{"id":"https://openalex.org/W4385453641","doi":"https://doi.org/10.1109/jstars.2023.3298989","title":"A Fast 2-D Phase Unwrapping Algorithm Based on Convolutional Neural Network","display_name":"A Fast 2-D Phase Unwrapping Algorithm Based on Convolutional Neural Network","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385453641","doi":"https://doi.org/10.1109/jstars.2023.3298989"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2023.3298989","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3298989","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10198351.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10198351.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100452624","display_name":"Han Li","orcid":"https://orcid.org/0000-0003-3779-6631"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Li","raw_affiliation_strings":["Naval Institute of Underwater Acoustic Technology, Naval University of Engineering, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3779-6631","affiliations":[{"raw_affiliation_string":"Naval Institute of Underwater Acoustic Technology, Naval University of Engineering, Wuhan, China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019218424","display_name":"Heping Zhong","orcid":"https://orcid.org/0000-0002-2798-1430"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heping Zhong","raw_affiliation_strings":["Naval Institute of Underwater Acoustic Technology, Naval University of Engineering, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-2798-1430","affiliations":[{"raw_affiliation_string":"Naval Institute of Underwater Acoustic Technology, Naval University of Engineering, Wuhan, China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101798147","display_name":"Zhen Tian","orcid":"https://orcid.org/0000-0002-6970-7958"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Tian","raw_affiliation_strings":["Naval Institute of Underwater Acoustic Technology, Naval University of Engineering, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-6970-7958","affiliations":[{"raw_affiliation_string":"Naval Institute of Underwater Acoustic Technology, Naval University of Engineering, Wuhan, China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102005834","display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0002-5710-165X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["College of Meteorology and Oceanography, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-5710-165X","affiliations":[{"raw_affiliation_string":"College of Meteorology and Oceanography, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103119104","display_name":"Jinsong Tang","orcid":"https://orcid.org/0000-0002-0805-3786"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinsong Tang","raw_affiliation_strings":["Naval Institute of Underwater Acoustic Technology, Naval University of Engineering, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0805-3786","affiliations":[{"raw_affiliation_string":"Naval Institute of Underwater Acoustic Technology, Naval University of Engineering, Wuhan, China","institution_ids":["https://openalex.org/I2800710378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":3.476,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.93146766,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"16","issue":null,"first_page":"7518","last_page":"7528"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10638","display_name":"Optical measurement and interference techniques","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"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/interferometric-synthetic-aperture-radar","display_name":"Interferometric synthetic aperture radar","score":0.7942458391189575},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7678090333938599},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7398862838745117},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6869749426841736},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5197545886039734},{"id":"https://openalex.org/keywords/interferometry","display_name":"Interferometry","score":0.46299228072166443},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4525158405303955},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36553630232810974},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.08575162291526794}],"concepts":[{"id":"https://openalex.org/C22286887","wikidata":"https://www.wikidata.org/wiki/Q1666056","display_name":"Interferometric synthetic aperture radar","level":3,"score":0.7942458391189575},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7678090333938599},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7398862838745117},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6869749426841736},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5197545886039734},{"id":"https://openalex.org/C166689943","wikidata":"https://www.wikidata.org/wiki/Q850283","display_name":"Interferometry","level":2,"score":0.46299228072166443},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4525158405303955},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36553630232810974},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.08575162291526794},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2023.3298989","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3298989","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10198351.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0dfa02393412485a864b8e03ebc573ee","is_oa":true,"landing_page_url":"https://doaj.org/article/0dfa02393412485a864b8e03ebc573ee","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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 7518-7528 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2023.3298989","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3298989","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10198351.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5674854128","display_name":"CPU+GPU\u5f02\u6784\u73af\u5883\u4e0b\u7684\u5e72\u6d89\u5408\u6210\u5b54\u5f84\u58f0\u7eb3\u4fe1\u53f7\u5e76\u884c\u5904\u7406\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61671461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7040976484","display_name":null,"funder_award_id":"42176187,61671461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8213910205","display_name":null,"funder_award_id":"42176187","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320332165","display_name":"National Geospatial-Intelligence Agency","ror":"https://ror.org/02k4pxv54"},{"id":"https://openalex.org/F4320334900","display_name":"Japan Aerospace Exploration Agency","ror":"https://ror.org/059yhyy33"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385453641.pdf","grobid_xml":"https://content.openalex.org/works/W4385453641.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W585975565","https://openalex.org/W1522301498","https://openalex.org/W1988860508","https://openalex.org/W2024364443","https://openalex.org/W2036330938","https://openalex.org/W2103459585","https://openalex.org/W2126254938","https://openalex.org/W2129849658","https://openalex.org/W2130204909","https://openalex.org/W2139917231","https://openalex.org/W2144803728","https://openalex.org/W2152403125","https://openalex.org/W2158755508","https://openalex.org/W2159006012","https://openalex.org/W2160107571","https://openalex.org/W2166387279","https://openalex.org/W2370213240","https://openalex.org/W2738804973","https://openalex.org/W2900139389","https://openalex.org/W2922795189","https://openalex.org/W2944537797","https://openalex.org/W2944779716","https://openalex.org/W2950151997","https://openalex.org/W2965034661","https://openalex.org/W3003223213","https://openalex.org/W3010584812","https://openalex.org/W3038006402","https://openalex.org/W3093642214","https://openalex.org/W3184414361","https://openalex.org/W3191610771","https://openalex.org/W3192433787","https://openalex.org/W4205606841","https://openalex.org/W4283784086","https://openalex.org/W4312352828","https://openalex.org/W4313830815","https://openalex.org/W6631190155","https://openalex.org/W6729448088","https://openalex.org/W6774015895","https://openalex.org/W6799326677","https://openalex.org/W6929747212","https://openalex.org/W6948658850"],"related_works":["https://openalex.org/W2790032735","https://openalex.org/W2373310320","https://openalex.org/W2781934594","https://openalex.org/W4384163768","https://openalex.org/W4385499758","https://openalex.org/W4400088992","https://openalex.org/W2387499565","https://openalex.org/W4382365962","https://openalex.org/W3206958763","https://openalex.org/W2159160885"],"abstract_inverted_index":{"Two-dimensional":[0],"phase":[1,12,16,134],"unwrapping":[2,22],"(2-D":[3],"PU)":[4],"is":[5,109,121,179],"the":[6,10,14,54,63,102,106,114,128,136,163,176],"process":[7],"of":[8,46],"converting":[9],"measured":[11],"into":[13,60],"real":[15],"in":[17,105],"interferometric":[18,33,39,64],"signal":[19],"processing.":[20,70],"Reliable":[21],"results":[23,168],"are":[24],"critical":[25],"for":[26,62,83],"digital":[27],"elevation":[28],"model":[29],"(DEM)":[30],"generation":[31],"using":[32,113,169],"synthetic":[34,40],"aperture":[35,41],"radar":[36],"(InSAR)":[37],"and":[38,90,111,124,142,149,171,182],"sonar":[42],"(InSAS).":[43],"The":[44,87,117],"majority":[45],"previous":[47],"research":[48],"has":[49],"concentrated":[50],"on":[51],"accuracy.":[52],"Whereas":[53],"computational":[55],"efficiency":[56],"must":[57],"be":[58],"taken":[59],"account":[61],"measurement":[65],"system":[66],"that":[67,77,175],"requires":[68],"real-time":[69],"This":[71,152],"paper":[72,153],"proposes":[73],"a":[74,91,156],"low-time-consuming":[75],"algorithm":[76,96,138,178],"can":[78],"accomplish":[79],"high-precision":[80],"2-D":[81,94],"PU":[82,95],"this":[84,99],"application":[85],"scenario.":[86],"neural":[88,115],"network":[89],"new":[92],"path-based":[93,137],"make":[97],"up":[98],"algorithm.":[100],"First,":[101],"incorrect":[103],"region":[104],"gradient":[107],"field":[108],"predicted":[110],"corrected":[112],"network.":[116],"output":[118],"channelwise":[119],"variance":[120],"then":[122],"calculated":[123],"used":[125],"to":[126,132,146,161],"generate":[127],"quality":[129,147],"maps.":[130],"Finally,":[131],"achieve":[133],"reconstruction,":[135],"performs":[139],"path":[140],"planning":[141],"flooding":[143],"integral":[144],"according":[145],"maps":[148],"compensated":[150],"gradient.":[151],"also":[154],"provides":[155],"recommended":[157],"data":[158,173],"structure":[159],"implementation":[160],"ensure":[162],"algorithm's":[164],"high":[165],"efficiency.":[166],"Experimental":[167],"InSAR":[170],"InSAS":[172],"show":[174],"proposed":[177],"highly":[180],"efficient":[181],"accurate.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
