{"id":"https://openalex.org/W4312408645","doi":"https://doi.org/10.1109/igarss46834.2022.9883924","title":"Optical and Acoustic Fusion in Borehole Imaging Logging","display_name":"Optical and Acoustic Fusion in Borehole Imaging Logging","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312408645","doi":"https://doi.org/10.1109/igarss46834.2022.9883924"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9883924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883924","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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/A5078641039","display_name":"Jiahang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahang Li","raw_affiliation_strings":["Southwest Petroleum University,School of Geoscience and Technology","School of Geoscience and Technology, Southwest Petroleum University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Petroleum University,School of Geoscience and Technology","institution_ids":["https://openalex.org/I165745306"]},{"raw_affiliation_string":"School of Geoscience and Technology, Southwest Petroleum University","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101931558","display_name":"Long Liang","orcid":"https://orcid.org/0000-0002-2538-6726"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Long Liang","raw_affiliation_strings":["Southwest China Research Institute of Electronic Equipment"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest China Research Institute of Electronic Equipment","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042907565","display_name":"Yukun Gong","orcid":"https://orcid.org/0000-0001-6860-3893"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yukun Gong","raw_affiliation_strings":["Southwest Petroleum University,School of Geoscience and Technology","School of Geoscience and Technology, Southwest Petroleum University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Petroleum University,School of Geoscience and Technology","institution_ids":["https://openalex.org/I165745306"]},{"raw_affiliation_string":"School of Geoscience and Technology, Southwest Petroleum University","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005512002","display_name":"Aoting He","orcid":null},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aoting He","raw_affiliation_strings":["Southwest Petroleum University,School of Geoscience and Technology","School of Geoscience and Technology, Southwest Petroleum University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Petroleum University,School of Geoscience and Technology","institution_ids":["https://openalex.org/I165745306"]},{"raw_affiliation_string":"School of Geoscience and Technology, Southwest Petroleum University","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037290686","display_name":"Qi Zhu","orcid":"https://orcid.org/0000-0001-7740-292X"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Zhu","raw_affiliation_strings":["Southwest Petroleum University,School of Mechatronic Engineering","School of Mechatronic Engineering, Southwest Petroleum University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Petroleum University,School of Mechatronic Engineering","institution_ids":["https://openalex.org/I165745306"]},{"raw_affiliation_string":"School of Mechatronic Engineering, Southwest Petroleum University","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058416481","display_name":"Xuyang Gao","orcid":"https://orcid.org/0000-0001-5171-7149"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuyang Gao","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Automation Engineering","School of Automation Engineering, University of Electronic Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Automation Engineering","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Automation Engineering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"2852","last_page":"2855"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9894000291824341,"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/computer-science","display_name":"Computer science","score":0.6975312829017639},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6593353152275085},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.61348557472229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.567906379699707},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4722541868686676},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4360755383968353},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.383334219455719}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6975312829017639},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6593353152275085},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.61348557472229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.567906379699707},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4722541868686676},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4360755383968353},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.383334219455719}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9883924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883924","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":17,"referenced_works":["https://openalex.org/W1628236353","https://openalex.org/W1968266122","https://openalex.org/W1997296225","https://openalex.org/W2015031675","https://openalex.org/W2209762097","https://openalex.org/W2266694576","https://openalex.org/W2522212509","https://openalex.org/W2798018774","https://openalex.org/W2884436604","https://openalex.org/W3028492226","https://openalex.org/W3036032447","https://openalex.org/W3046194589","https://openalex.org/W3119213154","https://openalex.org/W3125346762","https://openalex.org/W3172327731","https://openalex.org/W3181367324","https://openalex.org/W6750340235"],"related_works":["https://openalex.org/W2669956259","https://openalex.org/W4249005693","https://openalex.org/W4392946183","https://openalex.org/W3088732000","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049"],"abstract_inverted_index":{"Optical":[0],"Televiewer":[1,5],"(OTV)":[2],"and":[3,22,48,69,77,114,139,152],"Acoustic":[4],"(ATV)":[6],"are":[7,118],"cornerstones":[8],"of":[9,20,91,100,127],"establishing":[10],"borehole":[11],"imaging":[12,36],"logging":[13],"systems.":[14],"OTV":[15],"provides":[16],"the":[17,50,80,86,92,98,115,125,128,144],"intuitive":[18],"analysis":[19],"lithology":[21],"textures,":[23],"while":[24],"ATV":[25],"has":[26],"advantages":[27],"in":[28,58,85,103,111],"presenting":[29],"fractures":[30],"at":[31],"deep":[32],"formation.":[33],"Combining":[34],"both":[35],"methods":[37,149],"with":[38,64,120],"integrated":[39],"interpretation":[40],"is":[41,56,72,83],"conducive":[42],"for":[43,74,97,135],"geophysicists":[44],"to":[45],"characterize":[46],"structures,":[47],"therefore":[49],"synthesis":[51],"based":[52],"on":[53],"image":[54],"fusion":[55,81],"studied":[57],"this":[59],"paper.":[60],"The":[61,89,105],"self-supervised":[62],"autoencoder":[63],"convolutional":[65,112],"neural":[66],"networks":[67,107],"(CNN)":[68],"transformer":[70],"modules":[71],"established":[73],"feature":[75],"extraction":[76],"reconstruction,":[78],"where":[79],"strategy":[82],"implemented":[84],"independent":[87],"stage.":[88],"introduction":[90,126],"self-attention":[93,129],"mechanism":[94,130],"makes":[95,131],"up":[96,132],"lack":[99],"long-range":[101,133],"relationships":[102],"CNN.":[104],"nested":[106],"capture":[108],"detailed":[109],"information":[110],"layers,":[113],"semantic":[116],"features":[117],"conveyed":[119],"fine-grained":[121],"decomposition":[122],"simultaneously.":[123],"Besides,":[124],"dependencies":[134],"intrinsic":[136],"information.":[137],"Quali-tative":[138],"quantitative":[140],"experiments":[141],"prove":[142],"that":[143],"proposed":[145],"scheme":[146],"outperforms":[147],"competitive":[148],"over":[150],"textured":[151],"structural":[153],"fidelity.":[154]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}