{"id":"https://openalex.org/W2900876420","doi":"https://doi.org/10.1109/igarss.2018.8517837","title":"Persistent Scatterer Statistics and Their Detection","display_name":"Persistent Scatterer Statistics and Their Detection","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2900876420","doi":"https://doi.org/10.1109/igarss.2018.8517837","mag":"2900876420"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2018.8517837","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8517837","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/A5063389980","display_name":"H. A. Zebker","orcid":"https://orcid.org/0000-0001-9931-5237"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Howard A. Zebker","raw_affiliation_strings":["Depts. Of Geophysics and Electrical Engineering, Stanford University"],"affiliations":[{"raw_affiliation_string":"Depts. Of Geophysics and Electrical Engineering, Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073651973","display_name":"Stacey Huang","orcid":"https://orcid.org/0000-0002-7906-8467"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stacey Huang","raw_affiliation_strings":["Depts. Of Geophysics and Electrical Engineering, Stanford University"],"affiliations":[{"raw_affiliation_string":"Depts. Of Geophysics and Electrical Engineering, Stanford University","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063389980"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07932719,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"112","issue":null,"first_page":"1356","last_page":"1359"},"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/T10535","display_name":"Landslides and related hazards","score":0.996999979019165,"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"}},{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.996999979019165,"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/interferometric-synthetic-aperture-radar","display_name":"Interferometric synthetic aperture radar","score":0.688139796257019},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.6838375926017761},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6484289169311523},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6240167617797852},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.6109225749969482},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.586700439453125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5290999412536621},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5251222252845764},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.5011498928070068},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4968443214893341},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.4369277358055115},{"id":"https://openalex.org/keywords/deformation","display_name":"Deformation (meteorology)","score":0.4365558922290802},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.436368465423584},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4120102524757385},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3930855691432953},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3843672573566437},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3521687388420105},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2770088315010071},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.26262736320495605},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2549038529396057},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.13494622707366943},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13124915957450867},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.12706947326660156},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.11322185397148132}],"concepts":[{"id":"https://openalex.org/C22286887","wikidata":"https://www.wikidata.org/wiki/Q1666056","display_name":"Interferometric synthetic aperture radar","level":3,"score":0.688139796257019},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.6838375926017761},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6484289169311523},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6240167617797852},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.6109225749969482},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.586700439453125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5290999412536621},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5251222252845764},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.5011498928070068},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4968443214893341},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.4369277358055115},{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.4365558922290802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.436368465423584},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4120102524757385},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3930855691432953},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3843672573566437},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3521687388420105},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2770088315010071},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.26262736320495605},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2549038529396057},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.13494622707366943},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13124915957450867},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.12706947326660156},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.11322185397148132},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2018.8517837","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8517837","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":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W142676191","https://openalex.org/W1672745209","https://openalex.org/W1674096807","https://openalex.org/W1870126550","https://openalex.org/W2014854684","https://openalex.org/W2047029664","https://openalex.org/W2076884974","https://openalex.org/W2079516462","https://openalex.org/W2099008772","https://openalex.org/W2121773078","https://openalex.org/W2163062228","https://openalex.org/W2166166955","https://openalex.org/W2171143223","https://openalex.org/W4229937894","https://openalex.org/W6605836813","https://openalex.org/W6685094274"],"related_works":["https://openalex.org/W3206958763","https://openalex.org/W2159160885","https://openalex.org/W2545123933","https://openalex.org/W2585813813","https://openalex.org/W2041414401","https://openalex.org/W2042726296","https://openalex.org/W2096748030","https://openalex.org/W3016428515","https://openalex.org/W2160730947","https://openalex.org/W2747205507"],"abstract_inverted_index":{"InSAR":[0,22],"time":[1],"series":[2],"analysis":[3],"of":[4,10,85,100,109],"deformation":[5,66],"fields":[6],"requires":[7],"a":[8],"set":[9],"single":[11],"look":[12],"complex":[13],"(SLC)":[14],"radar":[15,136],"images":[16],"whose":[17],"pixels":[18],"accurately":[19],"represent":[20],"the":[21,40,56,65,75,101,114,135],"phase.":[23],"In":[24],"some":[25],"surface":[26,110],"cover":[27,111],"environments,":[28],"such":[29],"as":[30,69,71],"vegetated":[31],"regions":[32],"where":[33],"plant":[34],"growth":[35],"produces":[36],"echoes":[37],"unrelated":[38],"to":[39,48,120,127,134,142],"underlying":[41],"surface,":[42],"reliable":[43],"phase":[44],"estimates":[45,67,99],"are":[46,68],"difficult":[47],"identify.":[49],"Persistent":[50],"scattering":[51,137],"(PS)":[52],"methods":[53],"sort":[54],"for":[55,106],"most":[57],"stable":[58],"points":[59],"in":[60],"an":[61],"image,":[62],"so":[63],"that":[64,139],"robust":[70],"possible.":[72],"To":[73],"date":[74],"often-used":[76],"selection":[77],"algorithms":[78],"have":[79],"not":[80],"always":[81],"fully":[82],"incorporated":[83],"knowledge":[84],"PS":[86,143],"point":[87],"distributions":[88],"or":[89],"how":[90,113],"they":[91],"vary":[92],"by":[93],"terrain":[94],"type.":[95],"Here":[96],"we":[97],"show":[98],"probability":[102],"density":[103],"functions":[104],"(pdfs)":[105],"several":[107],"types":[108],"and":[112,130],"added":[115],"information":[116],"can":[117],"be":[118],"applied":[119],"use":[121],"MAP":[122],"rather":[123],"than":[124],"MLE":[125],"estimation":[126],"improve":[128],"selection,":[129],"also":[131],"give":[132,140],"insights":[133],"processes":[138],"rise":[141],"pixels.":[144]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}