{"id":"https://openalex.org/W4320713312","doi":"https://doi.org/10.1109/lgrs.2023.3244824","title":"Enhancing MTInSAR Phase Unwrapping in Decorrelating Environments by Spatiotemporal Observation Optimization","display_name":"Enhancing MTInSAR Phase Unwrapping in Decorrelating Environments by Spatiotemporal Observation Optimization","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4320713312","doi":"https://doi.org/10.1109/lgrs.2023.3244824"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2023.3244824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3244824","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/A5009593279","display_name":"Hongyu Liang","orcid":"https://orcid.org/0000-0002-6410-1631"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyu Liang","raw_affiliation_strings":["College of Surveying and Geoinformatics, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-6410-1631","affiliations":[{"raw_affiliation_string":"College of Surveying and Geoinformatics, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665946","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-8152-2470"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["College of Surveying and Geoinformatics, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-8152-2470","affiliations":[{"raw_affiliation_string":"College of Surveying and Geoinformatics, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083978080","display_name":"Xin Li","orcid":"https://orcid.org/0000-0001-8953-4516"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8953-4516","affiliations":[{"raw_affiliation_string":"Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.2999,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.96501629,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9890000224113464,"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"}},{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":0.984499990940094,"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/decorrelation","display_name":"Decorrelation","score":0.8546311855316162},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7703706622123718},{"id":"https://openalex.org/keywords/interferometric-synthetic-aperture-radar","display_name":"Interferometric synthetic aperture radar","score":0.6314029693603516},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.609426736831665},{"id":"https://openalex.org/keywords/quadtree","display_name":"Quadtree","score":0.47368577122688293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4062683582305908},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.39858338236808777},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3899904489517212},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35690027475357056},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1411253809928894}],"concepts":[{"id":"https://openalex.org/C177860922","wikidata":"https://www.wikidata.org/wiki/Q788608","display_name":"Decorrelation","level":2,"score":0.8546311855316162},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7703706622123718},{"id":"https://openalex.org/C22286887","wikidata":"https://www.wikidata.org/wiki/Q1666056","display_name":"Interferometric synthetic aperture radar","level":3,"score":0.6314029693603516},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.609426736831665},{"id":"https://openalex.org/C151416825","wikidata":"https://www.wikidata.org/wiki/Q934791","display_name":"Quadtree","level":2,"score":0.47368577122688293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4062683582305908},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.39858338236808777},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3899904489517212},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35690027475357056},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1411253809928894}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2023.3244824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3244824","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/G3237151992","display_name":null,"funder_award_id":"22120210520","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3888895529","display_name":null,"funder_award_id":"42204023","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5917746092","display_name":null,"funder_award_id":"2021YFC3000402","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7890480159","display_name":null,"funder_award_id":"42174005","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2002814689","https://openalex.org/W2004701107","https://openalex.org/W2017927472","https://openalex.org/W2047029664","https://openalex.org/W2110940994","https://openalex.org/W2117902710","https://openalex.org/W2118442249","https://openalex.org/W2130204909","https://openalex.org/W2139917231","https://openalex.org/W2152403125","https://openalex.org/W2161661683","https://openalex.org/W2900723278","https://openalex.org/W2967036773","https://openalex.org/W3036240659","https://openalex.org/W3085206830","https://openalex.org/W3141602399"],"related_works":["https://openalex.org/W2045104684","https://openalex.org/W1991497027","https://openalex.org/W2353188126","https://openalex.org/W2542174201","https://openalex.org/W3131672414","https://openalex.org/W2157458429","https://openalex.org/W2971183605","https://openalex.org/W3206958763","https://openalex.org/W3143182746","https://openalex.org/W2159160885"],"abstract_inverted_index":{"In":[0,73],"multitemporal":[1],"interferometric":[2],"synthetic":[3,122],"aperture":[4,123],"radar":[5,124],"(MTInSAR)":[6],"processing,":[7],"phase":[8,90],"unwrapping":[9,54],"(PhU)":[10],"is":[11,66],"a":[12,27,67,70,101,115,178],"vital":[13],"procedure,":[14],"which":[15],"affects":[16,193],"the":[17,35,47,51,56,80,85,109,134,146,152,156,185,188,194],"accurate":[18],"deformation":[19],"retrieval,":[20],"especially":[21],"in":[22,151,175,197],"environments":[23],"suffering":[24],"decorrelation.":[25],"Although":[26],"great":[28],"surge":[29],"of":[30,37,53,58,88,136,148,158,187,190],"work":[31],"focuses":[32],"on":[33],"solving":[34],"integers":[36],"<inline-formula":[38],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[39],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[40],"<tex-math":[41],"notation=\"LaTeX\">$2\\pi":[42],"$":[43],"</tex-math></inline-formula>":[44],"associated":[45],"with":[46,171],"wrapped":[48],"observations":[49],"(i.e.,":[50],"inputs":[52,59,191],"algorithms),":[55],"quality":[57,87,111,189],"deserves":[60],"an":[61,94],"equal":[62],"attention,":[63],"as":[64],"it":[65],"basis":[68],"for":[69,106],"reliable":[71,179],"unwrapping.":[72],"this":[74],"letter,":[75],"we":[76,99],"seek":[77],"to":[78,144],"improve":[79],"PhU":[81],"accuracy":[82],"by":[83,161],"enhancing":[84],"entire":[86],"differential":[89],"observations.":[91],"To":[92],"select":[93],"optimal":[95],"interferogram":[96,110],"stack":[97],"efficiently,":[98],"propose":[100],"quadtree-based":[102],"coherence":[103],"estimation":[104],"method":[105,160],"fast":[107],"evaluating":[108],"and":[112,127,141,200],"then":[113],"develop":[114],"strategy":[116,132],"that":[117,192],"constructs":[118],"redundant":[119],"networks":[120],"connecting":[121],"(SAR)":[125],"images":[126],"points,":[128],"respectively.":[129],"The":[130,182],"proposed":[131],"utilizes":[133],"combination":[135],"minimum":[137],"spanning":[138],"tree":[139],"(MST)":[140],"triangular":[142],"closure":[143],"determine":[145],"pair":[147],"image/point":[149],"included":[150],"network.":[153],"We":[154],"validate":[155],"effectiveness":[157],"our":[159],"Sentine-1":[162],"SAR":[163],"data":[164],"over":[165],"Shenzhen":[166],"airport,":[167],"where":[168],"decorrelated":[169],"scatterers":[170],"weak":[172],"backscattering":[173],"energy":[174],"runways":[176],"challenge":[177],"subsidence":[180],"extraction.":[181],"cross-comparison":[183],"indicates":[184],"importance":[186],"point":[195],"connectivity":[196],"both":[198],"temporal":[199],"spatial":[201],"dimensions.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}