{"id":"https://openalex.org/W4402742297","doi":"https://doi.org/10.1109/lgrs.2024.3465514","title":"Delineation of Complex Basement Relief Simultaneously With Smooth and Rifted Features Using Gravity Data Based on CNN","display_name":"Delineation of Complex Basement Relief Simultaneously With Smooth and Rifted Features Using Gravity Data Based on CNN","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402742297","doi":"https://doi.org/10.1109/lgrs.2024.3465514"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2024.3465514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3465514","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5102658772","display_name":"Fang Li","orcid":"https://orcid.org/0009-0007-1534-4374"},"institutions":[{"id":"https://openalex.org/I2799486974","display_name":"China Geological Survey","ror":"https://ror.org/04wtq2305","country_code":"CN","type":"other","lineage":["https://openalex.org/I2799486974"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fang Li","raw_affiliation_strings":["China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing, China","institution_ids":["https://openalex.org/I2799486974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089727932","display_name":"Linfei Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I2799486974","display_name":"China Geological Survey","ror":"https://ror.org/04wtq2305","country_code":"CN","type":"other","lineage":["https://openalex.org/I2799486974"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linfei Wang","raw_affiliation_strings":["China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing, China","institution_ids":["https://openalex.org/I2799486974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110028537","display_name":"Hui He","orcid":null},"institutions":[{"id":"https://openalex.org/I2799486974","display_name":"China Geological Survey","ror":"https://ror.org/04wtq2305","country_code":"CN","type":"other","lineage":["https://openalex.org/I2799486974"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui He","raw_affiliation_strings":["China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing, China","institution_ids":["https://openalex.org/I2799486974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109787207","display_name":"Haofei Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I2799486974","display_name":"China Geological Survey","ror":"https://ror.org/04wtq2305","country_code":"CN","type":"other","lineage":["https://openalex.org/I2799486974"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haofei Yan","raw_affiliation_strings":["China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing, China","institution_ids":["https://openalex.org/I2799486974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102658772"],"corresponding_institution_ids":["https://openalex.org/I2799486974"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20382271,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10892","display_name":"Drilling and Well Engineering","score":0.9746999740600586,"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"}},"topics":[{"id":"https://openalex.org/T10892","display_name":"Drilling and Well Engineering","score":0.9746999740600586,"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"}},{"id":"https://openalex.org/T13067","display_name":"Geological Modeling and Analysis","score":0.9714999794960022,"subfield":{"id":"https://openalex.org/subfields/1906","display_name":"Geochemistry and Petrology"},"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/T12482","display_name":"Tunneling and Rock Mechanics","score":0.9524999856948853,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/basement","display_name":"Basement","score":0.6292189359664917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5098778009414673},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.4858238697052002},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43600425124168396},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3727457523345947},{"id":"https://openalex.org/keywords/geodesy","display_name":"Geodesy","score":0.35883235931396484},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09600716829299927}],"concepts":[{"id":"https://openalex.org/C2781297371","wikidata":"https://www.wikidata.org/wiki/Q234852","display_name":"Basement","level":2,"score":0.6292189359664917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5098778009414673},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.4858238697052002},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43600425124168396},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3727457523345947},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.35883235931396484},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09600716829299927},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2024.3465514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3465514","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"},{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2020680913","https://openalex.org/W2138163538","https://openalex.org/W2149082020","https://openalex.org/W2155830057","https://openalex.org/W2158337081","https://openalex.org/W2163100486","https://openalex.org/W2207122144","https://openalex.org/W2617606568","https://openalex.org/W2999175583","https://openalex.org/W3009195424","https://openalex.org/W3173464734","https://openalex.org/W3217607517","https://openalex.org/W4226155070","https://openalex.org/W4249736682","https://openalex.org/W4285113354","https://openalex.org/W4317761509","https://openalex.org/W4318825481","https://openalex.org/W4362714359","https://openalex.org/W4367359546","https://openalex.org/W4385373043","https://openalex.org/W4392405686"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Gravity":[0],"inversion":[1,69],"for":[2,43,56,71,109],"basement":[3,73,146],"relief":[4,74],"is":[5,40,103,118,151],"an":[6],"important":[7],"method":[8,70,117,134,150],"to":[9,46,105,153],"depict":[10],"the":[11,14,27,113,149,158],"structure":[12,31,166],"of":[13,29,112,141],"sedimentary":[15],"basin.":[16],"At":[17],"present,":[18],"researches":[19],"on":[20,26,120],"this":[21,61,63,133],"topic":[22],"are":[23,52],"mainly":[24],"based":[25],"assumption":[28],"minimum":[30],"using":[32],"different":[33,97,107],"norms.":[34,49],"However,":[35],"in":[36,137,143,157,162],"practical":[37],"applications,":[38],"it":[39],"often":[41],"difficult":[42],"these":[44],"methods":[45],"determine":[47],"appropriate":[48],"Hence,":[50],"errors":[51],"easily":[53],"introduced,":[54],"especially":[55],"complex":[57,72,145],"relief.":[58,147],"To":[59],"solve":[60],"problem,":[62],"study":[64],"presents":[65],"a":[66,100,121],"CNN-based":[67],"gravity":[68,154],"with":[75,129,170],"both":[76],"rifted":[77,92],"and":[78,93,139],"smooth":[79,94],"features.":[80],"A":[81],"multitask":[82],"learning":[83],"neural":[84],"network":[85],"has":[86],"been":[87],"designed,":[88],"which":[89],"can":[90],"extract":[91],"features":[95,108],"through":[96],"subnetworks.":[98],"Then,":[99],"converged":[101],"subnetwork":[102],"constructed":[104],"merge":[106],"getting":[110],"undulations":[111],"basement.":[114],"The":[115,124,164],"presented":[116],"tested":[119],"synthetic":[122],"model.":[123],"results":[125],"show":[126],"that,":[127],"compared":[128],"traditional":[130],"L2-norm-based":[131],"methods,":[132],"exhibits":[135],"improvement":[136],"accuracy":[138],"ease":[140],"use":[142],"recovering":[144],"Finally,":[148],"applied":[152],"data":[155],"collected":[156],"Los":[159],"Angeles":[160],"Basin":[161],"California.":[163],"obtained":[165],"shows":[167],"good":[168],"consistency":[169],"known":[171],"structure.":[172]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}