{"id":"https://openalex.org/W4221140091","doi":"https://doi.org/10.1109/icassp43922.2022.9747007","title":"An Enhanced Deep Learning Approach for Tectonic Fault and Fracture Extraction in Very High Resolution Optical Images","display_name":"An Enhanced Deep Learning Approach for Tectonic Fault and Fracture Extraction in Very High Resolution Optical Images","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4221140091","doi":"https://doi.org/10.1109/icassp43922.2022.9747007"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9747007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747007","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.inria.fr/hal-03577214","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091335361","display_name":"Bilel Kanoun","orcid":"https://orcid.org/0000-0003-2636-0664"},"institutions":[{"id":"https://openalex.org/I4210166444","display_name":"Institut de Recherche pour le D\u00e9veloppement","ror":"https://ror.org/05q3vnk25","country_code":"FR","type":"funder","lineage":["https://openalex.org/I2802818602","https://openalex.org/I4210090127","https://openalex.org/I4210131494","https://openalex.org/I4210166444"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Bilel Kanoun","raw_affiliation_strings":["Université Côte d’Azur,Observatoire de la Côte d’Azur, IRD, Cnrs, Géoazur,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Université Côte d’Azur,Observatoire de la Côte d’Azur, IRD, Cnrs, Géoazur,France","institution_ids":["https://openalex.org/I4210166444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052372527","display_name":"Mohamed Abderrazak Cherif","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166444","display_name":"Institut de Recherche pour le D\u00e9veloppement","ror":"https://ror.org/05q3vnk25","country_code":"FR","type":"funder","lineage":["https://openalex.org/I2802818602","https://openalex.org/I4210090127","https://openalex.org/I4210131494","https://openalex.org/I4210166444"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mohamed Abderrazak Cherif","raw_affiliation_strings":["Université Côte d’Azur,Observatoire de la Côte d’Azur, IRD, Cnrs, Géoazur,France","Luxcarta technology [Mouans-Sartoux]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Université Côte d’Azur,Observatoire de la Côte d’Azur, IRD, Cnrs, Géoazur,France","institution_ids":["https://openalex.org/I4210166444"]},{"raw_affiliation_string":"Luxcarta technology [Mouans-Sartoux]","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074488267","display_name":"Isabelle Manighetti","orcid":"https://orcid.org/0000-0003-4413-6578"},"institutions":[{"id":"https://openalex.org/I4210166444","display_name":"Institut de Recherche pour le D\u00e9veloppement","ror":"https://ror.org/05q3vnk25","country_code":"FR","type":"funder","lineage":["https://openalex.org/I2802818602","https://openalex.org/I4210090127","https://openalex.org/I4210131494","https://openalex.org/I4210166444"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Isabelle Manighetti","raw_affiliation_strings":["Université Côte d’Azur,Observatoire de la Côte d’Azur, IRD, Cnrs, Géoazur,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Université Côte d’Azur,Observatoire de la Côte d’Azur, IRD, Cnrs, Géoazur,France","institution_ids":["https://openalex.org/I4210166444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025954012","display_name":"Yuliya Tarabalka","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuliya Tarabalka","raw_affiliation_strings":["LuxCarta Technology,France","Luxcarta technology [Mouans-Sartoux]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LuxCarta Technology,France","institution_ids":[]},{"raw_affiliation_string":"Luxcarta technology [Mouans-Sartoux]","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018158883","display_name":"Josiane Zerubia","orcid":"https://orcid.org/0000-0002-7444-0856"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Josiane Zerubia","raw_affiliation_strings":["Université Côte d’Azur,Inria,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Université Côte d’Azur,Inria,France","institution_ids":["https://openalex.org/I1326498283"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5091335361"],"corresponding_institution_ids":["https://openalex.org/I4210166444"],"apc_list":null,"apc_paid":null,"fwci":2.8704,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.87346675,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3403","last_page":"3407"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13018","display_name":"Seismology and Earthquake Studies","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6105178594589233},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6051889657974243},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5604239106178284},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5583406090736389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5400614738464355},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.520426332950592},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5039204955101013},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.45030084252357483},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.4338317811489105},{"id":"https://openalex.org/keywords/fracture","display_name":"Fracture (geology)","score":0.4270186722278595},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3834379315376282},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36810731887817383},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.3411005139350891},{"id":"https://openalex.org/keywords/geotechnical-engineering","display_name":"Geotechnical engineering","score":0.10929948091506958},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09754812717437744}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6105178594589233},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6051889657974243},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5604239106178284},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5583406090736389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5400614738464355},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.520426332950592},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5039204955101013},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.45030084252357483},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.4338317811489105},{"id":"https://openalex.org/C43369102","wikidata":"https://www.wikidata.org/wiki/Q2307625","display_name":"Fracture (geology)","level":2,"score":0.4270186722278595},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3834379315376282},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36810731887817383},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.3411005139350891},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.10929948091506958},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09754812717437744},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp43922.2022.9747007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747007","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03577214v1","is_oa":true,"landing_page_url":"https://hal.inria.fr/hal-03577214","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICASSP 2022 - IEEE International Conference on Acoustics, Speech, & Signal Processing","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:HAL:hal-03577214v2","is_oa":false,"landing_page_url":"https://inria.hal.science/hal-03577214","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICASSP 2022 - IEEE International Conference on Acoustics, Speech, & Signal Processing, IEEE, May 2022, Singapore/Hybrid, Singapore. ⟨10.1109/ICASSP43922.2022.9747007⟩","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-03577214v1","is_oa":true,"landing_page_url":"https://hal.inria.fr/hal-03577214","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICASSP 2022 - IEEE International Conference on Acoustics, Speech, & Signal Processing","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W769122758","https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1901129140","https://openalex.org/W2039236357","https://openalex.org/W2039761922","https://openalex.org/W2051875053","https://openalex.org/W2059975159","https://openalex.org/W2077308142","https://openalex.org/W2108978610","https://openalex.org/W2123402141","https://openalex.org/W2134205609","https://openalex.org/W2403818463","https://openalex.org/W2513326255","https://openalex.org/W2593886839","https://openalex.org/W2596750703","https://openalex.org/W2895693960","https://openalex.org/W2963351448","https://openalex.org/W2974777596","https://openalex.org/W2997604048","https://openalex.org/W3005090955","https://openalex.org/W3022194838","https://openalex.org/W3080772340","https://openalex.org/W3098547059","https://openalex.org/W3148710809","https://openalex.org/W4211212742","https://openalex.org/W4236245096","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6639824700"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W2348909947","https://openalex.org/W4375867731","https://openalex.org/W4292672442","https://openalex.org/W2371138613","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2362101859","https://openalex.org/W2048963458","https://openalex.org/W2171299904"],"abstract_inverted_index":{"Identifying":[0],"and":[1,4,14,36,67,73,79,94,98,100,110,122,132],"mapping":[2,19,75],"fractures":[3],"faults":[5],"are":[6],"important":[7],"in":[8,11,24,76],"geosciences,":[9],"especially":[10],"earthquake":[12],"hazard":[13],"geological":[15],"reservoir":[16],"studies.":[17],"This":[18],"can":[20],"be":[21,44],"done":[22],"manually":[23],"optical":[25,77],"images":[26,78],"of":[27,62,92,117],"the":[28,86,114,128,137],"earth":[29],"surface,":[30],"yet":[31],"it":[32,37,69],"is":[33],"time":[34],"consuming":[35],"requires":[38],"an":[39],"expertise":[40],"that":[41,84,105],"may":[42],"not":[43],"available.":[45],"Building":[46],"upon":[47],"a":[48,54,60,63,89,102,140],"recent":[49],"prior":[50],"study,":[51],"we":[52,135,148],"develop":[53],"deep":[55],"learning":[56],"approach,":[57],"based":[58],"on":[59],"variant":[61],"U-Net":[64],"neural":[65],"network,":[66],"apply":[68,136],"to":[70,139],"automate":[71],"fracture":[72,93],"fault":[74,95],"topographic":[80],"data.":[81],"We":[82],"show":[83],"training":[85],"model":[87,138],"with":[88],"realistic":[90],"knowledge":[91],"uneven":[96],"distributions":[97],"trends,":[99],"using":[101],"loss":[103],"function":[104],"operates":[106],"at":[107],"both":[108,130],"pixel":[109],"larger":[111],"scales":[112],"through":[113],"combined":[115],"use":[116],"weighted":[118],"Binary":[119],"Cross":[120],"Entropy":[121],"Intersection":[123],"over":[124],"Union,":[125],"greatly":[126],"improves":[127],"predictions,":[129],"qualitatively":[131],"quantitatively.":[133],"As":[134],"site":[141],"differing":[142],"from":[143],"those":[144],"used":[145],"for":[146],"training,":[147],"demonstrate":[149],"its":[150],"enhanced":[151],"generalization":[152],"capacity.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-14T08:36:36.166977","created_date":"2025-10-10T00:00:00"}