{"id":"https://openalex.org/W4382118985","doi":"https://doi.org/10.1109/tgrs.2023.3289338","title":"Robust Phase Linking in InSAR","display_name":"Robust Phase Linking in InSAR","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4382118985","doi":"https://doi.org/10.1109/tgrs.2023.3289338"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3289338","doi":"https://doi.org/10.1109/tgrs.2023.3289338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3289338","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-b","cwts-core","dongbi-b","jufo-3","norway-2","poland-200","russia-white-list-1","vabb-shw"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-04161539v1/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043108035","display_name":"Phan Viet Hoa Vu","orcid":"https://orcid.org/0000-0002-4787-4296","observed_orcids":["https://orcid.org/0000-0002-4787-4296"]},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I2801658355","display_name":"Office National d'\u00c9tudes et de Recherches A\u00e9rospatiales","ror":"https://ror.org/005y2ap84","country_code":"FR","type":"facility","lineage":["https://openalex.org/I2801658355"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Phan Viet Hoa Vu","raw_affiliation_strings":["DEMR, ONERA, Université Paris-Saclay, Palaiseau, France"],"raw_orcid":"https://orcid.org/0000-0002-4787-4296","affiliations":[{"raw_affiliation_string":"DEMR, ONERA, Université Paris-Saclay, Palaiseau, France","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I2801658355"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059566872","display_name":"Arnaud Breloy","orcid":"https://orcid.org/0000-0002-3802-9015","observed_orcids":["https://orcid.org/0000-0002-3802-9015"]},"institutions":[{"id":"https://openalex.org/I70900168","display_name":"Universit\u00e9 Savoie Mont Blanc","ror":"https://ror.org/04gqg1a07","country_code":"FR","type":"education","lineage":["https://openalex.org/I70900168"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Arnaud Breloy","raw_affiliation_strings":["LISTIC (EA3703), Université Savoie Mont-Blanc, Annecy, France"],"raw_orcid":"https://orcid.org/0000-0002-3802-9015","affiliations":[{"raw_affiliation_string":"LISTIC (EA3703), Université Savoie Mont-Blanc, Annecy, France","institution_ids":["https://openalex.org/I70900168"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089295436","display_name":"Fr\u00e9d\u00e9ric Brigui","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I2801658355","display_name":"Office National d'\u00c9tudes et de Recherches A\u00e9rospatiales","ror":"https://ror.org/005y2ap84","country_code":"FR","type":"facility","lineage":["https://openalex.org/I2801658355"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fr\u00e9d\u00e9ric Brigui","raw_affiliation_strings":["DEMR, ONERA, Université Paris-Saclay, Palaiseau, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DEMR, ONERA, Université Paris-Saclay, Palaiseau, France","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I2801658355"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049626483","display_name":"Yajing Yan","orcid":"https://orcid.org/0000-0002-2897-2317","observed_orcids":["https://orcid.org/0000-0002-2897-2317"]},"institutions":[{"id":"https://openalex.org/I70900168","display_name":"Universit\u00e9 Savoie Mont Blanc","ror":"https://ror.org/04gqg1a07","country_code":"FR","type":"education","lineage":["https://openalex.org/I70900168"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yajing Yan","raw_affiliation_strings":["LISTIC (EA3703), Université Savoie Mont Blanc, Annecy, France"],"raw_orcid":"https://orcid.org/0000-0002-2897-2317","affiliations":[{"raw_affiliation_string":"LISTIC (EA3703), Université Savoie Mont Blanc, Annecy, France","institution_ids":["https://openalex.org/I70900168"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057632387","display_name":"Guillaume Ginolhac","orcid":"https://orcid.org/0000-0001-9318-028X","observed_orcids":["https://orcid.org/0000-0001-9318-028X"]},"institutions":[{"id":"https://openalex.org/I70900168","display_name":"Universit\u00e9 Savoie Mont Blanc","ror":"https://ror.org/04gqg1a07","country_code":"FR","type":"education","lineage":["https://openalex.org/I70900168"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Guillaume Ginolhac","raw_affiliation_strings":["LISTIC (EA3703), Université Savoie Mont Blanc, Annecy, France"],"raw_orcid":"https://orcid.org/0000-0001-9318-028X","affiliations":[{"raw_affiliation_string":"LISTIC (EA3703), Université Savoie Mont Blanc, Annecy, France","institution_ids":["https://openalex.org/I70900168"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2345,"currency":"USD","value_usd":2345},"apc_paid":null,"fwci":4.1431,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.96042078,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"11"},"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":0.9980000257492065,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9980000257492065,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.0007999999797903001,"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/T10688","display_name":"Image and Signal Denoising Methods","score":9.999999747378752e-05,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/insar","display_name":"InSAR","score":0.8109999895095825},{"id":"https://openalex.org/keywords/interferometric-coherence","display_name":"interferometric coherence","score":0.5540000200271606},{"id":"https://openalex.org/keywords/phase-difference-estimation","display_name":"phase difference estimation","score":0.8190000057220459},{"id":"https://openalex.org/keywords/maximum-likelihood-estimation","display_name":"maximum likelihood estimation","score":0.7710000276565552},{"id":"https://openalex.org/keywords/covariance-matrix-estimation","display_name":"covariance matrix estimation","score":0.9359999895095825},{"id":"https://openalex.org/keywords/non-gaussian-data","display_name":"non-Gaussian data","score":0.8299999833106995},{"id":"https://openalex.org/keywords/low-rank-covariance","display_name":"low-rank covariance","score":0.8640000224113464},{"id":"https://openalex.org/keywords/sentinel-1","display_name":"Sentinel-1","score":0.6980000138282776}],"concepts":[{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6808937191963196},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6577471494674683},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.612373948097229},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5959300994873047},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5912100672721863},{"id":"https://openalex.org/C180877172","wikidata":"https://www.wikidata.org/wiki/Q5401390","display_name":"Estimation of covariance matrices","level":3,"score":0.5785430669784546},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5458259582519531},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5134097337722778},{"id":"https://openalex.org/C22286887","wikidata":"https://www.wikidata.org/wiki/Q1666056","display_name":"Interferometric synthetic aperture radar","level":3,"score":0.47249236702919006},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.43712109327316284},{"id":"https://openalex.org/C137250428","wikidata":"https://www.wikidata.org/wiki/Q5178897","display_name":"Covariance function","level":3,"score":0.424263596534729},{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.4140300154685974},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.411918967962265},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3455655872821808},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2783581614494324},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2342933714389801},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19983601570129395},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"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/tgrs.2023.3289338","doi":"https://doi.org/10.1109/tgrs.2023.3289338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3289338","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-b","cwts-core","dongbi-b","jufo-3","norway-2","poland-200","russia-white-list-1","vabb-shw"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-04161539v1","doi":null,"is_oa":true,"landing_page_url":"https://hal.science/hal-04161539v1/document","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, pp.1-11. ⟨10.1109/TGRS.2023.3289338⟩","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04161539v1","doi":null,"is_oa":true,"landing_page_url":"https://hal.science/hal-04161539v1/document","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, pp.1-11. ⟨10.1109/TGRS.2023.3289338⟩","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G7430270592","display_name":"Recursive Estimation and Prediction of Earth Deformation from SAR Image Time Series","funder_award_id":"ANR-21-CE23-0012","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W277173187","https://openalex.org/W1538433210","https://openalex.org/W1569980640","https://openalex.org/W1594563152","https://openalex.org/W1814500939","https://openalex.org/W1988303198","https://openalex.org/W1992511687","https://openalex.org/W2001278639","https://openalex.org/W2004701107","https://openalex.org/W2009506162","https://openalex.org/W2019625237","https://openalex.org/W2020756869","https://openalex.org/W2050968963","https://openalex.org/W2052893527","https://openalex.org/W2123632763","https://openalex.org/W2125027820","https://openalex.org/W2142470117","https://openalex.org/W2149414429","https://openalex.org/W2152012906","https://openalex.org/W2409021404","https://openalex.org/W2508393166","https://openalex.org/W2580442340","https://openalex.org/W2765209993","https://openalex.org/W2785978490","https://openalex.org/W2969821512","https://openalex.org/W3019827564","https://openalex.org/W3206305414","https://openalex.org/W4225982250","https://openalex.org/W4226150298","https://openalex.org/W4226293251","https://openalex.org/W4293566202","https://openalex.org/W4312366811"],"related_works":["https://openalex.org/W4293566202","https://openalex.org/W4401159029","https://openalex.org/W4387113521","https://openalex.org/W4411688119","https://openalex.org/W7154713257","https://openalex.org/W7116759207","https://openalex.org/W4387113520","https://openalex.org/W4406970705","https://openalex.org/W4412567587","https://openalex.org/W4290043170"],"abstract_inverted_index":{"Phase":[0],"linking":[1,79,148,196],"is":[2,18,69,103,111,200],"a":[3,21,36,70,98,163,184,208],"prominent":[4],"methodology":[5],"to":[6,28,44,59,89,152,155,183,193],"estimate":[7],"coherence":[8],"and":[9,203,207],"phase":[10,78,147,195],"difference":[11],"in":[12],"interferometric":[13],"synthetic-aperture":[14],"radar.":[15],"This":[16],"method":[17],"driven":[19],"by":[20,47,205],"maximum":[22,141],"likelihood":[23,142],"estimation":[24,54,128],"approach,":[25],"which":[26,56],"allows":[27],"fully":[29],"exploit":[30],"all":[31],"the":[32,48,51,84,90,108,122,125,131,160],"possible":[33],"interferograms":[34],"from":[35],"time":[37],"series.":[38],"Its":[39],"performance":[40],"is,":[41],"however,":[42],"known":[43],"be":[45,153],"affected":[46],"accuracy":[49,123],"of":[50,92,124,162,167,170],"covariance":[52,86,126,188],"matrix":[53,127],"step,":[55],"usually":[57],"requires":[58],"introduce":[60,136],"additional":[61],"prior":[62],"information":[63],"on":[64],"its":[65],"structure":[66],"when":[67,107],"there":[68],"small":[71,174],"sample":[72,85,175],"support":[73,176],"(spatial":[74],"window).":[75],"Moreover,":[76],"most":[77],"algorithms":[80],"are":[81],"built":[82],"upon":[83],"matrix,":[87],"due":[88],"assumption":[91,118],"an":[93],"underlying":[94],"Gaussian":[95],"distribution.":[96],"In":[97,150],"scenario":[99],"where":[100],"SAR":[101],"data":[102,210],"high":[104],"resolution,":[105],"or":[106],"study":[109],"area":[110],"spatially":[112],"heterogeneous":[113],"(e.g.,":[114],"urban":[115],"area),":[116],"this":[117,181],"can":[119],"also":[120,179],"limit":[121],"step.":[129],"Considering":[130],"two":[132],"aforementioned":[133],"issues,":[134,177],"we":[135,158,178],"alternative":[137],"statistical":[138],"models,":[139],"whose":[140],"estimators":[143],"then":[144,201],"yield":[145],"new":[146],"algorithms.":[149],"order":[151],"robust":[154],"non-Gaussian":[156],"data,":[157],"consider":[159],"use":[161],"more":[164],"general":[165],"model":[166],"scaled":[168],"mixture":[169],"Gaussian.":[171],"To":[172],"address":[173],"generalize":[180],"approach":[182],"possibly":[185],"low-rank":[186],"structured":[187],"matrix.":[189],"A":[190],"unified":[191],"algorithm":[192],"perform":[194],"given":[197],"these":[198],"models":[199],"derived":[202],"validated":[204],"simulations":[206],"real":[209],"case":[211],"(Sentinel-1":[212],"data).":[213]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-06-27T00:00:00"}