{"id":"https://openalex.org/W4320018456","doi":"https://doi.org/10.1109/tgrs.2023.3244037","title":"Seismic Facies Segmentation via a Segformer-Based Specific Encoder\u2013Decoder\u2013Hypercolumns Scheme","display_name":"Seismic Facies Segmentation via a Segformer-Based Specific Encoder\u2013Decoder\u2013Hypercolumns Scheme","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4320018456","doi":"https://doi.org/10.1109/tgrs.2023.3244037"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3244037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3244037","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5006895046","display_name":"Zhiguo Wang","orcid":"https://orcid.org/0000-0003-0343-7278"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiguo Wang","raw_affiliation_strings":["School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-0343-7278","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101447261","display_name":"Qiannan Wang","orcid":"https://orcid.org/0000-0001-9689-4819"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiannan Wang","raw_affiliation_strings":["School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397696","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-9198-8397"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["School of Information and Communications Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-9198-8397","affiliations":[{"raw_affiliation_string":"School of Information and Communications Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000850153","display_name":"Naihao Liu","orcid":"https://orcid.org/0000-0002-2609-7408"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Naihao Liu","raw_affiliation_strings":["School of Information and Communications Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-2609-7408","affiliations":[{"raw_affiliation_string":"School of Information and Communications Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100726524","display_name":"Yumin Chen","orcid":"https://orcid.org/0000-0001-5045-6418"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yumin Chen","raw_affiliation_strings":["School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077552109","display_name":"Jinghuai Gao","orcid":"https://orcid.org/0000-0002-0448-8555"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghuai Gao","raw_affiliation_strings":["School of Information and Communications Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-0448-8555","affiliations":[{"raw_affiliation_string":"School of Information and Communications Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":7.0271,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.98651578,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10399","display_name":"Hydrocarbon exploration and reservoir analysis","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/segmentation","display_name":"Segmentation","score":0.7404490113258362},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6702911257743835},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5499446392059326},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4796921908855438},{"id":"https://openalex.org/keywords/facies","display_name":"Facies","score":0.4777095317840576},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4166436791419983},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.415993869304657},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.30232471227645874}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7404490113258362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6702911257743835},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5499446392059326},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4796921908855438},{"id":"https://openalex.org/C146588470","wikidata":"https://www.wikidata.org/wiki/Q742139","display_name":"Facies","level":3,"score":0.4777095317840576},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4166436791419983},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.415993869304657},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.30232471227645874},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3244037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3244037","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1030109761","display_name":null,"funder_award_id":"41974137","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5688388815","display_name":null,"funder_award_id":"42274144","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1910501430","https://openalex.org/W1948751323","https://openalex.org/W2062080169","https://openalex.org/W2110104817","https://openalex.org/W2153689499","https://openalex.org/W2162959779","https://openalex.org/W2280489085","https://openalex.org/W2785795994","https://openalex.org/W2807914764","https://openalex.org/W2889679918","https://openalex.org/W2891170608","https://openalex.org/W2891255706","https://openalex.org/W2892266157","https://openalex.org/W2963787510","https://openalex.org/W2963941635","https://openalex.org/W2977897970","https://openalex.org/W2989419225","https://openalex.org/W3012353860","https://openalex.org/W3014564255","https://openalex.org/W3033008664","https://openalex.org/W3034362861","https://openalex.org/W3037765738","https://openalex.org/W3125217164","https://openalex.org/W3127080376","https://openalex.org/W3128002121","https://openalex.org/W3131500599","https://openalex.org/W3160284783","https://openalex.org/W3167921710","https://openalex.org/W3187004614","https://openalex.org/W3196862543","https://openalex.org/W4210940959","https://openalex.org/W4281774358","https://openalex.org/W4285413662","https://openalex.org/W4312227733","https://openalex.org/W4313116548","https://openalex.org/W4385245566","https://openalex.org/W6790690058","https://openalex.org/W6795435739","https://openalex.org/W6797399245"],"related_works":["https://openalex.org/W4213188889","https://openalex.org/W2108341856","https://openalex.org/W4310497763","https://openalex.org/W2383710605","https://openalex.org/W2974675328","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Seismic":[0],"facies":[1,30,82,96],"classification":[2,157],"plays":[3],"an":[4],"important":[5],"role":[6],"in":[7,27,112,158,181],"oil":[8],"and":[9,76,115,153,162],"gas":[10],"reservoir":[11],"interpretation.":[12,183],"In":[13,55,126],"the":[14,49,52,60,74,77,87,92,98,117,127,130,137,141,160,167],"past":[15],"few":[16],"years,":[17],"convolution":[18],"neural":[19],"network":[20],"(CNN)-based":[21],"models":[22,180],"have":[23],"been":[24],"widely":[25],"used":[26],"supervised":[28],"seismic":[29,81,95,133,182],"classification.":[31],"However,":[32],"to":[33,43,175],"improve":[34],"some":[35],"inherent":[36],"limitations":[37],"of":[38,72,91,102,120,129,156],"CNNs,":[39],"it":[40],"is":[41,170],"significant":[42],"explore":[44,177],"alternative":[45,178],"architectures,":[46],"such":[47],"as":[48],"Transformer":[50,93],"with":[51,123,136],"self-attention":[53],"mechanism.":[54],"this":[56],"study,":[57],"based":[58],"on":[59],"Segformer,":[61],"a":[62,69,103],"cutting-edge":[63],"semantic":[64],"segmentation":[65],"Transformer,":[66],"we":[67],"propose":[68],"U-shaped":[70],"model":[71,143],"joint":[73],"Segformer":[75],"Hypercolumn":[78],"representation":[79],"for":[80,94],"classification,":[83],"named":[84],"U-Segformer-Hyper.":[85],"As":[86],"emerging":[88],"lightweight":[89],"variant":[90],"segmentation,":[97],"proposed":[99,168],"U-Segformer-Hyper":[100,142,169],"consists":[101],"specific":[104],"encoder\u2013decoder\u2013hypercolumns":[105],"scheme,":[106],"which":[107,173],"can":[108],"extract":[109],"various":[110],"features":[111,119],"different":[113,121,124],"layers":[114,122],"fuse":[116],"output":[118],"scales.":[125],"application":[128],"public":[131],"F3":[132],"data,":[134],"compared":[135],"CNN":[138],"Benchmark":[139],"model,":[140],"has":[144],"fewer":[145,147],"parameters,":[146],"floating-point":[148],"operations":[149],"per":[150],"second":[151],"(FLOPS),":[152],"higher":[154],"accuracy":[155],"both":[159],"section-based":[161],"patch-based":[163],"training":[164],"modes.":[165],"Moreover,":[166],"open":[171],"source,":[172],"benefits":[174],"further":[176],"deep":[179]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":6}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
