{"id":"https://openalex.org/W2167309519","doi":"https://doi.org/10.1109/lgrs.2014.2360421","title":"A Three-Component Fisher-Based Feature Weighting Method for Supervised PolSAR Image Classification","display_name":"A Three-Component Fisher-Based Feature Weighting Method for Supervised PolSAR Image Classification","publication_year":2014,"publication_date":"2014-10-08","ids":{"openalex":"https://openalex.org/W2167309519","doi":"https://doi.org/10.1109/lgrs.2014.2360421","mag":"2167309519"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2014.2360421","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2014.2360421","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"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 Geoscience and Remote Sensing Letters","raw_type":"journal-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/A5100427253","display_name":"Bo Chen","orcid":"https://orcid.org/0000-0001-5151-9388"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Chen","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065660222","display_name":"Shuang Wang","orcid":"https://orcid.org/0000-0003-4940-1211"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Wang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":"https://orcid.org/0000-0003-3354-9617"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Jiao","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005183926","display_name":"Rustam Stolkin","orcid":"https://orcid.org/0000-0002-0890-8836"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rustam Stolkin","raw_affiliation_strings":["School of Mechanical Engineering, University of Birmingham, Birmingham, U.K"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, University of Birmingham, Birmingham, U.K","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100757725","display_name":"Hongying Liu","orcid":"https://orcid.org/0000-0002-8475-2749"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongying Liu","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100427253"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":12.147,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.98323643,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"12","issue":"4","first_page":"731","last_page":"735"},"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":0.9944000244140625,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7814332246780396},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7724491953849792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.700127124786377},{"id":"https://openalex.org/keywords/wishart-distribution","display_name":"Wishart distribution","score":0.6690720319747925},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6619247794151306},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6122686862945557},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5866109728813171},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5735312104225159},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5728455185890198},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5377147197723389},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4955700635910034},{"id":"https://openalex.org/keywords/linear-classifier","display_name":"Linear classifier","score":0.49043652415275574},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4855060577392578},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4141841232776642},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3260943293571472},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20505699515342712},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17610561847686768},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.09781953692436218},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06863769888877869}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7814332246780396},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7724491953849792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.700127124786377},{"id":"https://openalex.org/C33962027","wikidata":"https://www.wikidata.org/wiki/Q1930697","display_name":"Wishart distribution","level":3,"score":0.6690720319747925},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6619247794151306},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6122686862945557},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5866109728813171},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5735312104225159},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5728455185890198},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5377147197723389},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4955700635910034},{"id":"https://openalex.org/C139532973","wikidata":"https://www.wikidata.org/wiki/Q2679259","display_name":"Linear classifier","level":3,"score":0.49043652415275574},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4855060577392578},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4141841232776642},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3260943293571472},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20505699515342712},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17610561847686768},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.09781953692436218},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06863769888877869},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2014.2360421","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2014.2360421","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1413607938","display_name":null,"funder_award_id":"61173092","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1974024703","https://openalex.org/W1985194020","https://openalex.org/W2006000998","https://openalex.org/W2006224698","https://openalex.org/W2008826820","https://openalex.org/W2011171756","https://openalex.org/W2015419866","https://openalex.org/W2078985447","https://openalex.org/W2091079473","https://openalex.org/W2097272115","https://openalex.org/W2129038850","https://openalex.org/W2131035246","https://openalex.org/W2134999830","https://openalex.org/W2141424348","https://openalex.org/W2149992809","https://openalex.org/W2150059023","https://openalex.org/W2165731615","https://openalex.org/W2171357473","https://openalex.org/W2394346441","https://openalex.org/W2539421755","https://openalex.org/W3150212444"],"related_works":["https://openalex.org/W2371425310","https://openalex.org/W2353313924","https://openalex.org/W2998259334","https://openalex.org/W2239966463","https://openalex.org/W2408521075","https://openalex.org/W2641936149","https://openalex.org/W2903240209","https://openalex.org/W2155435857","https://openalex.org/W2029097651","https://openalex.org/W2183347758"],"abstract_inverted_index":{"This":[0],"letter":[1,37],"presents":[2],"a":[3,38,58,70],"feature":[4,16,41],"weighting":[5,17,42],"method":[6,43,53,126],"for":[7,20,60,86],"polarimetric":[8],"synthetic":[9],"aperture":[10],"radar":[11],"(PolSAR)":[12],"image":[13],"classification.":[14],"Appropriate":[15],"is":[18,54,127],"essential":[19],"obtaining":[21],"accurate":[22],"classifications":[23],"but":[24],"so":[25],"far":[26],"has":[27],"remained":[28],"an":[29],"open":[30],"research":[31],"problem.":[32],"We":[33],"propose":[34],"in":[35,92],"this":[36],"supervised":[39],"three-component":[40,71],"based":[44],"on":[45],"the":[46,87,98,103,107,118,124,141],"Fisher":[47,50],"linear":[48,51],"discriminant.":[49],"discriminant":[52],"used":[55,115],"to":[56,69,83,97,101,116],"calculate":[57],"coefficient":[59],"each":[61],"feature.":[62],"Then,":[63],"these":[64],"coefficients":[65],"are":[66,114],"modified":[67],"according":[68],"scattering":[72,81,89],"power":[73],"decomposition":[74,110],"model,":[75],"combining":[76],"both":[77],"physical":[78],"and":[79,95,111,134],"statistical":[80],"characteristics":[82],"adapt":[84],"them":[85],"particular":[88],"mechanisms":[90],"inherent":[91],"PolSAR":[93,119,138],"data":[94],"assigned":[96],"coherency":[99],"matrix":[100],"enhance":[102],"discriminating":[104],"ability":[105],"of":[106,123,140],"features.":[108],"Freeman":[109],"Wishart":[112],"classifier":[113],"classify":[117],"image.":[120],"The":[121],"effectiveness":[122],"proposed":[125],"demonstrated":[128],"by":[129],"experiments":[130],"NASA/JPL":[131],"AIRSAR":[132],"L-band":[133],"CSA":[135],"Radarsat-2":[136],"C-band":[137],"images":[139],"San":[142],"Francisco":[143],"area.":[144]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
