A Nested Facet Method of the Kirchhoff Approximation for Large-Scale Land Scattering

A nested facet method (NFM) of the Kirchhoff approximation (KA) is developed for land applications for signals of opportunity (SoOp) applications. This NFM follows the form of a tree data structure wherein a series of child facets are superimposed over the parent planar facet. The electric field of...

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Bibliographic Details
Published in:IEEE transactions on geoscience and remote sensing 2024, Vol.62, p.1-15
Main Authors: Boyd, Dylan Ray, Kurum, Mehmet
Format: Article
Language:English
Subjects:
Approximation
Computational modeling
Computers
Data structures
Electric fields
Microwave theory and techniques
Parameterization
Reflectometry
Rough surfaces
Scattering
signals of opportunity (SoOp)
Surface roughness
Surface topography
topography
Vectors
vegetation
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Summary:A nested facet method (NFM) of the Kirchhoff approximation (KA) is developed for land applications for signals of opportunity (SoOp) applications. This NFM follows the form of a tree data structure wherein a series of child facets are superimposed over the parent planar facet. The electric field of a parent facet is taken as the coherent sum of each child facet. The method is found to be flexible and efficient for use on consumer-grade computers, offering significant performance boosts compared to direct integration methods and is easily parallelizable. This solution to the Stratton-Chu integral can provide flexible scattering solutions in areas where analytical or statistics-based solutions may struggle to find an appropriate parameterization of the surface.
ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.2024.3369583