{"id":"https://openalex.org/W2116152828","doi":"https://doi.org/10.1109/igarss.2003.1293884","title":"Polarimetric optimisation applied to permanent scatterers identification","display_name":"Polarimetric optimisation applied to permanent scatterers identification","publication_year":2004,"publication_date":"2004-05-25","ids":{"openalex":"https://openalex.org/W2116152828","doi":"https://doi.org/10.1109/igarss.2003.1293884","mag":"2116152828"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2003.1293884","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2003.1293884","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477)","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":[],"countries":[],"is_corresponding":true,"raw_author_name":"A. Refice","raw_affiliation_strings":["CNR-IRA, Sez. Matera, Matera, Italy","CNR, Matera, Italy"],"affiliations":[{"raw_affiliation_string":"CNR-IRA, Sez. Matera, Matera, Italy","institution_ids":[]},{"raw_affiliation_string":"CNR, Matera, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091232821","display_name":"Francesco Mattia","orcid":"https://orcid.org/0000-0002-0180-564X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"F. Mattia","raw_affiliation_strings":["CNR-IRA, Sez. Matera, Matera, Italy","CNR, Matera, Italy"],"affiliations":[{"raw_affiliation_string":"CNR-IRA, Sez. Matera, Matera, Italy","institution_ids":[]},{"raw_affiliation_string":"CNR, Matera, Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061183639","display_name":"Giacomo De Carolis","orcid":"https://orcid.org/0000-0002-0523-9446"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G. de Carolis","raw_affiliation_strings":["CNR-IRA, Sez. Matera, Matera, Italy","CNR, Matera, Italy"],"affiliations":[{"raw_affiliation_string":"CNR-IRA, Sez. Matera, Matera, Italy","institution_ids":[]},{"raw_affiliation_string":"CNR, Matera, Italy","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000794994"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.54,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.8503611,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"687","last_page":"689"},"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":1.0,"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":1.0,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9993000030517578,"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/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9976999759674072,"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/clutter","display_name":"Clutter","score":0.9004083871841431},{"id":"https://openalex.org/keywords/backscatter","display_name":"Backscatter (email)","score":0.6476989984512329},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.629125714302063},{"id":"https://openalex.org/keywords/polarimetry","display_name":"Polarimetry","score":0.6223524212837219},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5675066709518433},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5178580284118652},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.512652575969696},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5089573860168457},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4976194202899933},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.48055580258369446},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4581327736377716},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4392904043197632},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.3323501944541931},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.29386574029922485},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.250582754611969},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24936333298683167},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2330242395401001},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.2113591432571411},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20243272185325623},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.1753576099872589},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09690061211585999},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.09388485550880432},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08372312784194946}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.9004083871841431},{"id":"https://openalex.org/C30354325","wikidata":"https://www.wikidata.org/wiki/Q204667","display_name":"Backscatter (email)","level":3,"score":0.6476989984512329},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.629125714302063},{"id":"https://openalex.org/C28493345","wikidata":"https://www.wikidata.org/wiki/Q899381","display_name":"Polarimetry","level":3,"score":0.6223524212837219},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5675066709518433},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5178580284118652},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.512652575969696},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5089573860168457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4976194202899933},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.48055580258369446},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4581327736377716},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4392904043197632},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3323501944541931},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.29386574029922485},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.250582754611969},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24936333298683167},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2330242395401001},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2113591432571411},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20243272185325623},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.1753576099872589},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09690061211585999},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.09388485550880432},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08372312784194946},{"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.2003.1293884","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2003.1293884","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477)","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":10,"referenced_works":["https://openalex.org/W2012204426","https://openalex.org/W2047029664","https://openalex.org/W2056804809","https://openalex.org/W2077717067","https://openalex.org/W2099008772","https://openalex.org/W2114509411","https://openalex.org/W2144447636","https://openalex.org/W2153587615","https://openalex.org/W2171296070","https://openalex.org/W3023911918"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W2333771223","https://openalex.org/W2120056845","https://openalex.org/W1981531423","https://openalex.org/W2070318884","https://openalex.org/W1679012645","https://openalex.org/W2011939812","https://openalex.org/W1977371217","https://openalex.org/W4390651539"],"abstract_inverted_index":{"In":[0,21,89],"this":[1],"work,":[2],"the":[3,11,23,27,32,43,55,65,68,82,90,109,132,136,146,173],"potential":[4],"of":[5,13,25,37,45,67,94,108,113,123,135,145,152,161],"full-polarimetric":[6],"SAR":[7,115],"data":[8],"to":[9,51,64,142],"enhance":[10],"performance":[12],"permanent":[14],"scatterers":[15],"candidates":[16],"(PSC)":[17],"detection":[18],"is":[19,40,102],"investigated.":[20,99],"particular,":[22],"problem":[24,56],"finding":[26],"polarisation":[28,87,169],"states":[29,170],"that":[30,119,157],"maximise":[31],"signal":[33,50],"amplitude":[34],"inverse":[35],"coefficient":[36],"variation":[38],"(ICV)":[39],"analyzed.":[41],"Under":[42],"hypotheses":[44],"Rice":[46],"statistics":[47],"and":[48,73,85,96],"high":[49],"clutter":[52,74,97],"ratio":[53,69],"(SCR),":[54],"can":[57,78],"be":[58,79,164],"cast":[59],"into":[60],"a":[61,158],"form":[62],"equivalent":[63],"optimisation":[66],"between":[70],"PS":[71,95],"(target)":[72],"backscatter.":[75],"Then,":[76],"solution":[77],"derived":[80],"for":[81],"optimal":[83,120,168],"transmit":[84],"receive":[86],"states.":[88],"paper,":[91],"selected":[92],"typologies":[93],"are":[98,128],"The":[100],"approach":[101],"validated":[103],"through":[104],"Monte":[105],"Carlo":[106],"simulation":[107,151],"multitemporal":[110],"polarimetric":[111],"response":[112],"PS-like":[114],"pixels.":[116],"Results":[117],"indicate":[118],"ICV":[121,153],"values":[122],"polarimetrically":[124],"complex":[125],"PSC":[126,162],"pixels":[127],"higher":[129,159],"than":[130,171],"in":[131,172],"ERS":[133],"case":[134],"single":[137],"VV":[138,175],"channel,":[139],"thus":[140],"leading":[141],"increased":[143],"stability":[144],"subsequent":[147],"parameter":[148],"retrieval.":[149],"Moreover,":[150],"vs.":[154],"SCR":[155],"suggest":[156],"number":[160],"may":[163],"detected":[165],"by":[166],"using":[167],"conventional":[174],"channel":[176],"alone.":[177]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}