{"id":"https://openalex.org/W2991368858","doi":"https://doi.org/10.1109/smc.2019.8913858","title":"Image Segmentation of Salt Deposits Using Deep Convolutional Neural Network","display_name":"Image Segmentation of Salt Deposits Using Deep Convolutional Neural Network","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2991368858","doi":"https://doi.org/10.1109/smc.2019.8913858","mag":"2991368858"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2019.8913858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2019.8913858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"article","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/A5100461681","display_name":"Bo Liu","orcid":"https://orcid.org/0000-0002-7356-1349"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Liu","raw_affiliation_strings":["School of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030327639","display_name":"Haipeng Jing","orcid":"https://orcid.org/0000-0002-2279-3676"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haipeng Jing","raw_affiliation_strings":["School of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100393871","display_name":"Jianqiang Li","orcid":"https://orcid.org/0000-0002-2208-962X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqiang Li","raw_affiliation_strings":["School of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101398900","display_name":"Yong Li","orcid":"https://orcid.org/0000-0002-9430-0914"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Li","raw_affiliation_strings":["School of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005828574","display_name":"Guangzhi Qu","orcid":"https://orcid.org/0000-0003-4047-9514"},"institutions":[{"id":"https://openalex.org/I177721651","display_name":"Oakland University","ror":"https://ror.org/01ythxj32","country_code":"US","type":"education","lineage":["https://openalex.org/I177721651"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guangzhi Qu","raw_affiliation_strings":["Computer Science and Engineering Department, Oakland University, Rochester, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, Oakland University, Rochester, MI, USA","institution_ids":["https://openalex.org/I177721651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091039444","display_name":"Rentao Gu","orcid":"https://orcid.org/0000-0003-3183-2857"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rentao Gu","raw_affiliation_strings":["Beijing Laboratory of Advanced Information Networks, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Advanced Information Networks, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.13982711,"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":"3304","last_page":"3309"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9976999759674072,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9976999759674072,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.989300012588501,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6736222505569458},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.66645348072052},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6429862976074219},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.610701322555542},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.6072326898574829},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5768834948539734},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5409427881240845},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.531120777130127},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5205875039100647},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4943966865539551},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4943363666534424},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.4816133379936218},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4599226415157318},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45261886715888977},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14754602313041687},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1079927384853363},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09342461824417114},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07687962055206299}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6736222505569458},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.66645348072052},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6429862976074219},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.610701322555542},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.6072326898574829},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5768834948539734},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5409427881240845},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.531120777130127},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5205875039100647},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4943966865539551},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4943363666534424},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.4816133379936218},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4599226415157318},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45261886715888977},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14754602313041687},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1079927384853363},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09342461824417114},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07687962055206299},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2019.8913858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2019.8913858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1665214252","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1948751323","https://openalex.org/W2031489346","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2560023338","https://openalex.org/W2565639579","https://openalex.org/W2583180462","https://openalex.org/W2630837129","https://openalex.org/W2752782242","https://openalex.org/W2795587607","https://openalex.org/W2804488433","https://openalex.org/W2949117887","https://openalex.org/W2963037989","https://openalex.org/W2963881378","https://openalex.org/W2997225633","https://openalex.org/W6637242042","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6639824700","https://openalex.org/W6684191040","https://openalex.org/W6732940373","https://openalex.org/W6739696289","https://openalex.org/W6751733626"],"related_works":["https://openalex.org/W3127217315","https://openalex.org/W1669643531","https://openalex.org/W2122581818","https://openalex.org/W2059299633","https://openalex.org/W2159066190","https://openalex.org/W2739874619","https://openalex.org/W2760085659","https://openalex.org/W2732542196","https://openalex.org/W2117933325","https://openalex.org/W2969680539"],"abstract_inverted_index":{"Identifying":[0],"if":[1],"a":[2,70],"subsurface":[3],"target":[4],"is":[5,12,29],"salt":[6,27,40,89],"or":[7],"not":[8],"automatically":[9],"and":[10,64,168],"accurately":[11],"of":[13,25,39,85,88,121,132,153],"vital":[14],"importance":[15,120],"to":[16,46,56,76,81,99,102,129,137,162],"oil":[17,63],"drilling.":[18],"But":[19],"unfortunately,":[20],"obtaining":[21],"the":[22,37,83,116,119,140,145,151,154,163],"precise":[23],"position":[24],"large":[26],"deposits":[28],"very":[30,47],"difficult.":[31],"Professional":[32],"seismic":[33],"imaging":[34],"still":[35],"requires":[36],"interpretation":[38],"bodies":[41],"by":[42],"experts.":[43],"This":[44],"leads":[45,55],"subjective,":[48],"highly":[49],"variable":[50],"renderings.":[51],"More":[52],"alarmingly,":[53],"it":[54],"potentially":[57],"dangerous":[58],"situations":[59],"for":[60,115],"drillers":[61],"in":[62,106],"gas":[65],"companies.":[66],"In":[67,135],"this":[68],"paper,":[69],"Squeeze-Extraction":[71],"Feature":[72],"Pyramid":[73],"Networks":[74],"(referred":[75],"as":[77,95,98],"Se-FPN)":[78],"was":[79,148],"proposed":[80,125,157],"tackle":[82],"task":[84],"image":[86,109],"segmentation":[87,172],"deposits.":[90],"Specifically,":[91],"we":[92,124],"utilized":[93],"SeNet":[94],"backbone":[96],"so":[97],"implicitly":[100],"learn":[101],"suppress":[103],"irrelevant":[104],"regions":[105],"an":[107,126],"input":[108],"while":[110],"highlighting":[111],"salient":[112],"features":[113],"useful":[114],"task.":[117],"Considering":[118],"multi-scales":[122],"information,":[123],"improved":[127],"FPN":[128],"integrate":[130],"information":[131,141],"different":[133],"scales.":[134],"order":[136],"further":[138],"fuse":[139],"from":[142],"multiple":[143],"scales,":[144],"Hypercolumns":[146],"module":[147],"inserted":[149],"at":[150],"end":[152],"network.":[155],"The":[156,174],"Se-FPN":[158],"has":[159],"been":[160],"applied":[161],"TGS":[164],"Salt":[165],"Identification":[166],"Challenge":[167],"achieved":[169],"high":[170],"quality":[171],"effect.":[173],"Mean":[175],"Intersection":[176],"over":[177],"Union":[178],"value":[179],"can":[180],"reach":[181],"0.86.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}