Textural analysis and structure-tracking for geological mapping

applications to sonar images from endeavour segment, Juan de Fuca Ridge

Ph Blondel, J. C. Sempere, V. Robigou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The volume of data collected by side-scan sonar during seafloor surveys has become larger and larger as the resolution of these systems has improved. As a result, new image processing techniques need to be developed to partly automate the interpretation of this increasing wealth of data. The first two steps in the geological analysis of a new image usually are the mapping of linear structures, and of morphologic units. These maps are then used in tectonic and geological interpretations. Linear features are detected by adaptive filtering. Their properties (length, direction, sinuosity, ...) are computed and quantified by the new structure tracking algorithm. Mapping of morphologic units is addressed by a textural analysis method, based on grey-level co-occurrence matrices. The authors have applied these techniques to high-resolution sonar images of the Endeavour Segment, Juan de Fuca Ridge. Separation of geologically meaningful regions can be easily attained using the authors' textural analysis method. Some regions fan be distinguished by numerical methods, whereas visual interpretation had to rely on supplementary data (photos, dives)

Original languageEnglish
Title of host publicationProceedings of OCEANS '93
Editors Anon
PublisherIEEE
Pages208-213
Number of pages6
ISBN (Print)0780313860, 0-7803-1385-2
DOIs
Publication statusPublished - 1 Dec 1993
EventProceedings of the Conference on Oceans '93. Part 3 (of 3) - Victoria, BC, Can
Duration: 18 Oct 199321 Oct 1993

Conference

ConferenceProceedings of the Conference on Oceans '93. Part 3 (of 3)
CityVictoria, BC, Can
Period18/10/9321/10/93

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Textural analysis and structure-tracking for geological mapping : applications to sonar images from endeavour segment, Juan de Fuca Ridge. / Blondel, Ph; Sempere, J. C.; Robigou, V.

Proceedings of OCEANS '93. ed. / Anon. IEEE, 1993. p. 208-213.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Blondel, P, Sempere, JC & Robigou, V 1993, Textural analysis and structure-tracking for geological mapping: applications to sonar images from endeavour segment, Juan de Fuca Ridge. in Anon (ed.), Proceedings of OCEANS '93. IEEE, pp. 208-213, Proceedings of the Conference on Oceans '93. Part 3 (of 3), Victoria, BC, Can, 18/10/93. https://doi.org/10.1109/OCEANS.1993.326187
Blondel, Ph ; Sempere, J. C. ; Robigou, V. / Textural analysis and structure-tracking for geological mapping : applications to sonar images from endeavour segment, Juan de Fuca Ridge. Proceedings of OCEANS '93. editor / Anon. IEEE, 1993. pp. 208-213
@inproceedings{376c4f56f2024c669b300b43ce7fae45,
title = "Textural analysis and structure-tracking for geological mapping: applications to sonar images from endeavour segment, Juan de Fuca Ridge",
abstract = "The volume of data collected by side-scan sonar during seafloor surveys has become larger and larger as the resolution of these systems has improved. As a result, new image processing techniques need to be developed to partly automate the interpretation of this increasing wealth of data. The first two steps in the geological analysis of a new image usually are the mapping of linear structures, and of morphologic units. These maps are then used in tectonic and geological interpretations. Linear features are detected by adaptive filtering. Their properties (length, direction, sinuosity, ...) are computed and quantified by the new structure tracking algorithm. Mapping of morphologic units is addressed by a textural analysis method, based on grey-level co-occurrence matrices. The authors have applied these techniques to high-resolution sonar images of the Endeavour Segment, Juan de Fuca Ridge. Separation of geologically meaningful regions can be easily attained using the authors' textural analysis method. Some regions fan be distinguished by numerical methods, whereas visual interpretation had to rely on supplementary data (photos, dives)",
author = "Ph Blondel and Sempere, {J. C.} and V. Robigou",
year = "1993",
month = "12",
day = "1",
doi = "10.1109/OCEANS.1993.326187",
language = "English",
isbn = "0780313860",
pages = "208--213",
editor = "Anon",
booktitle = "Proceedings of OCEANS '93",
publisher = "IEEE",
address = "USA United States",

}

TY - GEN

T1 - Textural analysis and structure-tracking for geological mapping

T2 - applications to sonar images from endeavour segment, Juan de Fuca Ridge

AU - Blondel, Ph

AU - Sempere, J. C.

AU - Robigou, V.

PY - 1993/12/1

Y1 - 1993/12/1

N2 - The volume of data collected by side-scan sonar during seafloor surveys has become larger and larger as the resolution of these systems has improved. As a result, new image processing techniques need to be developed to partly automate the interpretation of this increasing wealth of data. The first two steps in the geological analysis of a new image usually are the mapping of linear structures, and of morphologic units. These maps are then used in tectonic and geological interpretations. Linear features are detected by adaptive filtering. Their properties (length, direction, sinuosity, ...) are computed and quantified by the new structure tracking algorithm. Mapping of morphologic units is addressed by a textural analysis method, based on grey-level co-occurrence matrices. The authors have applied these techniques to high-resolution sonar images of the Endeavour Segment, Juan de Fuca Ridge. Separation of geologically meaningful regions can be easily attained using the authors' textural analysis method. Some regions fan be distinguished by numerical methods, whereas visual interpretation had to rely on supplementary data (photos, dives)

AB - The volume of data collected by side-scan sonar during seafloor surveys has become larger and larger as the resolution of these systems has improved. As a result, new image processing techniques need to be developed to partly automate the interpretation of this increasing wealth of data. The first two steps in the geological analysis of a new image usually are the mapping of linear structures, and of morphologic units. These maps are then used in tectonic and geological interpretations. Linear features are detected by adaptive filtering. Their properties (length, direction, sinuosity, ...) are computed and quantified by the new structure tracking algorithm. Mapping of morphologic units is addressed by a textural analysis method, based on grey-level co-occurrence matrices. The authors have applied these techniques to high-resolution sonar images of the Endeavour Segment, Juan de Fuca Ridge. Separation of geologically meaningful regions can be easily attained using the authors' textural analysis method. Some regions fan be distinguished by numerical methods, whereas visual interpretation had to rely on supplementary data (photos, dives)

UR - http://www.scopus.com/inward/record.url?scp=0027873490&partnerID=8YFLogxK

U2 - 10.1109/OCEANS.1993.326187

DO - 10.1109/OCEANS.1993.326187

M3 - Conference contribution

SN - 0780313860

SN - 0-7803-1385-2

SP - 208

EP - 213

BT - Proceedings of OCEANS '93

A2 - Anon, null

PB - IEEE

ER -