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A Generalized Gaussian Coherent Scatterer Model for Correlated SAR Texture

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journal contribution
posted on 24.06.2020 by DX Yue, F Xu, Alejandro Frery, YQ Jin
© 2019 IEEE. This article proposes a generalized modeling and simulation approach for correlated synthetic aperture radar (SAR) texture based on the Gaussian coherent scatterer model. It is rooted in the physics-based coherent scatterer assumption where each observation in an SAR image is a coherent sum of multiple underlying Gaussian scatterers. The proposal generalizes existing single-point statistical models by allowing the number of scatterers to be a correlated random field. It can also generate the desired spatial correlation texture by stipulating the structure in both the Gaussian scattered field and the number of scatterers. This generalized model is derived theoretically and then validated by both simulations and experiments with SAR data from actual sensors.

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Preferred citation

(2020). A Generalized Gaussian Coherent Scatterer Model for Correlated SAR Texture. IEEE Transactions on Geoscience and Remote Sensing, 58(4), 2947-2964. https://doi.org/10.1109/TGRS.2019.2958125

Journal title

IEEE Transactions on Geoscience and Remote Sensing

Volume

58

Issue

4

Publication date

01/04/2020

Pagination

2947-2964

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication status

Published

ISSN

0196-2892

eISSN

1558-0644

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