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

Applied Research Laboratory (ARL)

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

6 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

Access to Document

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.

UR - http://www.scopus.com/inward/record.url?scp=84963972233&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84963972233&partnerID=8YFLogxK

U2 - 10.23919/oceans.2015.7401845

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

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this