{"id":"https://openalex.org/W2901353324","doi":"https://doi.org/10.1109/igarss.2018.8518382","title":"A Data-Adaptive Eof Based Method for Displacement Signal Extraction from Interferogram Time Series","display_name":"A Data-Adaptive Eof Based Method for Displacement Signal Extraction from Interferogram Time Series","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2901353324","doi":"https://doi.org/10.1109/igarss.2018.8518382","mag":"2901353324"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2018.8518382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8518382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 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/A5044814170","display_name":"R\u00e9mi Pr\u00e9bet","orcid":"https://orcid.org/0000-0002-3630-6242"},"institutions":[{"id":"https://openalex.org/I11559806","display_name":"\u00c9cole Normale Sup\u00e9rieure Paris-Saclay","ror":"https://ror.org/00hx6zz33","country_code":"FR","type":"education","lineage":["https://openalex.org/I11559806","https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"R. Prebet","raw_affiliation_strings":["Ecole Normale Sup\u00e9rieure Paris-Saclay, France"],"affiliations":[{"raw_affiliation_string":"Ecole Normale Sup\u00e9rieure Paris-Saclay, France","institution_ids":["https://openalex.org/I11559806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049626483","display_name":"Yajing Yan","orcid":"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":"Y. Yan","raw_affiliation_strings":["LISTIC, Universit\u00e9 Savoie Mont Blanc, France"],"affiliations":[{"raw_affiliation_string":"LISTIC, Universit\u00e9 Savoie Mont Blanc, France","institution_ids":["https://openalex.org/I70900168"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070178647","display_name":"Matthias Jauvin","orcid":null},"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":"M. Jauvin","raw_affiliation_strings":["LISTIC, Universit\u00e9 Savoie Mont Blanc, France"],"affiliations":[{"raw_affiliation_string":"LISTIC, Universit\u00e9 Savoie Mont Blanc, France","institution_ids":["https://openalex.org/I70900168"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038150489","display_name":"Emmanu\u00ebl Trouv\u00e9","orcid":"https://orcid.org/0000-0003-2140-3303"},"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":"E. Trouve","raw_affiliation_strings":["LISTIC, Universit\u00e9 Savoie Mont Blanc, France"],"affiliations":[{"raw_affiliation_string":"LISTIC, Universit\u00e9 Savoie Mont Blanc, France","institution_ids":["https://openalex.org/I70900168"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5044814170"],"corresponding_institution_ids":["https://openalex.org/I11559806"],"apc_list":null,"apc_paid":null,"fwci":0.2778,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59371945,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1372","last_page":"1375"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":0.9980999827384949,"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"}},"topics":[{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9975000023841858,"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"}},{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/decorrelation","display_name":"Decorrelation","score":0.9448041915893555},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.7386613488197327},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.6692491769790649},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6162540316581726},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5155332088470459},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5087800621986389},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4329652786254883},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4317907691001892},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31839245557785034},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2824651598930359},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18373733758926392},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16174283623695374},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13688677549362183},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0754406750202179}],"concepts":[{"id":"https://openalex.org/C177860922","wikidata":"https://www.wikidata.org/wiki/Q788608","display_name":"Decorrelation","level":2,"score":0.9448041915893555},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.7386613488197327},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.6692491769790649},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6162540316581726},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5155332088470459},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5087800621986389},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4329652786254883},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4317907691001892},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31839245557785034},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2824651598930359},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18373733758926392},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16174283623695374},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13688677549362183},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0754406750202179},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2018.8518382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8518382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 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":19,"referenced_works":["https://openalex.org/W2004701107","https://openalex.org/W2013211795","https://openalex.org/W2024523255","https://openalex.org/W2036839859","https://openalex.org/W2047029664","https://openalex.org/W2052893527","https://openalex.org/W2097762029","https://openalex.org/W2115277506","https://openalex.org/W2123632763","https://openalex.org/W2132234757","https://openalex.org/W2166166955","https://openalex.org/W2166361350","https://openalex.org/W2176494706","https://openalex.org/W2281166493","https://openalex.org/W2521441182","https://openalex.org/W2727337613","https://openalex.org/W2732720722","https://openalex.org/W2743032699","https://openalex.org/W4239272486"],"related_works":["https://openalex.org/W1604939135","https://openalex.org/W2127058578","https://openalex.org/W2098040275","https://openalex.org/W2735368845","https://openalex.org/W2089764958","https://openalex.org/W3109905219","https://openalex.org/W2073586885","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,19,30,60],"data-adaptive":[4],"method,":[5,10],"namely":[6],"Principal":[7],"Modes":[8],"(PM)":[9],"based":[11],"on":[12,73],"the":[13,26,39,43,56,64,68,78,94],"spatially":[14,69],"averaged":[15],"temporal":[16],"covariance":[17],"of":[18,33,63],"time":[20,31,54,76],"series":[21,32],"is":[22],"proposed":[23],"to":[24],"extract":[25],"displacement":[27,65],"signal":[28,66],"from":[29,67],"Sentinel":[34],"1":[35],"A/B":[36],"inter-ferograms":[37],"over":[38],"Gorner":[40],"glacier":[41],"during":[42],"period":[44],"between":[45],"October":[46],"2016":[47],"and":[48],"April":[49],"2017.":[50],"On":[51],"unwrapped":[52],"interferogram":[53,75],"series,":[55,77],"PM":[57,79],"method":[58,80],"provides":[59],"satisfactory":[61],"separation":[62],"correlated":[70],"perturbations,":[71],"while":[72],"wrapped":[74],"can":[81],"highlight":[82],"fringe":[83],"patterns":[84],"where":[85],"they":[86],"are":[87],"more":[88],"or":[89],"less":[90],"significantly":[91],"hindered":[92],"by":[93],"decorrelation":[95],"noise.":[96]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
