{"id":"https://openalex.org/W1960236393","doi":"https://doi.org/10.1109/igarss.2005.1525615","title":"Land-cover classification-based persistent scatterers identification for peri-urban applications","display_name":"Land-cover classification-based persistent scatterers identification for peri-urban applications","publication_year":2005,"publication_date":"2005-11-15","ids":{"openalex":"https://openalex.org/W1960236393","doi":"https://doi.org/10.1109/igarss.2005.1525615","mag":"1960236393"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2005.1525615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2005.1525615","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05.","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/A5000794994","display_name":"Alberto Refice","orcid":"https://orcid.org/0000-0003-1895-5166"},"institutions":[{"id":"https://openalex.org/I4210146308","display_name":"Institute of Intelligent Systems for Automation","ror":"https://ror.org/051t1q308","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210146308","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"A. Refice","raw_affiliation_strings":["CNR-ISSIA, Bari, Italy"],"affiliations":[{"raw_affiliation_string":"CNR-ISSIA, Bari, Italy","institution_ids":["https://openalex.org/I4210146308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089717620","display_name":"Fabio Bovenga","orcid":"https://orcid.org/0000-0001-5602-9919"},"institutions":[{"id":"https://openalex.org/I4210112283","display_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Bari","ror":"https://ror.org/022hq6c49","country_code":"IT","type":"facility","lineage":["https://openalex.org/I160013858","https://openalex.org/I4210112283"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"F. Bovenga","raw_affiliation_strings":["Dipartimento Interateneo di Fisica, Bari, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento Interateneo di Fisica, Bari, Italy","institution_ids":["https://openalex.org/I4210112283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075315752","display_name":"Raffaele Nutricato","orcid":"https://orcid.org/0000-0001-9998-8511"},"institutions":[{"id":"https://openalex.org/I4210112283","display_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Bari","ror":"https://ror.org/022hq6c49","country_code":"IT","type":"facility","lineage":["https://openalex.org/I160013858","https://openalex.org/I4210112283"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"R. Nutricato","raw_affiliation_strings":["Dipartimento Interateneo di Fisica, Bari, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento Interateneo di Fisica, Bari, Italy","institution_ids":["https://openalex.org/I4210112283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013286118","display_name":"M. T. Chiaradia","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112283","display_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Bari","ror":"https://ror.org/022hq6c49","country_code":"IT","type":"facility","lineage":["https://openalex.org/I160013858","https://openalex.org/I4210112283"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"M.T. Chiaradia","raw_affiliation_strings":["Dipartimento Interateneo di Fisica, Bari, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento Interateneo di Fisica, Bari, Italy","institution_ids":["https://openalex.org/I4210112283"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091624646","display_name":"Janusz W\u0105sowski","orcid":"https://orcid.org/0000-0003-2920-9425"},"institutions":[{"id":"https://openalex.org/I4210091655","display_name":"Research Institute for Geo-Hydrological Protection","ror":"https://ror.org/0040zx077","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210091655","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"J. Wasowski","raw_affiliation_strings":["CNR-IRPI, Bari, Italy"],"affiliations":[{"raw_affiliation_string":"CNR-IRPI, Bari, Italy","institution_ids":["https://openalex.org/I4210091655"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5000794994"],"corresponding_institution_ids":["https://openalex.org/I4210146308"],"apc_list":null,"apc_paid":null,"fwci":1.775,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.84703459,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"2668","last_page":"2671"},"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":0.9980999827384949,"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/T10644","display_name":"Cryospheric studies and observations","score":0.9940000176429749,"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/land-cover","display_name":"Land cover","score":0.6473744511604309},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6293226480484009},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6196373701095581},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5713418126106262},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.5341141819953918},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.52208012342453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4788520336151123},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47761270403862},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.43268856406211853},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.42361077666282654},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.4109959006309509},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.330495685338974},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.30623745918273926},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2796288728713989},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1842552125453949}],"concepts":[{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.6473744511604309},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6293226480484009},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6196373701095581},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5713418126106262},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.5341141819953918},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.52208012342453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4788520336151123},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47761270403862},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.43268856406211853},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.42361077666282654},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.4109959006309509},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.330495685338974},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.30623745918273926},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2796288728713989},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1842552125453949},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2005.1525615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2005.1525615","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8600000143051147,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1604774502","https://openalex.org/W1672745209","https://openalex.org/W2007141466","https://openalex.org/W2047029664","https://openalex.org/W2081163928","https://openalex.org/W2099990809","https://openalex.org/W2113545279","https://openalex.org/W2126542712","https://openalex.org/W2153587615","https://openalex.org/W4249744610"],"related_works":["https://openalex.org/W2088899772","https://openalex.org/W3133615129","https://openalex.org/W2087854757","https://openalex.org/W2188959887","https://openalex.org/W2373152553","https://openalex.org/W3192667092","https://openalex.org/W4389201442","https://openalex.org/W2386169820","https://openalex.org/W604251607","https://openalex.org/W3170595163"],"abstract_inverted_index":{"We":[0],"illustrate,":[1],"through":[2,42,144],"a":[3,7,15,68,115],"sample":[4],"application":[5],"to":[6,18,55,61,94,107,131,139,150],"difficult":[8],"landslide":[9],"test":[10],"site,":[11],"the":[12,45,85,108,120,140,155],"use":[13],"of":[14,44,118,122,161,165,167],"novel":[16],"method":[17,50],"detect":[19],"potentially":[20],"stable":[21,36],"objects":[22],"in":[23,53,159],"Persistent":[24],"Scatterers":[25],"SAR":[26],"Interferometry":[27],"(PSI).":[28],"Conventional":[29],"PSI":[30],"processing":[31],"involves":[32],"selecting":[33],"first-guess":[34],"potential":[35],"objects,":[37],"called":[38],"PS":[39,96],"Candidates":[40],"(PSC),":[41],"thresholding":[43],"amplitude":[46],"dispersion":[47],"index.":[48],"This":[49],"can":[51],"lead,":[52],"applications":[54],"scenes":[56],"characterized":[57],"by":[58],"scarce":[59],"urbanization,":[60],"very":[62,78],"low":[63],"PSC":[64,113,137],"numbers,":[65],"insufficient":[66],"for":[67,154],"successful":[69],"subsequent":[70],"phase":[71],"analysis":[72],"if":[73],"their":[74],"spatial":[75,162],"distribution":[76],"is":[77,114],"sparse.":[79],"Our":[80],"classification-based":[81],"approach":[82],"relies":[83],"on":[84],"proven":[86],"fact":[87],"that":[88,136],"urban":[89,109,141],"areas":[90],"are":[91],"more":[92,151],"likely":[93],"contain":[95],"pixels":[97,105],"than":[98],"any":[99],"other":[100],"land-cover":[101,110],"class.":[102],"Therefore,":[103],"using":[104],"belonging":[106,138],"class":[111],"as":[112],"convenient":[116],"way":[117],"increasing":[119],"number":[121],"initial":[123],"fiducial":[124],"points":[125],"while":[126],"keeping":[127],"false":[128],"alarm":[129],"probabilities":[130],"reasonable":[132],"levels.":[133],"Results":[134],"show":[135],"class,":[142],"selected":[143],"simple":[145],"external":[146],"classification":[147],"algorithms,":[148],"lead":[149],"consistent":[152],"results":[153],"final":[156],"PS,":[157],"both":[158],"terms":[160],"density,":[163],"and":[164],"reliability":[166],"displacement":[168],"series.":[169]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
