{"id":"https://openalex.org/W2901671478","doi":"https://doi.org/10.1109/igarss.2018.8518660","title":"Two-Dimensional Displacement Analysis with Sar Images Based on Persistent Scatterer Clustering","display_name":"Two-Dimensional Displacement Analysis with Sar Images Based on Persistent Scatterer Clustering","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2901671478","doi":"https://doi.org/10.1109/igarss.2018.8518660","mag":"2901671478"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2018.8518660","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8518660","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/A5051219029","display_name":"Daisuke Ikefuji","orcid":null},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Daisuke Ikefuji","raw_affiliation_strings":["Data Science Research Laboratories, NEC Corporation"],"affiliations":[{"raw_affiliation_string":"Data Science Research Laboratories, NEC Corporation","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025943706","display_name":"Taichi Tanaka","orcid":null},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Taichi Tanaka","raw_affiliation_strings":["Data Science Research Laboratories, NEC Corporation"],"affiliations":[{"raw_affiliation_string":"Data Science Research Laboratories, NEC Corporation","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033014359","display_name":"Osamu Hoshuyama","orcid":null},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Osamu Hoshuyama","raw_affiliation_strings":["Data Science Research Laboratories, NEC Corporation"],"affiliations":[{"raw_affiliation_string":"Data Science Research Laboratories, NEC Corporation","institution_ids":["https://openalex.org/I118347220"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051219029"],"corresponding_institution_ids":["https://openalex.org/I118347220"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08329626,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"76","last_page":"79"},"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9983999729156494,"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/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/displacement","display_name":"Displacement (psychology)","score":0.8100084066390991},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7887773513793945},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.7256397008895874},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5715410113334656},{"id":"https://openalex.org/keywords/interferometry","display_name":"Interferometry","score":0.5257676243782043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47548162937164307},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.4387877881526947},{"id":"https://openalex.org/keywords/displacement-mapping","display_name":"Displacement mapping","score":0.4365575313568115},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4101565182209015},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37125682830810547},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2962634265422821},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2935565710067749},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.2641056776046753},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.21398672461509705},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21395209431648254},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2102801501750946}],"concepts":[{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.8100084066390991},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7887773513793945},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.7256397008895874},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5715410113334656},{"id":"https://openalex.org/C166689943","wikidata":"https://www.wikidata.org/wiki/Q850283","display_name":"Interferometry","level":2,"score":0.5257676243782043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47548162937164307},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.4387877881526947},{"id":"https://openalex.org/C123149101","wikidata":"https://www.wikidata.org/wiki/Q1229184","display_name":"Displacement mapping","level":3,"score":0.4365575313568115},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4101565182209015},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37125682830810547},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2962634265422821},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2935565710067749},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2641056776046753},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.21398672461509705},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21395209431648254},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2102801501750946},{"id":"https://openalex.org/C200585589","wikidata":"https://www.wikidata.org/wiki/Q752176","display_name":"Texture mapping","level":2,"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/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"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.2018.8518660","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8518660","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":[{"score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1638127209","https://openalex.org/W2047029664","https://openalex.org/W2077278184","https://openalex.org/W2103290993","https://openalex.org/W2145318194","https://openalex.org/W2771914750","https://openalex.org/W6636966625"],"related_works":["https://openalex.org/W2116948344","https://openalex.org/W1988809445","https://openalex.org/W2112026144","https://openalex.org/W2045753504","https://openalex.org/W2016541458","https://openalex.org/W4248877799","https://openalex.org/W2128409859","https://openalex.org/W2102036934","https://openalex.org/W4249003478","https://openalex.org/W2045227467"],"abstract_inverted_index":{"In":[0,49],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,41,97],"two-dimensional":[6,56],"displacement":[7,27,57,125],"analysis":[8,43,62,126],"method":[9,74,144],"with":[10,148],"persistent":[11],"scatterer":[12],"(PS)":[13],"clustering":[14,104],"technique":[15,24,54],"for":[16],"monitoring":[17],"ground":[18,29],"and":[19,30,60],"buildings.":[20],"PS":[21,80,103],"interferometry":[22],"(PSI)":[23],"measures":[25],"millimetric":[26],"of":[28,44,63,93,110,116],"buildings,":[31],"by":[32,40,66,79,130],"employing":[33],"stable":[34],"reflection":[35],"points":[36],"called":[37],"PSs":[38,64,77,85,95,112],"obtained":[39,65],"time-series":[42],"synthetic":[45],"aperture":[46],"radar":[47],"images.":[48],"order":[50],"to":[51,55,87,106],"extend":[52],"PSI":[53],"analysis,":[58],"alignment":[59,109,136],"integration":[61,115],"different":[67,119],"observation":[68,120],"directions":[69],"are":[70,100],"needed.":[71],"The":[72,102,122],"proposed":[73,143],"integrates":[75],"the":[76,84,88,94,111,114,134,142],"aligned":[78],"clustering,":[81],"which":[82],"separates":[83],"corresponding":[86],"structures":[89],"assuming":[90],"that":[91,141],"displacements":[92,117],"on":[96],"rigid":[98],"structure":[99],"similar.":[101],"leads":[105],"an":[107],"easy":[108],"before":[113],"from":[118],"directions.":[121],"resulting":[123],"integrated":[124],"avoids":[127],"errors":[128],"caused":[129],"inappropriate":[131],"interpolation":[132],"in":[133],"conventional":[135],"method.":[137],"Experimental":[138],"results":[139],"demonstrate":[140],"achieves":[145],"accuracy":[146],"comparable":[147],"bench":[149],"marks.":[150]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}