{"id":"https://openalex.org/W2059644815","doi":"https://doi.org/10.1109/jstars.2014.2387374","title":"A New Method for Land Cover Characterization and Classification of Polarimetric SAR Data Using Polarimetric Signatures","display_name":"A New Method for Land Cover Characterization and Classification of Polarimetric SAR Data Using Polarimetric Signatures","publication_year":2015,"publication_date":"2015-01-23","ids":{"openalex":"https://openalex.org/W2059644815","doi":"https://doi.org/10.1109/jstars.2014.2387374","mag":"2059644815"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2014.2387374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2014.2387374","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5061500182","display_name":"Mohsen A. Jafari","orcid":"https://orcid.org/0000-0001-8345-083X"},"institutions":[{"id":"https://openalex.org/I80543232","display_name":"K.N.Toosi University of Technology","ror":"https://ror.org/0433abe34","country_code":"IR","type":"education","lineage":["https://openalex.org/I80543232"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohsen Jafari","raw_affiliation_strings":["Department of Geomatics Engineering, K. N. Toosi University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geomatics Engineering, K. N. Toosi University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I80543232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004825074","display_name":"Yasser Maghsoudi","orcid":"https://orcid.org/0000-0003-2731-9057"},"institutions":[{"id":"https://openalex.org/I80543232","display_name":"K.N.Toosi University of Technology","ror":"https://ror.org/0433abe34","country_code":"IR","type":"education","lineage":["https://openalex.org/I80543232"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Yasser Maghsoudi","raw_affiliation_strings":["Department of Geomatics Engineering, K. N. Toosi University of Technology, Tehran, Iran"],"raw_orcid":"https://orcid.org/0000-0003-2731-9057","affiliations":[{"raw_affiliation_string":"Department of Geomatics Engineering, K. N. Toosi University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I80543232"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058741879","display_name":"Mohammad Javad Valadan Zoej","orcid":"https://orcid.org/0000-0003-4325-8741"},"institutions":[{"id":"https://openalex.org/I80543232","display_name":"K.N.Toosi University of Technology","ror":"https://ror.org/0433abe34","country_code":"IR","type":"education","lineage":["https://openalex.org/I80543232"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Javad Valadan Zoej","raw_affiliation_strings":["Department of Geomatics Engineering, K. N. Toosi University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geomatics Engineering, K. N. Toosi University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I80543232"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":173.35,"has_fulltext":false,"cited_by_count":76,"citation_normalized_percentile":{"value":0.99926432,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"8","issue":"7","first_page":"3595","last_page":"3607"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9836000204086304,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9643999934196472,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/polarimetry","display_name":"Polarimetry","score":0.8736889958381653},{"id":"https://openalex.org/keywords/wishart-distribution","display_name":"Wishart distribution","score":0.7613364458084106},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.6779739260673523},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6703042387962341},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5507652163505554},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5382089614868164},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5103947520256042},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.4962788224220276},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.487856388092041},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3305940330028534},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.28699052333831787},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.22998464107513428},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13538837432861328},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12977591156959534},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.11898872256278992},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10315966606140137},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09281730651855469}],"concepts":[{"id":"https://openalex.org/C28493345","wikidata":"https://www.wikidata.org/wiki/Q899381","display_name":"Polarimetry","level":3,"score":0.8736889958381653},{"id":"https://openalex.org/C33962027","wikidata":"https://www.wikidata.org/wiki/Q1930697","display_name":"Wishart distribution","level":3,"score":0.7613364458084106},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.6779739260673523},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6703042387962341},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5507652163505554},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5382089614868164},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5103947520256042},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.4962788224220276},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.487856388092041},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3305940330028534},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.28699052333831787},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.22998464107513428},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13538837432861328},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12977591156959534},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.11898872256278992},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10315966606140137},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09281730651855469},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2014.2387374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2014.2387374","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.699999988079071,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320337","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53"},{"id":"https://openalex.org/F4320334436","display_name":"Canadian Space Agency","ror":"https://ror.org/03a1gte98"},{"id":"https://openalex.org/F4320338140","display_name":"Canadian Forest Service","ror":"https://ror.org/0430zw506"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1421632428","https://openalex.org/W1531144240","https://openalex.org/W1633601276","https://openalex.org/W1969674753","https://openalex.org/W1969717058","https://openalex.org/W1981539283","https://openalex.org/W1984295062","https://openalex.org/W1985194020","https://openalex.org/W2010364553","https://openalex.org/W2011171756","https://openalex.org/W2019233916","https://openalex.org/W2037402401","https://openalex.org/W2044008728","https://openalex.org/W2044769733","https://openalex.org/W2044781968","https://openalex.org/W2046346658","https://openalex.org/W2051986600","https://openalex.org/W2053996678","https://openalex.org/W2070753431","https://openalex.org/W2078985447","https://openalex.org/W2089256130","https://openalex.org/W2093628091","https://openalex.org/W2097272115","https://openalex.org/W2099614632","https://openalex.org/W2102417011","https://openalex.org/W2105923215","https://openalex.org/W2121413408","https://openalex.org/W2121517407","https://openalex.org/W2126921595","https://openalex.org/W2132012856","https://openalex.org/W2133989913","https://openalex.org/W2136790471","https://openalex.org/W2137917662","https://openalex.org/W2146057518","https://openalex.org/W2150059023","https://openalex.org/W2151518056","https://openalex.org/W2156161232","https://openalex.org/W2164989713","https://openalex.org/W4237764598","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2146312983","https://openalex.org/W2065601395","https://openalex.org/W2123581770","https://openalex.org/W3134381438","https://openalex.org/W2057690963","https://openalex.org/W2118598748","https://openalex.org/W2011956837","https://openalex.org/W2108933226","https://openalex.org/W2553651735","https://openalex.org/W2043913960"],"abstract_inverted_index":{"Conventional":[0],"methods":[1],"for":[2,78,82,161,216],"analyzing":[3],"polarimetric":[4,15,43,80,106,137,208,225],"synthetic":[5],"aperture":[6],"RADAR":[7],"(PolSAR)":[8],"data":[9,87],"such":[10],"as":[11,243],"scattering":[12],"matrix":[13],"show":[14],"information":[16,31,64],"just":[17],"in":[18,68,85,93,143,152],"a":[19,50,75],"restricted":[20],"number":[21],"of":[22,27,35,53,62,117,131,139,155,210,238,250],"polarization":[23,70,91],"bases,":[24],"whereas":[25],"backscattering":[26,67,165],"the":[28,54,90,94,109,115,144,156,200,207,217,224,229,235,239,244,251,258],"targets":[29,219],"has":[30],"on":[32],"wide":[33],"range":[34],"polarizations.":[36],"In":[37],"order":[38],"to":[39,48,135],"solve":[40],"this":[41,118,132,162],"problem,":[42],"signatures":[44,58,81,107,138,209],"have":[45,49],"been":[46],"investigated":[47],"better":[51,256],"illustration":[52],"target":[55,66],"responses.":[56],"Polarimetric":[57],"depict":[59],"more":[60],"details":[61],"physical":[63],"from":[65,166,223],"various":[69,98,140,218],"bases.":[71],"This":[72],"paper":[73],"presents":[74],"new":[76,214],"method":[77,133,253],"generating":[79],"different":[83,167,222],"features":[84,142,212],"PolSAR":[86,141,211],"by":[88,199],"changing":[89],"basis":[92,116],"covariance":[95],"matrix.":[96],"Furthermore,":[97],"land":[99,145,171],"cover":[100,146,172],"classes":[101],"were":[102],"evaluated":[103],"using":[104],"their":[105],"and":[108,122,192],"pattern":[110],"recognition":[111],"matching":[112],"methods.":[113],"On":[114],"background,":[119],"an":[120],"object-oriented":[121],"knowledge-based":[123],"classification":[124,231,242],"algorithm":[125],"is":[126,134,254],"proposed.":[127],"The":[128,164,203,247],"main":[129],"idea":[130],"apply":[136],"classification.":[147,261],"A":[148],"Radarsat-2":[149],"image,":[150],"acquired":[151],"leaf-off":[153],"season":[154],"forest":[157],"areas,":[158],"was":[159,197,232],"chosen":[160],"study.":[163],"classes,":[168],"including":[169],"six":[170],"classes:":[173],"1)":[174],"red":[175],"oak":[176],"(Or);":[177],"2)":[178],"white":[179],"pine":[180],"(Pw);":[181],"3)":[182],"black":[183],"spruce":[184],"(Sb);":[185],"4)":[186],"urban":[187],"(Ur);":[188],"5)":[189],"water":[190],"(Wa);":[191],"6)":[193],"ground":[194],"vegetation":[195],"(GV)":[196],"analyzed":[198],"proposed":[201,230,252],"method.":[202,246],"results":[204],"reported":[205],"that":[206],"introduce":[213],"concepts":[215],"which":[220],"are":[221],"power":[226],"signatures.":[227],"Also,":[228],"compared":[233],"with":[234],"object-based":[236],"form":[237],"supervised":[240,259],"Wishart":[241,260],"baseline":[245],"mean":[248],"accuracy":[249],"6%":[255],"than":[257]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":14},{"year":2016,"cited_by_count":9}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}