{"id":"https://openalex.org/W4313016867","doi":"https://doi.org/10.1109/igarss46834.2022.9884280","title":"Feature Pyramid and Global Attention Network Approach to Insar Two-Dimensional Phase Unwrapping","display_name":"Feature Pyramid and Global Attention Network Approach to Insar Two-Dimensional Phase Unwrapping","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4313016867","doi":"https://doi.org/10.1109/igarss46834.2022.9884280"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9884280","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884280","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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/A5036119845","display_name":"Xiaomao Chen","orcid":"https://orcid.org/0000-0001-6888-535X"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaomao Chen","raw_affiliation_strings":["Guilin University of Electronic Technology,Guangxi Key Laboratory of Precision Navigation Technology and Application,Guilin,China,541004"],"affiliations":[{"raw_affiliation_string":"Guilin University of Electronic Technology,Guangxi Key Laboratory of Precision Navigation Technology and Application,Guilin,China,541004","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023927737","display_name":"Qi Wu","orcid":"https://orcid.org/0000-0002-1136-7786"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Wu","raw_affiliation_strings":["Guilin University of Electronic Technology,Guangxi Key Laboratory of Precision Navigation Technology and Application,Guilin,China,541004"],"affiliations":[{"raw_affiliation_string":"Guilin University of Electronic Technology,Guangxi Key Laboratory of Precision Navigation Technology and Application,Guilin,China,541004","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046449421","display_name":"Chao He","orcid":"https://orcid.org/0000-0002-1585-9999"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao He","raw_affiliation_strings":["Guilin University of Electronic Technology,Guangxi Key Laboratory of Precision Navigation Technology and Application,Guilin,China,541004"],"affiliations":[{"raw_affiliation_string":"Guilin University of Electronic Technology,Guangxi Key Laboratory of Precision Navigation Technology and Application,Guilin,China,541004","institution_ids":["https://openalex.org/I5343935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036119845"],"corresponding_institution_ids":["https://openalex.org/I5343935"],"apc_list":null,"apc_paid":null,"fwci":0.5555,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62438675,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2923","last_page":"2926"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9959999918937683,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9861000180244446,"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/computer-science","display_name":"Computer science","score":0.738274335861206},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.7348089814186096},{"id":"https://openalex.org/keywords/interferometric-synthetic-aperture-radar","display_name":"Interferometric synthetic aperture radar","score":0.6932669281959534},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6671391725540161},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5940412282943726},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5871848464012146},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.5846491456031799},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5557446479797363},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4770611822605133},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4733434021472931},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.46243464946746826},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4500562846660614},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.44280096888542175},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4131520092487335},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.4080367088317871},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3746423125267029},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32260918617248535},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13156235218048096}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.738274335861206},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7348089814186096},{"id":"https://openalex.org/C22286887","wikidata":"https://www.wikidata.org/wiki/Q1666056","display_name":"Interferometric synthetic aperture radar","level":3,"score":0.6932669281959534},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6671391725540161},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5940412282943726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5871848464012146},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.5846491456031799},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5557446479797363},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4770611822605133},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4733434021472931},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.46243464946746826},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4500562846660614},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.44280096888542175},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4131520092487335},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4080367088317871},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3746423125267029},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32260918617248535},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13156235218048096},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9884280","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884280","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W585975565","https://openalex.org/W2129849658","https://openalex.org/W2130204909","https://openalex.org/W2139917231","https://openalex.org/W2152403125","https://openalex.org/W2789815737","https://openalex.org/W2884585870","https://openalex.org/W2900139389","https://openalex.org/W2997225633","https://openalex.org/W3003223213","https://openalex.org/W3010584812","https://openalex.org/W3093642214","https://openalex.org/W3173869051","https://openalex.org/W3184414361","https://openalex.org/W3206346897","https://openalex.org/W3206738425","https://openalex.org/W3207955490","https://openalex.org/W6751733626","https://openalex.org/W6753412334","https://openalex.org/W6803254823"],"related_works":["https://openalex.org/W1504288058","https://openalex.org/W2577364290","https://openalex.org/W2331674254","https://openalex.org/W1968935646","https://openalex.org/W2167293474","https://openalex.org/W3042897387","https://openalex.org/W3148519004","https://openalex.org/W2929240682","https://openalex.org/W4293731510","https://openalex.org/W3031154432"],"abstract_inverted_index":{"Phase":[0],"unwrapping":[1,36],"is":[2,23,44,50,61,88,94,108],"a":[3,62,77,97],"key":[4],"step":[5],"of":[6,28,122],"InSAR":[7],"signal":[8,99],"processing.":[9],"The":[10,46,69,85,101,116],"traditional":[11],"algorithm":[12],"relies":[13],"on":[14,39,90],"the":[15,20,81,105,112,120],"phase":[16,22,35,47],"continuity":[17],"assumption.":[18],"However,":[19],"unwrapped":[21,83],"not":[24],"usually":[25],"effective":[26],"because":[27],"severe":[29],"noise":[30],"and":[31,55],"dense":[32],"fringes.":[33],"A":[34],"method":[37,107],"based":[38],"deep":[40],"convolution":[41],"neural":[42,70],"network":[43,64,71],"proposed.":[45],"ambiguity":[48],"gradient":[49],"calculated":[51],"by":[52,76],"Feature":[53],"Pyramid":[54],"Global":[56],"Attention":[57],"Network":[58],"(FPGANet),":[59],"which":[60,93],"lightweight":[63],"combining":[65],"two":[66],"attention":[67],"mechanisms.":[68],"calculation":[72],"results":[73,118],"are":[74],"utilized":[75],"postprocessing":[78],"to":[79],"obtain":[80],"final":[82],"phase.":[84],"first":[86],"test":[87,103],"conducted":[89],"simulated":[91],"data,":[92],"generated":[95],"from":[96],"different":[98],"model.":[100],"second":[102],"shows":[104],"new":[106],"time":[109],"efficient":[110],"as":[111],"interferogram":[113],"size":[114],"increases.":[115],"experimental":[117],"indicate":[119],"effectiveness":[121],"FPGANet.":[123]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
