{"id":"https://openalex.org/W4402352996","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651017","title":"Multi-axis frequency domain residual UNet for pore identification in deep shale scanning electron microscopy images","display_name":"Multi-axis frequency domain residual UNet for pore identification in deep shale scanning electron microscopy images","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402352996","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651017"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10651017","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10651017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5067983994","display_name":"Xingpeng Zhang","orcid":"https://orcid.org/0000-0001-6547-6374"},"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":"Xingpeng Zhang","raw_affiliation_strings":["Southwest Petroleum University,School of Computer Science and Software Engineering,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Petroleum University,School of Computer Science and Software Engineering,Chengdu,China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100393370","display_name":"Zheng Li","orcid":"https://orcid.org/0000-0001-5217-8319"},"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":"Zheng Li","raw_affiliation_strings":["Southwest Petroleum University,School of Computer Science and Software Engineering,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Petroleum University,School of Computer Science and Software Engineering,Chengdu,China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076766949","display_name":"Bin Xiao","orcid":"https://orcid.org/0009-0006-6342-9244"},"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":"Bin Xiao","raw_affiliation_strings":["Southwest Petroleum University,School of Computer Science and Software Engineering,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Petroleum University,School of Computer Science and Software Engineering,Chengdu,China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100382559","display_name":"Bing Wang","orcid":"https://orcid.org/0009-0009-3321-1297"},"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":"Bing Wang","raw_affiliation_strings":["Southwest Petroleum University,School of Computer Science and Software Engineering,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Petroleum University,School of Computer Science and Software Engineering,Chengdu,China","institution_ids":["https://openalex.org/I165745306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165745306"],"apc_list":null,"apc_paid":null,"fwci":0.2167,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45152682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10399","display_name":"Hydrocarbon exploration and reservoir analysis","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10399","display_name":"Hydrocarbon exploration and reservoir analysis","score":0.9998999834060669,"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/T10635","display_name":"Hydraulic Fracturing and Reservoir Analysis","score":0.9955999851226807,"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"}},{"id":"https://openalex.org/T12603","display_name":"NMR spectroscopy and applications","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/scanning-electron-microscope","display_name":"Scanning electron microscope","score":0.7811809778213501},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6895328760147095},{"id":"https://openalex.org/keywords/oil-shale","display_name":"Oil shale","score":0.63704514503479},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.5620842576026917},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.44905662536621094},{"id":"https://openalex.org/keywords/microscopy","display_name":"Microscopy","score":0.4381476938724518},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4328742027282715},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3330768644809723},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.309647798538208},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.26763075590133667},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.22439950704574585},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13967716693878174},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.0873388946056366},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0652531087398529}],"concepts":[{"id":"https://openalex.org/C26771246","wikidata":"https://www.wikidata.org/wiki/Q321095","display_name":"Scanning electron microscope","level":2,"score":0.7811809778213501},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6895328760147095},{"id":"https://openalex.org/C153127940","wikidata":"https://www.wikidata.org/wiki/Q221378","display_name":"Oil shale","level":2,"score":0.63704514503479},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.5620842576026917},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.44905662536621094},{"id":"https://openalex.org/C147080431","wikidata":"https://www.wikidata.org/wiki/Q1074953","display_name":"Microscopy","level":2,"score":0.4381476938724518},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4328742027282715},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3330768644809723},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.309647798538208},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.26763075590133667},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.22439950704574585},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13967716693878174},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0873388946056366},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0652531087398529},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/ijcnn60899.2024.10651017","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10651017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334111","display_name":"Innovation Fund","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1972128529","https://openalex.org/W1980073009","https://openalex.org/W2515780320","https://openalex.org/W2798122215","https://openalex.org/W2801506359","https://openalex.org/W2884436604","https://openalex.org/W2962914239","https://openalex.org/W2963351448","https://openalex.org/W3034771037","https://openalex.org/W3095135941","https://openalex.org/W3127751679","https://openalex.org/W3160412534","https://openalex.org/W3162739523","https://openalex.org/W4220922243","https://openalex.org/W4224299084","https://openalex.org/W4294225809","https://openalex.org/W4303700070","https://openalex.org/W4307410794","https://openalex.org/W4313814268","https://openalex.org/W4393377653","https://openalex.org/W6726612817","https://openalex.org/W6750469568","https://openalex.org/W6790275670","https://openalex.org/W6845934618"],"related_works":["https://openalex.org/W1973284405","https://openalex.org/W4389099478","https://openalex.org/W2088147066","https://openalex.org/W2008231637","https://openalex.org/W179992691","https://openalex.org/W2366929303","https://openalex.org/W1589362595","https://openalex.org/W4313655099","https://openalex.org/W1969627016","https://openalex.org/W2578851290"],"abstract_inverted_index":{"The":[0],"characterization":[1],"of":[2,26,80,85,134],"shale":[3,18,27,50,125],"pore":[4],"size,":[5],"surface":[6],"area,":[7],"porosity,":[8],"fractal":[9],"dimension,":[10],"and":[11,36,115],"other":[12],"parameters":[13],"is":[14],"crucial":[15],"for":[16,49],"estimating":[17],"gas":[19],"reserves.":[20],"Scanning":[21],"electron":[22],"microscope":[23],"(SEM)":[24],"images":[25],"provide":[28],"comprehensive":[29],"information":[30],"on":[31,123],"organic":[32],"pores,":[33,35],"inorganic":[34],"micro-fractures":[37],"within":[38,78,118],"the":[39,74,81,86,101,109,119,130,135],"rock.":[40],"However,":[41],"there":[42],"are":[43],"limited":[44],"intelligent":[45],"segmentation":[46,65,132],"methods":[47],"available":[48],"SEM":[51,126],"images.":[52],"To":[53],"address":[54],"this":[55],"gap,":[56],"we":[57],"introduce":[58],"a":[59,91,124],"multi-axis":[60,93],"frequency":[61,94],"domain":[62,95],"residual":[63,96],"semantic":[64],"network,":[66],"referred":[67],"to":[68,99,111],"as":[69],"MaFR2UNet.":[70],"This":[71,106],"network":[72],"refines":[73],"feature":[75,103],"extraction":[76,104],"process":[77],"each":[79],"four":[82],"multi-scale":[83],"branches":[84],"Res2Net":[87],"architecture.":[88],"It":[89],"incorporates":[90],"frequency-domain-leveraging":[92],"block":[97],"(MaFR)":[98],"enhance":[100],"network\u2019s":[102],"capabilities.":[105],"design":[107],"enables":[108],"model":[110],"effectively":[112],"capture":[113],"texture":[114],"detailed":[116],"features":[117],"image.":[120],"Experimental":[121],"results":[122],"image":[127],"dataset":[128],"demonstrate":[129],"superior":[131],"performance":[133],"refined":[136],"algorithm.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
