Studies of large scale random rough surface problems with the sparse-matrix flat-surface iterative approach

Kyung Pak; Leung Tsang; Chi H. Chan

Studies of large scale random rough surface problems with the sparse-matrix flat-surface iterative approach

Kyung Pak, Leung Tsang, Chi H. Chan

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

2 Citations (Scopus)

Abstract

In this paper, scattering of the TE incident wave from a perfectly conducting random rough surface is studied. First, the vector electromagnetic scattering from a two-dimensional rough surface with a surface area of 81 square wavelengths is illustrated. Monte Carlo results show backscattering enhancement for the co-polarized component. Secondly, the TE scattering from a one-dimensional random rough surface with a Gaussian roughness spectrum is studied. Specifically, a grazing incident angle at 86° with a surface length of 800 wavelengths is presented. Lastly, backscattering intensities from Gaussian and non-Gaussian rough surfaces are compared. Numerical results are illustrated as a function of rms height and slope.

Original language	English
Title of host publication	International Geoscience and Remote Sensing Symposium (IGARSS)
Publisher	IEEE
Pages	267-269
Volume	1
Publication status	Published - 1994
Externally published	Yes
Event	Proceedings of the 1994 International Geoscience and Remote Sensing Symposium. Vol 4 (of 4) - Pasadena, CA, USA Duration: 8 Aug 1994 → 12 Aug 1994

Publication series

Name
Volume	1

Conference

Conference	Proceedings of the 1994 International Geoscience and Remote Sensing Symposium. Vol 4 (of 4)
City	Pasadena, CA, USA
Period	8/08/94 → 12/08/94

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@inproceedings{79782b5c98d1487191c765323a4920b3,

title = "Studies of large scale random rough surface problems with the sparse-matrix flat-surface iterative approach",

abstract = "In this paper, scattering of the TE incident wave from a perfectly conducting random rough surface is studied. First, the vector electromagnetic scattering from a two-dimensional rough surface with a surface area of 81 square wavelengths is illustrated. Monte Carlo results show backscattering enhancement for the co-polarized component. Secondly, the TE scattering from a one-dimensional random rough surface with a Gaussian roughness spectrum is studied. Specifically, a grazing incident angle at 86° with a surface length of 800 wavelengths is presented. Lastly, backscattering intensities from Gaussian and non-Gaussian rough surfaces are compared. Numerical results are illustrated as a function of rms height and slope.",

author = "Kyung Pak and Leung Tsang and Chan, {Chi H.}",

year = "1994",

language = "English",

volume = "1",

publisher = "IEEE",

pages = "267--269",

booktitle = "International Geoscience and Remote Sensing Symposium (IGARSS)",

address = "United States",

note = "Proceedings of the 1994 International Geoscience and Remote Sensing Symposium. Vol 4 (of 4) ; Conference date: 08-08-1994 Through 12-08-1994",

}

Studies of large scale random rough surface problems with the sparse-matrix flat-surface iterative approach. / Pak, Kyung; Tsang, Leung; Chan, Chi H.
International Geoscience and Remote Sensing Symposium (IGARSS). Vol. 1 IEEE, 1994. p. 267-269.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Studies of large scale random rough surface problems with the sparse-matrix flat-surface iterative approach

AU - Pak, Kyung

AU - Tsang, Leung

AU - Chan, Chi H.

PY - 1994

Y1 - 1994

N2 - In this paper, scattering of the TE incident wave from a perfectly conducting random rough surface is studied. First, the vector electromagnetic scattering from a two-dimensional rough surface with a surface area of 81 square wavelengths is illustrated. Monte Carlo results show backscattering enhancement for the co-polarized component. Secondly, the TE scattering from a one-dimensional random rough surface with a Gaussian roughness spectrum is studied. Specifically, a grazing incident angle at 86° with a surface length of 800 wavelengths is presented. Lastly, backscattering intensities from Gaussian and non-Gaussian rough surfaces are compared. Numerical results are illustrated as a function of rms height and slope.

AB - In this paper, scattering of the TE incident wave from a perfectly conducting random rough surface is studied. First, the vector electromagnetic scattering from a two-dimensional rough surface with a surface area of 81 square wavelengths is illustrated. Monte Carlo results show backscattering enhancement for the co-polarized component. Secondly, the TE scattering from a one-dimensional random rough surface with a Gaussian roughness spectrum is studied. Specifically, a grazing incident angle at 86° with a surface length of 800 wavelengths is presented. Lastly, backscattering intensities from Gaussian and non-Gaussian rough surfaces are compared. Numerical results are illustrated as a function of rms height and slope.

UR - http://www.scopus.com/inward/record.url?scp=0028752634&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0028752634&origin=recordpage

M3 - RGC 32 - Refereed conference paper (with host publication)

VL - 1

SP - 267

EP - 269

BT - International Geoscience and Remote Sensing Symposium (IGARSS)

PB - IEEE

T2 - Proceedings of the 1994 International Geoscience and Remote Sensing Symposium. Vol 4 (of 4)

Y2 - 8 August 1994 through 12 August 1994

ER -

Studies of large scale random rough surface problems with the sparse-matrix flat-surface iterative approach

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