{"id":"https://openalex.org/W7147670298","doi":"https://doi.org/10.1109/access.2026.3679704","title":"3-D Gravity Inversion via Residual V-Net With Multi-Scale Attentional Feature Fusion","display_name":"3-D Gravity Inversion via Residual V-Net With Multi-Scale Attentional Feature Fusion","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7147670298","doi":"https://doi.org/10.1109/access.2026.3679704"},"language":"en","primary_location":{"id":"doi:10.1109/access.2026.3679704","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3679704","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2026.3679704","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5121729452","display_name":"Haobing Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haobing Yang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0009-0001-4290-5647","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000268457","display_name":"Bing Cheng","orcid":"https://orcid.org/0000-0002-1738-1466"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Cheng","raw_affiliation_strings":["College of Physics, Zhejiang University of Technology, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-1738-1466","affiliations":[{"raw_affiliation_string":"College of Physics, Zhejiang University of Technology, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132586970","display_name":"Qiu Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiu Guan","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-6928-3040","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112207554","display_name":"Zhongkun Qiao","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongkun Qiao","raw_affiliation_strings":["College of Physics, Zhejiang University of Technology, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-5073-1085","affiliations":[{"raw_affiliation_string":"College of Physics, Zhejiang University of Technology, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Junjie Zhou","orcid":"https://orcid.org/0009-0008-6685-0370"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Zhou","raw_affiliation_strings":["College of Physics, Zhejiang University of Technology, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0009-0008-6685-0370","affiliations":[{"raw_affiliation_string":"College of Physics, Zhejiang University of Technology, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":null,"display_name":"Zongyu Zhang","orcid":"https://orcid.org/0009-0009-0870-0945"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongyu Zhang","raw_affiliation_strings":["College of Physics, Zhejiang University of Technology, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0009-0009-0870-0945","affiliations":[{"raw_affiliation_string":"College of Physics, Zhejiang University of Technology, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5121729452"],"corresponding_institution_ids":["https://openalex.org/I55712492"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.75613925,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"52550","last_page":"52569"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10572","display_name":"Geophysical and Geoelectrical Methods","score":0.8281000256538391,"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/T10572","display_name":"Geophysical and Geoelectrical Methods","score":0.8281000256538391,"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/T13067","display_name":"Geological Modeling and Analysis","score":0.04490000009536743,"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/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.03189999982714653,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.738099992275238},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5687999725341797},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5583999752998352},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.5008999705314636},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4499000012874603},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4242999851703644},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.4068000018596649},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.39820000529289246},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3785000145435333}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.738099992275238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6766999959945679},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5687999725341797},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5583999752998352},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.5008999705314636},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5006999969482422},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4733999967575073},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4499000012874603},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4242999851703644},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.4068000018596649},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.39820000529289246},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3785000145435333},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36309999227523804},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.35830000042915344},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.35100001096725464},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.3192000091075897},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.29269999265670776},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.29030001163482666},{"id":"https://openalex.org/C96342900","wikidata":"https://www.wikidata.org/wiki/Q1413914","display_name":"Gravity anomaly","level":3,"score":0.29030001163482666},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2865000069141388},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.2732999920845032},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.2612999975681305},{"id":"https://openalex.org/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","level":2,"score":0.25589999556541443},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.25450000166893005},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2540000081062317},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2533999979496002}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2026.3679704","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3679704","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:57e63f9eac3a469287a1ca64235b2757","is_oa":true,"landing_page_url":"https://doaj.org/article/57e63f9eac3a469287a1ca64235b2757","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 14, Pp 52550-52569 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3679704","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3679704","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5622527238","display_name":null,"funder_award_id":"2024ZD1002904","funder_id":"https://openalex.org/F4320330373","funder_display_name":"Research and Innovation in Science and Technology Project"},{"id":"https://openalex.org/G5840755673","display_name":null,"funder_award_id":"2025ZD1008500","funder_id":"https://openalex.org/F4320330373","funder_display_name":"Research and Innovation in Science and Technology Project"},{"id":"https://openalex.org/G8661481637","display_name":null,"funder_award_id":"U24A20319","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"},{"id":"https://openalex.org/F4320330373","display_name":"Research and Innovation in Science and Technology Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Three-dimensional":[0],"(3D)":[1],"gravity":[2,20,102,242],"inversion":[3,36],"remains":[4],"a":[5,65,93,109,115,178],"fundamentally":[6],"ill-posed":[7],"and":[8,29,55,83,126,162,168,186,196,236,268],"non-unique":[9],"problem,":[10],"where":[11],"reconstructing":[12],"subsurface":[13],"density":[14],"distributions":[15],"from":[16,48],"two-dimensional":[17],"(2D)":[18],"surface":[19],"observations":[21],"is":[22,106],"severely":[23],"constrained":[24],"by":[25,208],"depth-dependent":[26,135],"sensitivity":[27],"decay":[28],"ambiguity":[30],"in":[31,87,229,252,264],"mass":[32],"placement.":[33],"Classical":[34],"Tikhonov-based":[35],"algorithms":[37],"partially":[38],"alleviate":[39],"these":[40],"issues":[41],"through":[42],"explicit":[43],"regularization":[44],"but":[45],"often":[46],"suffer":[47],"the":[49,141,225,240,246,249,253,259,262],"skin":[50,142],"effect,":[51],"oversmoothed":[52],"deep":[53,60,95,269],"anomalies,":[54],"substantial":[56],"computational":[57],"cost.":[58],"Recent":[59],"learning":[61],"(DL)":[62],"approaches":[63],"provide":[64],"data-driven":[66],"alternative;":[67],"however,":[68],"conventional":[69],"convolutional":[70],"architectures":[71],"still":[72],"struggle":[73],"with":[74,114,140,177,239],"semantic":[75,164],"inconsistency":[76],"during":[77],"multi-scale":[78],"feature":[79],"fusion,":[80],"limited":[81],"depth-awareness,":[82],"extreme":[84],"class":[85],"imbalance":[86],"geophysical":[88],"models.This":[89],"paper":[90],"presents":[91],"GravityVNet,":[92],"physics-aware":[94],"neural":[96],"framework":[97],"tailored":[98],"for":[99,134],"high-fidelity":[100],"3D":[101,116],"inversion.":[103],"The":[104,221],"architecture":[105],"built":[107],"upon":[108],"Residual":[110],"V-Net":[111],"backbone":[112],"enhanced":[113],"Coordinate":[117],"Attention":[118],"(CoordAtt)":[119],"mechanism":[120],"to":[121,217],"encode":[122],"long-range":[123],"spatial":[124],"dependencies":[125],"explicitly":[127],"preserve":[128],"depth-direction":[129],"information,":[130],"which":[131,157],"helps":[132],"compensate":[133],"attenuation":[136],"effects":[137],"commonly":[138],"associated":[139],"effect.":[143],"To":[144],"further":[145],"improve":[146],"structural":[147],"recovery,":[148],"we":[149],"introduce":[150],"Multi-Scale":[151],"Attentional":[152],"Feature":[153],"Fusion":[154],"(AFF)":[155],"modules,":[156],"adaptively":[158],"recalibrate":[159],"skip-connected":[160],"features":[161],"bridge":[163],"gaps":[165],"between":[166],"encoder":[167],"decoder":[169],"pathways.":[170],"A":[171],"Deep":[172],"Supervision":[173],"training":[174],"strategy,":[175],"combined":[176],"Hybrid":[179],"Loss":[180,185],"function":[181],"integrating":[182],"Focal":[183],"Tversky":[184],"Total":[187],"Variation":[188],"(TV)":[189],"regularization,":[190],"enforces":[191],"boundary":[192],"sharpness,":[193],"suppresses":[194],"artifacts,":[195],"strengthens":[197],"convergence":[198],"stability.":[199],"Extensive":[200],"experiments":[201],"on":[202],"large-scale,":[203],"physics-consistent":[204],"synthetic":[205],"datasets":[206],"generated":[207],"SimPEG":[209],"indicate":[210,223],"that":[211,224],"GravityVNet":[212],"achieves":[213],"competitive":[214],"performance":[215],"compared":[216],"standard":[218],"baseline":[219],"methods.":[220],"results":[222],"model":[226,263],"has":[227],"improved":[228],"terms":[230],"of":[231,248,261],"geometric":[232],"fidelity,":[233],"quantitative":[234],"accuracy,":[235],"physical":[237],"consistency":[238],"observed":[241],"response.":[243],"In":[244],"addition,":[245],"validation":[247],"measured":[250],"data":[251],"Vinton":[254],"Salt":[255],"Dome":[256],"also":[257],"proves":[258],"effectiveness":[260],"solving":[265],"composite":[266],"anomalies":[267],"structures.":[270]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2026-04-02T00:00:00"}
