into the accounted scattering models [24]

  • We test generalized G4U (GG4U) by comparing s extended Y4R (S4R), G4U, dual G4U (DG4U), and extended G4U (EG4U) on C-band Radarsat-2 data of San Francisco acquired on April 9, 2008

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Summary

INTRODUCTION

P OLARIMETRIC incoherent target decomposition plays an important role in the recognition and discrimination of the mixed radar targets [1]–[4]. In comparison with the four-component model-based decompositions such as S4R and Y4R, G4U could enhance double-bounce scattering power over urban area while enhancing the surface scattering contribution over area where surface scattering is preferable. The general solution indicates that G4U cannot always enhance the double-bounce scattering power over urban area nor strengthen the surface scattering power over area, where surface scattering is preferable unless we adaptively integrate G4U and DG4U for an extended G4U (EG4U). Both the mathematic derivation and experiments on real data demonstrate EG4U outperformance over S4R and G4U. The parameter 2φ is obtained by minimizing T33 [31]

Y4R and S4R
FROM G4U TO GG4U
Generalized Decomposition
Special Decompositions
Physical Mechanism
Theoretical Evaluation of S4R and G4U on PS and PD
EG4U: Adaptive Combination of G4U and DG4U
EXPERIMENTS AND VALIDATION
Conservation Versus Nonconservation
GG4U Versus S4R
DISCUSSION
Findings
VIII. CONCLUSION
Full Text
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