Detecting ripple patterns in mission videos

Adriana Olmos; Manuel Trucco; Katia Lebart; Dave Lane

Detecting ripple patterns in mission videos

Adriana Olmos
, Manuel Trucco
, Katia Lebart
, Dave Lane

School of Engineering & Physical Sciences

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

Ripple patterns on the sea floor carry information of interest for marine geophysicists, but identifying sand-ripple segments in a long mission video can be very tedious. This work presents a comparison between two experimental algorithms: frequency based method and feature based method. Both pursue the automatic detection of sand ripples in videos of underwater scientific missions. The investigation looks at the robustness of the classifier with increased noise conditions and changes in rotation and spatial frequency of ripple patterns.

Original language	English
Pages (from-to)	331-336
Number of pages	6
Journal	Oceans Conference Record
Volume	1
Publication status	Published - 2000
Event	Oceans 2000 - Providence, RI, USA Duration: 11 Sept 2000 → 14 Sept 2000

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 14 Life Below Water

Cite this

@article{a5cbee0939084f2ebdc00b26766ac740,

title = "Detecting ripple patterns in mission videos",

abstract = "Ripple patterns on the sea floor carry information of interest for marine geophysicists, but identifying sand-ripple segments in a long mission video can be very tedious. This work presents a comparison between two experimental algorithms: frequency based method and feature based method. Both pursue the automatic detection of sand ripples in videos of underwater scientific missions. The investigation looks at the robustness of the classifier with increased noise conditions and changes in rotation and spatial frequency of ripple patterns.",

author = "Adriana Olmos and Manuel Trucco and Katia Lebart and Dave Lane",

year = "2000",

language = "English",

volume = "1",

pages = "331--336",

journal = "Oceans Conference Record",

publisher = "IEEE",

note = "Oceans 2000 ; Conference date: 11-09-2000 Through 14-09-2000",

}

TY - JOUR

T1 - Detecting ripple patterns in mission videos

AU - Olmos, Adriana

AU - Trucco, Manuel

AU - Lebart, Katia

AU - Lane, Dave

PY - 2000

Y1 - 2000

N2 - Ripple patterns on the sea floor carry information of interest for marine geophysicists, but identifying sand-ripple segments in a long mission video can be very tedious. This work presents a comparison between two experimental algorithms: frequency based method and feature based method. Both pursue the automatic detection of sand ripples in videos of underwater scientific missions. The investigation looks at the robustness of the classifier with increased noise conditions and changes in rotation and spatial frequency of ripple patterns.

AB - Ripple patterns on the sea floor carry information of interest for marine geophysicists, but identifying sand-ripple segments in a long mission video can be very tedious. This work presents a comparison between two experimental algorithms: frequency based method and feature based method. Both pursue the automatic detection of sand ripples in videos of underwater scientific missions. The investigation looks at the robustness of the classifier with increased noise conditions and changes in rotation and spatial frequency of ripple patterns.

UR - https://www.scopus.com/pages/publications/0034478554

M3 - Article

VL - 1

SP - 331

EP - 336

JO - Oceans Conference Record

JF - Oceans Conference Record

T2 - Oceans 2000

Y2 - 11 September 2000 through 14 September 2000

ER -

Detecting ripple patterns in mission videos

Abstract

UN SDGs

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