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Rough surface reconstruction at grazing angles by an iterated marching method.

dc.creatorChen, Yuxuan
dc.creatorSpivack, Mark
dc.date.accessioned2018-02-09
dc.date.accessioned2018-11-24T23:21:08Z
dc.date.available2018-04-30T08:40:59Z
dc.date.available2018-11-24T23:21:08Z
dc.date.issued2018-04
dc.identifierhttps://www.repository.cam.ac.uk/handle/1810/275329
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/123456789/3703
dc.description.abstractAn iterated marching method is presented for reconstruction of rough perfectly reflecting 1-dimensional surfaces from scattered data arising from a scalar wave at grazing incidence. This is based on coupled inte- gral equations adapted from an earlier approach using the parabolic equation, relating the scattered field at a plane to the unknown surface. Taking the flat surface as an initial guess, these are solved here using at most three iterations. The method is applied to scattered field data generated from the full Helmholtz equations. This approach improves stability and self-consistency. The reconstructed surface profiles are found to be in good agreement with the exact forms. The sensitivity with respect to random noise is also investigated, and the algorithm is found to exhibit a type of self-regularization.
dc.publisherOptical Society of America
dc.publisherJournal of the Optical Society of America. A, Optics, image science, and vision
dc.titleRough surface reconstruction at grazing angles by an iterated marching method.
dc.typeArticle


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