{"id":"https://openalex.org/W2800320596","doi":"https://doi.org/10.1109/icassp.2018.8461508","title":"Fault Detection Using Attention Models Based on Visual Saliency","display_name":"Fault Detection Using Attention Models Based on Visual Saliency","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2800320596","doi":"https://doi.org/10.1109/icassp.2018.8461508","mag":"2800320596"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8461508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103747302","display_name":"Muhammad Amir Shafiq","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Muhammad Amir Shafiq","raw_affiliation_strings":["Center for Energy and Geo Processing (CeGP), Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Energy and Geo Processing (CeGP), Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101840625","display_name":"Zhiling Long","orcid":"https://orcid.org/0000-0002-1018-8591"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiling Long","raw_affiliation_strings":["Center for Energy and Geo Processing (CeGP), Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Energy and Geo Processing (CeGP), Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086568371","display_name":"Haibin Di","orcid":"https://orcid.org/0000-0003-2194-9779"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haibin Di","raw_affiliation_strings":["Center for Energy and Geo Processing (CeGP), Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Energy and Geo Processing (CeGP), Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078080654","display_name":"Ghassan AI Regib","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ghassan AI Regib","raw_affiliation_strings":["Center for Energy and Geo Processing (CeGP), Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Energy and Geo Processing (CeGP), Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032355192","display_name":"Mohamed Deriche","orcid":"https://orcid.org/0000-0002-5287-1874"},"institutions":[{"id":"https://openalex.org/I134085113","display_name":"King Fahd University of Petroleum and Minerals","ror":"https://ror.org/03yez3163","country_code":"SA","type":"education","lineage":["https://openalex.org/I134085113"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Mohammed Deriche","raw_affiliation_strings":["King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia","institution_ids":["https://openalex.org/I134085113"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2282,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.57968017,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"3","issue":null,"first_page":"1508","last_page":"1512"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9786999821662903,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7118334770202637},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.6407293677330017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5846139788627625},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.5280728340148926},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.5107121467590332},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4971912205219269},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4940090775489807},{"id":"https://openalex.org/keywords/fault-plane","display_name":"Fault plane","score":0.49174168705940247},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4600387215614319},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4524189829826355},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.44485563039779663},{"id":"https://openalex.org/keywords/plane","display_name":"Plane (geometry)","score":0.41104230284690857},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4083014130592346},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28707265853881836},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.23543989658355713},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.12955084443092346},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1170949935913086}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7118334770202637},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.6407293677330017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5846139788627625},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.5280728340148926},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.5107121467590332},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4971912205219269},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4940090775489807},{"id":"https://openalex.org/C2994078444","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault plane","level":3,"score":0.49174168705940247},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4600387215614319},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4524189829826355},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.44485563039779663},{"id":"https://openalex.org/C17825722","wikidata":"https://www.wikidata.org/wiki/Q17285","display_name":"Plane (geometry)","level":2,"score":0.41104230284690857},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4083014130592346},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28707265853881836},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.23543989658355713},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.12955084443092346},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1170949935913086},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2018.8461508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W154882957","https://openalex.org/W1699734612","https://openalex.org/W1772076007","https://openalex.org/W1872412942","https://openalex.org/W1985202143","https://openalex.org/W2014758788","https://openalex.org/W2019570509","https://openalex.org/W2034436892","https://openalex.org/W2039546655","https://openalex.org/W2057723472","https://openalex.org/W2060248918","https://openalex.org/W2075158230","https://openalex.org/W2098702446","https://openalex.org/W2118985252","https://openalex.org/W2133589685","https://openalex.org/W2146103513","https://openalex.org/W2164084182","https://openalex.org/W2398088131","https://openalex.org/W2596914838","https://openalex.org/W2754937400","https://openalex.org/W2963370075","https://openalex.org/W3104979525","https://openalex.org/W6668975637","https://openalex.org/W6734770244","https://openalex.org/W6744146053"],"related_works":["https://openalex.org/W3027020613","https://openalex.org/W2016533837","https://openalex.org/W3167885074","https://openalex.org/W2892386716","https://openalex.org/W4306164210","https://openalex.org/W1998563493","https://openalex.org/W4313316311","https://openalex.org/W4362608745","https://openalex.org/W4327521644","https://openalex.org/W2082728368"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,65],"present":[4],"an":[5],"approach":[6],"for":[7],"detecting":[8,146],"faults":[9],"within":[10,62,122],"seismic":[11,51,94,124,143],"volumes":[12],"using":[13],"a":[14,20,32,86,92,151],"saliency":[15,87,140],"detection":[16,113],"framework":[17],"that":[18,133],"employs":[19],"3D-FFT":[21,33],"local":[22,34],"spectra":[23],"and":[24,57,142,149],"multi-dimensional":[25],"plane":[26],"projections.":[27],"The":[28,77,126],"projection":[29],"scheme":[30],"divides":[31],"spectrum":[35],"into":[36],"three":[37],"distinct":[38],"components,":[39],"each":[40,75],"depicting":[41],"variations":[42],"along":[43],"different":[44,55],"dimensions":[45],"of":[46,80,107,114,129,157],"the":[47,67,81,97,105,108,112,130,134,138],"data.":[48],"To":[49],"detect":[50],"structures":[52,148],"oriented":[53],"at":[54],"angles":[56],"to":[58,70],"capture":[59],"directional":[60,72],"features":[61,83,160],"3D":[63],"volume,":[64],"modify":[66],"center-surround":[68],"model":[69],"incorporate":[71],"comparisons":[73],"around":[74],"voxel.":[76],"weighted":[78],"combination":[79],"obtained":[82],"then":[84],"yields":[85],"map.":[88],"Experimental":[89],"results":[90,131],"on":[91],"real":[93],"dataset":[95],"from":[96],"Great":[98],"South":[99],"Basin":[100],"in":[101,111,145,154],"New":[102],"Zealand":[103],"show":[104,132],"effectiveness":[106],"proposed":[109,135],"algorithm":[110],"complex":[115,147],"fault":[116],"networks,":[117],"which":[118],"are":[119],"hardly":[120],"conspicuous":[121],"original":[123],"volume.":[125],"subjective":[127],"evaluation":[128],"method":[136],"outperforms":[137],"state-of-the-art":[139],"algorithms":[141],"attributes":[144],"holds":[150],"promising":[152],"future":[153],"computer-aided":[155],"extraction":[156],"other":[158],"geologic":[159],"as":[161],"well.":[162]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}