Moment-based method to statistically categorize rock outcrops based on their topographical features

Roger C. Gauss; Joseph M. Fialkowski; David C. Calvo; Richard Menis; Derek R. Olson; Anthony P. Lyons

doi:10.23919/oceans.2015.7401845

Moment-based method to statistically categorize rock outcrops based on their topographical features

Roger C. Gauss
, Joseph M. Fialkowski
, David C. Calvo
, Richard Menis
, Derek R. Olson
, Anthony P. Lyons

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Scopus citations

Abstract

Geomorphological formations on the ocean seafloor are spatially complex objects. Rock outcrops in particular can be spatially compact, and highly anisotropic in their large- and small-scale topographic structure, and represent a significant source of clutter for short-range active sonars operating in shallow water. This paper describes a physical moment-based statistical method for categorizing rock outcrops based on their topographical characteristics, in particular isolating its facet-like features. The correspondence of these features to clutter-generating objects is then substantiated for a short-range, high-frequency shallow-water scenario, where the ensonified area is a fraction of outcrop size, via comparisons with high-fidelity acoustic backscattering predictions.

Original language	English (US)
Title of host publication	OCEANS 2015 - MTS/IEEE Washington
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9780933957435
DOIs	https://doi.org/10.23919/oceans.2015.7401845
State	Published - Feb 8 2016
Event	MTS/IEEE Washington, OCEANS 2015 - Washington, United States Duration: Oct 19 2015 → Oct 22 2015

Publication series

Name	OCEANS 2015 - MTS/IEEE Washington

Other

Other	MTS/IEEE Washington, OCEANS 2015
Country/Territory	United States
City	Washington
Period	10/19/15 → 10/22/15

All Science Journal Classification (ASJC) codes

Signal Processing
Oceanography
Ocean Engineering
Instrumentation
Acoustics and Ultrasonics

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10.23919/oceans.2015.7401845

Cite this

Gauss, R. C., Fialkowski, J. M., Calvo, D. C., Menis, R., Olson, D. R., & Lyons, A. P. (2016). Moment-based method to statistically categorize rock outcrops based on their topographical features. In OCEANS 2015 - MTS/IEEE Washington Article 7401845 (OCEANS 2015 - MTS/IEEE Washington). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/oceans.2015.7401845

@inproceedings{79b07f40ef74438fbc6f0d880f5d66ef,

title = "Moment-based method to statistically categorize rock outcrops based on their topographical features",

abstract = "Geomorphological formations on the ocean seafloor are spatially complex objects. Rock outcrops in particular can be spatially compact, and highly anisotropic in their large- and small-scale topographic structure, and represent a significant source of clutter for short-range active sonars operating in shallow water. This paper describes a physical moment-based statistical method for categorizing rock outcrops based on their topographical characteristics, in particular isolating its facet-like features. The correspondence of these features to clutter-generating objects is then substantiated for a short-range, high-frequency shallow-water scenario, where the ensonified area is a fraction of outcrop size, via comparisons with high-fidelity acoustic backscattering predictions.",

author = "Gauss, \{Roger C.\} and Fialkowski, \{Joseph M.\} and Calvo, \{David C.\} and Richard Menis and Olson, \{Derek R.\} and Lyons, \{Anthony P.\}",

note = "Funding Information: Work supported by the U.S. Office of Naval Research Publisher Copyright: {\textcopyright} 2015 MTS.; MTS/IEEE Washington, OCEANS 2015 ; Conference date: 19-10-2015 Through 22-10-2015",

year = "2016",

month = feb,

day = "8",

doi = "10.23919/oceans.2015.7401845",

language = "English (US)",

series = "OCEANS 2015 - MTS/IEEE Washington",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "OCEANS 2015 - MTS/IEEE Washington",

address = "United States",

}

Gauss, RC, Fialkowski, JM, Calvo, DC, Menis, R, Olson, DR & Lyons, AP 2016, Moment-based method to statistically categorize rock outcrops based on their topographical features. in OCEANS 2015 - MTS/IEEE Washington., 7401845, OCEANS 2015 - MTS/IEEE Washington, Institute of Electrical and Electronics Engineers Inc., MTS/IEEE Washington, OCEANS 2015, Washington, United States, 10/19/15. https://doi.org/10.23919/oceans.2015.7401845

Moment-based method to statistically categorize rock outcrops based on their topographical features. / Gauss, Roger C.; Fialkowski, Joseph M.; Calvo, David C. et al.
OCEANS 2015 - MTS/IEEE Washington. Institute of Electrical and Electronics Engineers Inc., 2016. 7401845 (OCEANS 2015 - MTS/IEEE Washington).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Moment-based method to statistically categorize rock outcrops based on their topographical features

AU - Gauss, Roger C.

AU - Fialkowski, Joseph M.

AU - Calvo, David C.

AU - Menis, Richard

AU - Olson, Derek R.

AU - Lyons, Anthony P.

PY - 2016/2/8

Y1 - 2016/2/8

N2 - Geomorphological formations on the ocean seafloor are spatially complex objects. Rock outcrops in particular can be spatially compact, and highly anisotropic in their large- and small-scale topographic structure, and represent a significant source of clutter for short-range active sonars operating in shallow water. This paper describes a physical moment-based statistical method for categorizing rock outcrops based on their topographical characteristics, in particular isolating its facet-like features. The correspondence of these features to clutter-generating objects is then substantiated for a short-range, high-frequency shallow-water scenario, where the ensonified area is a fraction of outcrop size, via comparisons with high-fidelity acoustic backscattering predictions.

AB - Geomorphological formations on the ocean seafloor are spatially complex objects. Rock outcrops in particular can be spatially compact, and highly anisotropic in their large- and small-scale topographic structure, and represent a significant source of clutter for short-range active sonars operating in shallow water. This paper describes a physical moment-based statistical method for categorizing rock outcrops based on their topographical characteristics, in particular isolating its facet-like features. The correspondence of these features to clutter-generating objects is then substantiated for a short-range, high-frequency shallow-water scenario, where the ensonified area is a fraction of outcrop size, via comparisons with high-fidelity acoustic backscattering predictions.

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DO - 10.23919/oceans.2015.7401845

M3 - Conference contribution

AN - SCOPUS:84963972233

T3 - OCEANS 2015 - MTS/IEEE Washington

BT - OCEANS 2015 - MTS/IEEE Washington

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - MTS/IEEE Washington, OCEANS 2015

Y2 - 19 October 2015 through 22 October 2015

ER -

Moment-based method to statistically categorize rock outcrops based on their topographical features

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