{"id":"https://openalex.org/W2402573783","doi":"https://doi.org/10.1109/icassp.2016.7471851","title":"Tensor-based subspace learning for tracking salt-dome boundaries constrained by seismic attributes","display_name":"Tensor-based subspace learning for tracking salt-dome boundaries constrained by seismic attributes","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2402573783","doi":"https://doi.org/10.1109/icassp.2016.7471851","mag":"2402573783"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7471851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7471851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100422357","display_name":"Zhen Wang","orcid":"https://orcid.org/0000-0002-7030-534X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhen Wang","raw_affiliation_strings":["Center for Energy and Geo Processing (CeGP) at Georgia Tech and KFUPM, Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Energy and Geo Processing (CeGP) at Georgia Tech and KFUPM, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101840625","display_name":"Zhiling Long","orcid":"https://orcid.org/0000-0002-1018-8591"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiling Long","raw_affiliation_strings":["Center for Energy and Geo Processing (CeGP) at Georgia Tech and KFUPM, Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Energy and Geo Processing (CeGP) at Georgia Tech and KFUPM, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006145139","display_name":"Ghassan AlRegib","orcid":"https://orcid.org/0000-0001-6818-8001"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ghassan AlRegib","raw_affiliation_strings":["Center for Energy and Geo Processing (CeGP) at Georgia Tech and KFUPM, Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Energy and Geo Processing (CeGP) at Georgia Tech and KFUPM, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4396,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79823201,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1125","last_page":"1129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9973999857902527,"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":0.9973999857902527,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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/T11131","display_name":"Proteoglycans and glycosaminoglycans research","score":0.9778000116348267,"subfield":{"id":"https://openalex.org/subfields/1307","display_name":"Cell Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.8642687797546387},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7217884063720703},{"id":"https://openalex.org/keywords/salt-dome","display_name":"Salt dome","score":0.6693956255912781},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5969042778015137},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5832086801528931},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5824856758117676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5636892318725586},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5520654916763306},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5226908922195435},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4698701500892639},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4619486927986145},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4381812810897827},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43217337131500244},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.35737961530685425},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17235761880874634},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.15577426552772522}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.8642687797546387},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7217884063720703},{"id":"https://openalex.org/C107729992","wikidata":"https://www.wikidata.org/wiki/Q477449","display_name":"Salt dome","level":2,"score":0.6693956255912781},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5969042778015137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5832086801528931},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5824856758117676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5636892318725586},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5520654916763306},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5226908922195435},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4698701500892639},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4619486927986145},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4381812810897827},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43217337131500244},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.35737961530685425},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17235761880874634},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.15577426552772522},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2016.7471851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7471851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309321","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44"},{"id":"https://openalex.org/F4320322323","display_name":"King Fahd University of Petroleum and Minerals","ror":"https://ror.org/03yez3163"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1832973934","https://openalex.org/W1999478155","https://openalex.org/W2035363894","https://openalex.org/W2080892350","https://openalex.org/W2103554575","https://openalex.org/W2124299914","https://openalex.org/W2141200867","https://openalex.org/W2289797059","https://openalex.org/W2292052231","https://openalex.org/W2293951006","https://openalex.org/W2294408195","https://openalex.org/W2312202853","https://openalex.org/W2312345733","https://openalex.org/W2325865858","https://openalex.org/W2326920424","https://openalex.org/W2328570499","https://openalex.org/W2329576811","https://openalex.org/W2329957270","https://openalex.org/W2334211250","https://openalex.org/W6638685550","https://openalex.org/W6701347154"],"related_works":["https://openalex.org/W4244325702","https://openalex.org/W1980381208","https://openalex.org/W2200771677","https://openalex.org/W2364594919","https://openalex.org/W2167092671","https://openalex.org/W1861706286","https://openalex.org/W2032109025","https://openalex.org/W4234758579","https://openalex.org/W2219338811","https://openalex.org/W2890370013"],"abstract_inverted_index":{"We":[0,16],"propose":[1],"a":[2,42],"method":[3,69],"to":[4,63],"delineate":[5],"salt-dome":[6],"structures":[7],"by":[8],"tracking":[9,46],"manually":[10],"labeled":[11],"boundaries":[12],"through":[13],"seismic":[14,34,74],"volumes.":[15],"first":[17],"extract":[18],"texture":[19,39,49],"features":[20,50],"from":[21],"boundary":[22],"regions":[23],"using":[24,72],"the":[25,36,45,65,83,86],"tensor-based":[26],"subspace":[27],"learning":[28],"method.":[29],"Then,":[30],"we":[31,54],"utilize":[32],"one":[33],"attribute,":[35],"gradient":[37],"of":[38,85],"(GoT),":[40],"as":[41],"constraint":[43],"on":[44],"process.":[47],"Using":[48],"and":[51,59,76,91],"GoT":[52],"maps,":[53],"can":[55],"identify":[56],"tracked":[57],"points":[58],"optimally":[60],"connect":[61],"them":[62],"synthesize":[64],"boundaries.":[66],"The":[67],"proposed":[68],"is":[70],"evaluated":[71],"real-world":[73],"data":[75],"experimental":[77],"results":[78],"show":[79],"that":[80],"it":[81],"outperforms":[82],"state":[84],"art":[87],"in":[88],"accuracy,":[89],"robustness,":[90],"computational":[92],"efficiency.":[93]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
