{"id":"https://openalex.org/W4387757548","doi":"https://doi.org/10.1109/lgrs.2023.3324746","title":"Multiple Attribute Regression Network for 3-D Seismic Horizon Tracking","display_name":"Multiple Attribute Regression Network for 3-D Seismic Horizon Tracking","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387757548","doi":"https://doi.org/10.1109/lgrs.2023.3324746"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2023.3324746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3324746","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/A5100457895","display_name":"Yu He","orcid":"https://orcid.org/0009-0001-9069-9331"},"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":true,"raw_author_name":"Yu He","raw_affiliation_strings":["School of Resources and Environment, Center for Information Geoscience, University of Electronic Science and Technology of China, Chengdu, China","Center for Information Geoscience, School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, Center for Information Geoscience, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Center for Information Geoscience, School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045732624","display_name":"Yuanzhong Chen","orcid":"https://orcid.org/0000-0002-4593-5315"},"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":"Yuanzhong Chen","raw_affiliation_strings":["School of Resources and Environment, Center for Information Geoscience, University of Electronic Science and Technology of China, Chengdu, China","Center for Information Geoscience, School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, Center for Information Geoscience, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Center for Information Geoscience, School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070316685","display_name":"Feng Qian","orcid":"https://orcid.org/0000-0002-4761-3598"},"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":"Feng Qian","raw_affiliation_strings":["School of Information and Communication Engineering, Center for Information Geoscience, University of Electronic Science and Technology of China, Chengdu, China","Center for Information Geoscience, School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Center for Information Geoscience, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Center for Information Geoscience, School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020770401","display_name":"Xin He","orcid":"https://orcid.org/0000-0003-1890-4190"},"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":"Xin He","raw_affiliation_strings":["School of Resources and Environment, Center for Information Geoscience, University of Electronic Science and Technology of China, Chengdu, China","Center for Information Geoscience, School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, Center for Information Geoscience, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Center for Information Geoscience, School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032709892","display_name":"Bingwei Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I187380120","display_name":"Agricultural Bank of China","ror":"https://ror.org/015g9sa94","country_code":"CN","type":"other","lineage":["https://openalex.org/I187380120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingwei Zheng","raw_affiliation_strings":["Tianjin Branch, Agricultural Bank of China Ltd., Tianjin, China","Tianjin Branch, Agricultural Bank of China Limited, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin Branch, Agricultural Bank of China Ltd., Tianjin, China","institution_ids":["https://openalex.org/I187380120"]},{"raw_affiliation_string":"Tianjin Branch, Agricultural Bank of China Limited, Tianjin, China","institution_ids":["https://openalex.org/I187380120"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058780083","display_name":"Guangmin Hu","orcid":"https://orcid.org/0000-0002-4694-9145"},"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":"Guangmin Hu","raw_affiliation_strings":["School of Resources and Environment, Center for Information Geoscience, University of Electronic Science and Technology of China, Chengdu, China","Center for Information Geoscience, School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, Center for Information Geoscience, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Center for Information Geoscience, School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100457895"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":2.2932,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.87253386,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9725000262260437,"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":0.9725000262260437,"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/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9111999869346619,"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":0.6880401372909546},{"id":"https://openalex.org/keywords/classification-of-discontinuities","display_name":"Classification of discontinuities","score":0.5780662894248962},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5650236010551453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5545100569725037},{"id":"https://openalex.org/keywords/horizon","display_name":"Horizon","score":0.5332688093185425},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4889010488986969},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.48815709352493286},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.48651832342147827},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4673970341682434},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46221014857292175},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4531429708003998},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.4401068687438965},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4110527038574219},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3637855052947998},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3305648863315582},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11944693326950073},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07914242148399353}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6880401372909546},{"id":"https://openalex.org/C15627037","wikidata":"https://www.wikidata.org/wiki/Q541961","display_name":"Classification of discontinuities","level":2,"score":0.5780662894248962},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5650236010551453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5545100569725037},{"id":"https://openalex.org/C159176650","wikidata":"https://www.wikidata.org/wiki/Q43261","display_name":"Horizon","level":2,"score":0.5332688093185425},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4889010488986969},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.48815709352493286},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.48651832342147827},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4673970341682434},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46221014857292175},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4531429708003998},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.4401068687438965},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4110527038574219},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3637855052947998},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3305648863315582},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11944693326950073},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07914242148399353},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2023.3324746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3324746","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":[],"awards":[{"id":"https://openalex.org/G2229449135","display_name":null,"funder_award_id":"42130812","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4831693865","display_name":null,"funder_award_id":"41874155","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1973093491","https://openalex.org/W2000089847","https://openalex.org/W2014758788","https://openalex.org/W2094189171","https://openalex.org/W2103794126","https://openalex.org/W2126097500","https://openalex.org/W2161006083","https://openalex.org/W2616468680","https://openalex.org/W2735778951","https://openalex.org/W2802007045","https://openalex.org/W2803187616","https://openalex.org/W2889351375","https://openalex.org/W2969722825","https://openalex.org/W2990506785","https://openalex.org/W2991240488","https://openalex.org/W3011644199","https://openalex.org/W3014923544","https://openalex.org/W3027318301","https://openalex.org/W3092038435","https://openalex.org/W3106884676","https://openalex.org/W3206067580","https://openalex.org/W4296268888","https://openalex.org/W4320018458","https://openalex.org/W4377145695","https://openalex.org/W6751420435"],"related_works":["https://openalex.org/W2159052453","https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2752972570","https://openalex.org/W4297051394","https://openalex.org/W2734887215","https://openalex.org/W2803255133","https://openalex.org/W2909431601","https://openalex.org/W4294770367"],"abstract_inverted_index":{"A":[0],"key":[1],"challenge":[2],"of":[3],"3-D":[4,75,189],"seismic":[5,14,40,49,76,82,167],"horizon":[6,22,58,77],"tracking":[7,18,23,59,89],"lies":[8],"in":[9,56],"effectively":[10,160],"utilizing":[11],"the":[12,43,98,107,123,130,162,179],"appropriate":[13],"attributes":[15,83,168],"to":[16,84,113,132,159],"enhance":[17],"precision.":[19],"Numerous":[20],"existing":[21],"methods":[24],"based":[25],"on":[26,33,185],"models":[27],"or":[28,35,51],"deep":[29,124,141],"learning":[30,134],"(DL),":[31],"hinge":[32],"mathematical":[34],"data-driven":[36],"mapping":[37,46],"relationships":[38,164],"between":[39,165],"data":[41,50],"and":[42,87,169],"target":[44,170],"horizons.This":[45],"utilizes":[47],"only":[48],"a":[52,68,101],"single":[53,180],"attribute,":[54],"resulting":[55],"inaccurate":[57],"across":[60],"discontinuities.":[61],"As":[62],"an":[63],"alternative":[64],"approach,":[65],"we":[66,94],"propose":[67],"multiple":[69,81,102,166],"attribute":[70,103,181],"regression":[71,104,121,182],"network":[72,183],"(MARN)":[73],"for":[74],"tracking,":[78],"which":[79,128],"leverages":[80],"achieve":[85],"precise":[86],"robust":[88],"results.":[90],"In":[91,143],"this":[92,119,144],"study,":[93],"initiate":[95],"by":[96],"formulating":[97],"problem":[99],"as":[100,151],"model,":[105,122],"subsequently":[106],"system":[108],"state":[109],"equation":[110],"is":[111,175],"introduced":[112],"establish":[114],"temporal":[115],"relationship.":[116],"To":[117],"address":[118],"nonlinear":[120],"convolutional":[125],"autoencoder":[126],"(DCAE),":[127],"possesses":[129],"capability":[131],"automatically":[133],"spatial":[135],"correlation":[136],"from":[137,148],"attributes,":[138],"thereby":[139],"extracting":[140],"features.":[142],"case,":[145],"these":[146],"features":[147],"DCAE":[149],"serve":[150],"input":[152],"sequences,":[153],"enabling":[154],"long":[155],"short-term":[156],"memory":[157],"(LSTM)":[158],"model":[161],"spatial-temporal":[163],"horizons.":[171],"The":[172],"proposed":[173],"MARN":[174],"thoroughly":[176],"compared":[177],"with":[178],"(SARN)":[184],"two":[186],"real":[187],"field":[188],"datasets.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-14T08:43:22.919905","created_date":"2025-10-10T00:00:00"}
