Characterization of natural and manmade targets from L-band ground-based polarimetric synthetic aperture radar data

Demirci, Şevket; Yılmaz, Betül; Işıker, Hakan; Gokkan, Serhat; Özdemir, Caner

doi:10.1117/1.jrs.13.044512

Cited by 2 publications

(1 citation statement)

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“…In our previous study (Demirci et al 2019), we therefore, tested the potential of the two of the most widely used techniques namely; Pauli and eigenvalue/eigenvector decomposition with data from a fully-controlled GB-SAR experiment. In this paper, we extend this analysis by including Krogager decomposition (Krogager 1990) and Freeman-Durden decomposition (Freeman and Durden 1998), so that comparisons can be made.…”

Section: Introductionmentioning

confidence: 99%

An investigation of the performances of polarimetric target decompositions using GB-SAR imaging

Demirci

Özdemir

2021

International Journal of Engineering and Geosciences

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Ground-based synthetic aperture radar (GB-SAR) systems are mostly utilized to be practical practices in improved understanding of the complex mechanism of microwave backscattering. They also provide complementary information on evaluating the validity of the polarimetric analysis of air-borne or satellite-borne SAR applications. This study investigates some capabilities of polarimetric L-band GB-SAR imaging by testing its performance against a typical terrain and various kinds of manmade targets. Trihedral corner reflectors are also included in the analyses because of their importance in data calibration. Polarimetric backscattering signatures of different targets are analyzed in terms of qualitative assessment of amplitude images and identification and classification of scattering mechanisms through target decomposition techniques. The findings of these analyses and detailed discussions are presented. Specifically, the entropy/meanalpha (( / ̅)) classification results are shown to be capable of clearly identifying the dominant scattering mechanisms occurring within the investigated scene.

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Section: Introductionmentioning

confidence: 99%