{"id":"https://openalex.org/W2063251999","doi":"https://doi.org/10.1109/igarss.2014.6947055","title":"Unmixing polarimetric radar images based on land cover type before target decomposition","display_name":"Unmixing polarimetric radar images based on land cover type before target decomposition","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2063251999","doi":"https://doi.org/10.1109/igarss.2014.6947055","mag":"2063251999"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2014.6947055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6947055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"preprint","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/A5015358167","display_name":"S\u00e9bastien Giordano","orcid":"https://orcid.org/0000-0001-9408-3334"},"institutions":[{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I2800365227","display_name":"Paris-Est Sup","ror":"https://ror.org/0268ecp52","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800365227"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Sebastien Giordano","raw_affiliation_strings":["IGN/MATIS lab., Universit\u00e9 Paris Est, Saint-Maud\u00e9, France","IGN/ENSG/DIAS, Universit\u00e9 Paris Est, Marne la Vall\u00e9e, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IGN/MATIS lab., Universit\u00e9 Paris Est, Saint-Maud\u00e9, France","institution_ids":["https://openalex.org/I2800365227"]},{"raw_affiliation_string":"IGN/ENSG/DIAS, Universit\u00e9 Paris Est, Marne la Vall\u00e9e, France","institution_ids":["https://openalex.org/I204730241"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047333951","display_name":"Gr\u00e9goire Mercier","orcid":"https://orcid.org/0000-0001-5531-4515"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I161929037","display_name":"Universit\u00e9 de Bretagne Occidentale","ror":"https://ror.org/01b8h3982","country_code":"FR","type":"education","lineage":["https://openalex.org/I161929037"]},{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]},{"id":"https://openalex.org/I4210123702","display_name":"Laboratoire des Sciences et Techniques de l\u2019Information de la Communication et de la Connaissance","ror":"https://ror.org/0266kfd37","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I180375564","https://openalex.org/I201181511","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I4210123702","https://openalex.org/I4210127572","https://openalex.org/I4210145102","https://openalex.org/I4210148559","https://openalex.org/I4210159245","https://openalex.org/I4405260085"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gregoire Mercier","raw_affiliation_strings":["CNRS, Institut Mines-Telecom / Telecom Bretagne, Brest, France","Institut Mines-Telecom/Telecom Bretagne, CNRS UMR 6285 Lab-STICC, team CID, Brest, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Institut Mines-Telecom / Telecom Bretagne, Brest, France","institution_ids":["https://openalex.org/I205703379","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Institut Mines-Telecom/Telecom Bretagne, CNRS UMR 6285 Lab-STICC, team CID, Brest, France","institution_ids":["https://openalex.org/I205703379","https://openalex.org/I1294671590","https://openalex.org/I161929037","https://openalex.org/I4210123702"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044874953","display_name":"Jean-Paul Rudant","orcid":"https://orcid.org/0000-0003-2870-327X"},"institutions":[{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4387155313","display_name":"Laboratoire d'\u00e9lectronique, syst\u00e8mes de communication et microsyst\u00e8mes","ror":"https://ror.org/01m83bk32","country_code":null,"type":"facility","lineage":["https://openalex.org/I124158823","https://openalex.org/I1294671590","https://openalex.org/I4210134562","https://openalex.org/I4210154111","https://openalex.org/I4210156868","https://openalex.org/I4387155313"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Paul Rudant","raw_affiliation_strings":["Labo.ESYCOM, Universit\u00e9 Paris Est, Marne la Vall\u00e9e, France","Labo. ESYCOM, Universit\u00e9 Paris Est, Marne la Vall\u00e9e, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Labo.ESYCOM, Universit\u00e9 Paris Est, Marne la Vall\u00e9e, France","institution_ids":["https://openalex.org/I4387155313"]},{"raw_affiliation_string":"Labo. ESYCOM, Universit\u00e9 Paris Est, Marne la Vall\u00e9e, France","institution_ids":["https://openalex.org/I4387155313","https://openalex.org/I204730241"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.2068,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.98317008,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"i 7","issue":null,"first_page":"2790","last_page":"2793"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/polarimetry","display_name":"Polarimetry","score":0.8067337274551392},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.6647184491157532},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.6229578256607056},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6170421838760376},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.5858021974563599},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5575641989707947},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4912204146385193},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.48973751068115234},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47133636474609375},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4679466784000397},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40861159563064575},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35850703716278076},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.347578227519989},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.34284287691116333},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25771671533584595},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.19360020756721497},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17706480622291565},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08997797966003418},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08486822247505188}],"concepts":[{"id":"https://openalex.org/C28493345","wikidata":"https://www.wikidata.org/wiki/Q899381","display_name":"Polarimetry","level":3,"score":0.8067337274551392},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.6647184491157532},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6229578256607056},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6170421838760376},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.5858021974563599},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5575641989707947},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4912204146385193},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.48973751068115234},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47133636474609375},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4679466784000397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40861159563064575},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35850703716278076},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.347578227519989},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.34284287691116333},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25771671533584595},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.19360020756721497},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17706480622291565},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08997797966003418},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08486822247505188},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss.2014.6947055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6947055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-02387155v1","is_oa":false,"landing_page_url":"https://hal.science/hal-02387155","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IGARSS 2014 - 2014 IEEE International Geoscience and Remote Sensing Symposium, Jul 2014, Quebec City, Canada. pp.2790-2793, &#x27E8;10.1109/IGARSS.2014.6947055&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1996222064","https://openalex.org/W2078985447","https://openalex.org/W2133989913","https://openalex.org/W4243529460"],"related_works":["https://openalex.org/W2026860918","https://openalex.org/W2035593284","https://openalex.org/W2612145225","https://openalex.org/W2225281849","https://openalex.org/W2161058488","https://openalex.org/W2324949438","https://openalex.org/W173514170","https://openalex.org/W2886934452","https://openalex.org/W1489099099","https://openalex.org/W2024369332"],"abstract_inverted_index":{"A":[0],"new":[1],"method":[2],"for":[3,59],"unmixing":[4,51],"radar":[5],"polarimetric":[6,18,54],"images":[7,10],"with":[8],"optical":[9],"is":[11,33],"proposed.":[12],"It":[13],"was":[14],"found":[15],"that":[16,49],"the":[17,53],"covariance":[19,38],"matrix":[20],"can":[21],"be":[22],"unmixed":[23,37],"considering":[24],"a":[25,29],"linear":[26],"model.":[27],"As":[28],"result,":[30],"this":[31,50],"model":[32],"used":[34],"to":[35,47],"produce":[36,56],"matrices":[39],"based":[40],"on":[41],"land":[42,60],"cover":[43,61],"types.":[44],"We":[45],"hope":[46],"prove":[48],"of":[52],"information":[55,58],"greater":[57],"classification.":[62]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
