Measuring Small-scale Water Surface Waves: Nonlinear Interpolation & Integration Techniques for Slope-Image Data

Jason M. Daida; Robert R. Bertram; David R. Lyzenga; Christian Wolf; David T. Walker; Stephen A. Stanhope; Guy A. Meadows; John F. Vesecky; Donald E. Lund

doi:10.1109/IGARSS.1996.516941

Measuring Small-scale Water Surface Waves: Nonlinear Interpolation & Integration Techniques for Slope-Image Data

Jason M. Daida^*, Robert R. Bertram, David R. Lyzenga, Christian Wolf, David T. Walker, Stephen A. Stanhope, Guy A. Meadows, John F. Vesecky, Donald E. Lund

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › peer-review

Abstract

Mitigating the types of nonlinearities present in slope-image data allow measurement of small-scale water waves. For the past few years, several methods have been developed for this purpose. Most of these methods involve the genetic algorithm portion of the hybrid. In this study, the genetic algorithm used optimizes for a set of Fourier coefficients along a row (or column) vector. A system prototype has been implemented on a parallel machine. Results show that the algorithm does correctly perform nonlinear interpolation and integration.

Original language	English
Title of host publication	Proceedings of IGARSS '96, the 1996 International Geoscience and Remote Sensing Symposium
Publisher	IEEE
Pages	2219-2221
Number of pages	3
Volume	4
ISBN (Print)	0-7803-3068-4
DOIs	https://doi.org/10.1109/IGARSS.1996.516941
Publication status	Published - 1996
Externally published	Yes
Event	1996 International Geoscience and Remote Sensing Symposium, IGARSS '96: Remote Sensing for a Sustainable Future - Lincoln, United States Duration: 28 May 1996 → 31 May 1996 https://ieeexplore.ieee.org/xpl/conhome/3772/proceeding

Conference

Conference	1996 International Geoscience and Remote Sensing Symposium, IGARSS '96
Abbreviated title	IGARSS '96
Country/Territory	United States
City	Lincoln
Period	28/05/96 → 31/05/96
Internet address	https://ieeexplore.ieee.org/xpl/conhome/3772/proceeding

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10.1109/IGARSS.1996.516941

Cite this

Daida, J. M., Bertram, R. R., Lyzenga, D. R., Wolf, C., Walker, D. T., Stanhope, S. A., Meadows, G. A., Vesecky, J. F., & Lund, D. E. (1996). Measuring Small-scale Water Surface Waves: Nonlinear Interpolation & Integration Techniques for Slope-Image Data. In Proceedings of IGARSS '96, the 1996 International Geoscience and Remote Sensing Symposium (Vol. 4, pp. 2219-2221). IEEE. https://doi.org/10.1109/IGARSS.1996.516941

@inproceedings{8fb63b9c6fdf47178eeead0662905cbc,

title = "Measuring Small-scale Water Surface Waves: Nonlinear Interpolation \& Integration Techniques for Slope-Image Data",

abstract = "Mitigating the types of nonlinearities present in slope-image data allow measurement of small-scale water waves. For the past few years, several methods have been developed for this purpose. Most of these methods involve the genetic algorithm portion of the hybrid. In this study, the genetic algorithm used optimizes for a set of Fourier coefficients along a row (or column) vector. A system prototype has been implemented on a parallel machine. Results show that the algorithm does correctly perform nonlinear interpolation and integration.",

keywords = "Surface waves, Interpolation, Sea surface, Surface topography, Sea measurements, Oceans, Instruments, Synthetic aperture radar, Surface reconstruction, Backscatter",

author = "Daida, \{Jason M.\} and Bertram, \{Robert R.\} and Lyzenga, \{David R.\} and Christian Wolf and Walker, \{David T.\} and Stanhope, \{Stephen A.\} and Meadows, \{Guy A.\} and Vesecky, \{John F.\} and Lund, \{Donald E.\}",

year = "1996",

doi = "10.1109/IGARSS.1996.516941",

language = "English",

isbn = "0-7803-3068-4",

volume = "4",

pages = "2219--2221",

booktitle = "Proceedings of IGARSS '96, the 1996 International Geoscience and Remote Sensing Symposium",

publisher = "IEEE",

note = "1996 International Geoscience and Remote Sensing Symposium, IGARSS '96 : Remote Sensing for a Sustainable Future, IGARSS '96 ; Conference date: 28-05-1996 Through 31-05-1996",

url = "https://ieeexplore.ieee.org/xpl/conhome/3772/proceeding",

}

Daida, JM, Bertram, RR, Lyzenga, DR, Wolf, C, Walker, DT, Stanhope, SA, Meadows, GA, Vesecky, JF & Lund, DE 1996, Measuring Small-scale Water Surface Waves: Nonlinear Interpolation & Integration Techniques for Slope-Image Data. in Proceedings of IGARSS '96, the 1996 International Geoscience and Remote Sensing Symposium. vol. 4, IEEE, pp. 2219-2221, 1996 International Geoscience and Remote Sensing Symposium, IGARSS '96, Lincoln, Nebraska, United States, 28/05/96. https://doi.org/10.1109/IGARSS.1996.516941

Measuring Small-scale Water Surface Waves: Nonlinear Interpolation & Integration Techniques for Slope-Image Data. / Daida, Jason M.; Bertram, Robert R.; Lyzenga, David R. et al.
Proceedings of IGARSS '96, the 1996 International Geoscience and Remote Sensing Symposium. Vol. 4 IEEE, 1996. p. 2219-2221.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › peer-review

TY - GEN

T1 - Measuring Small-scale Water Surface Waves

T2 - 1996 International Geoscience and Remote Sensing Symposium, IGARSS '96

AU - Daida, Jason M.

AU - Bertram, Robert R.

AU - Lyzenga, David R.

AU - Wolf, Christian

AU - Walker, David T.

AU - Stanhope, Stephen A.

AU - Meadows, Guy A.

AU - Vesecky, John F.

AU - Lund, Donald E.

PY - 1996

Y1 - 1996

N2 - Mitigating the types of nonlinearities present in slope-image data allow measurement of small-scale water waves. For the past few years, several methods have been developed for this purpose. Most of these methods involve the genetic algorithm portion of the hybrid. In this study, the genetic algorithm used optimizes for a set of Fourier coefficients along a row (or column) vector. A system prototype has been implemented on a parallel machine. Results show that the algorithm does correctly perform nonlinear interpolation and integration.

AB - Mitigating the types of nonlinearities present in slope-image data allow measurement of small-scale water waves. For the past few years, several methods have been developed for this purpose. Most of these methods involve the genetic algorithm portion of the hybrid. In this study, the genetic algorithm used optimizes for a set of Fourier coefficients along a row (or column) vector. A system prototype has been implemented on a parallel machine. Results show that the algorithm does correctly perform nonlinear interpolation and integration.

KW - Surface waves

KW - Interpolation

KW - Sea surface

KW - Surface topography

KW - Sea measurements

KW - Oceans

KW - Instruments

KW - Synthetic aperture radar

KW - Surface reconstruction

KW - Backscatter

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U2 - 10.1109/IGARSS.1996.516941

DO - 10.1109/IGARSS.1996.516941

M3 - Conference Paper

AN - SCOPUS:0029709964

SN - 0-7803-3068-4

VL - 4

SP - 2219

EP - 2221

BT - Proceedings of IGARSS '96, the 1996 International Geoscience and Remote Sensing Symposium

PB - IEEE

Y2 - 28 May 1996 through 31 May 1996

ER -

Measuring Small-scale Water Surface Waves: Nonlinear Interpolation & Integration Techniques for Slope-Image Data

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