{"id":"https://openalex.org/W2248623186","doi":"https://doi.org/10.1109/tgrs.2015.2469691","title":"Classification of Polarimetric SAR Images Based on Modeling Contextual Information and Using Texture Features","display_name":"Classification of Polarimetric SAR Images Based on Modeling Contextual Information and Using Texture Features","publication_year":2015,"publication_date":"2015-09-02","ids":{"openalex":"https://openalex.org/W2248623186","doi":"https://doi.org/10.1109/tgrs.2015.2469691","mag":"2248623186"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2015.2469691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2015.2469691","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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/A5001394107","display_name":"Ali Masjedi","orcid":"https://orcid.org/0000-0003-3214-4132"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ali Masjedi","raw_affiliation_strings":["Faculty of Geodesy and Geomatics Engineering, K.N. Tossi University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Geodesy and Geomatics Engineering, K.N. Tossi University of Technology, Tehran, Iran","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058741879","display_name":"Mohammad Javad Valadan Zoej","orcid":"https://orcid.org/0000-0003-4325-8741"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammad Javad Valadan Zoej","raw_affiliation_strings":["Faculty of Geodesy and Geomatics Engineering, K.N. Tossi University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Geodesy and Geomatics Engineering, K.N. Tossi University of Technology, Tehran, Iran","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004825074","display_name":"Yasser Maghsoudi","orcid":"https://orcid.org/0000-0003-2731-9057"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yasser Maghsoudi","raw_affiliation_strings":["Faculty of Geodesy and Geomatics Engineering, K.N. Tossi University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Geodesy and Geomatics Engineering, K.N. Tossi University of Technology, Tehran, Iran","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":205.4518,"has_fulltext":false,"cited_by_count":110,"citation_normalized_percentile":{"value":0.99952685,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"54","issue":"2","first_page":"932","last_page":"943"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9977999925613403,"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/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9965999722480774,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7529473900794983},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7440885305404663},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.7402276992797852},{"id":"https://openalex.org/keywords/wishart-distribution","display_name":"Wishart distribution","score":0.7220636606216431},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7145659923553467},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6077507138252258},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5649455189704895},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.49495381116867065},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.47385314106941223},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4627276659011841},{"id":"https://openalex.org/keywords/polarimetry","display_name":"Polarimetry","score":0.432728111743927},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.34336626529693604},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.24998241662979126},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23995688557624817},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12910190224647522},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12523534893989563},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.08811995387077332}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7529473900794983},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7440885305404663},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.7402276992797852},{"id":"https://openalex.org/C33962027","wikidata":"https://www.wikidata.org/wiki/Q1930697","display_name":"Wishart distribution","level":3,"score":0.7220636606216431},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7145659923553467},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6077507138252258},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5649455189704895},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.49495381116867065},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.47385314106941223},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4627276659011841},{"id":"https://openalex.org/C28493345","wikidata":"https://www.wikidata.org/wiki/Q899381","display_name":"Polarimetry","level":3,"score":0.432728111743927},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.34336626529693604},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.24998241662979126},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23995688557624817},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12910190224647522},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12523534893989563},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.08811995387077332},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2015.2469691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2015.2469691","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[{"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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":88,"referenced_works":["https://openalex.org/W1484290300","https://openalex.org/W1492417579","https://openalex.org/W1496227086","https://openalex.org/W1499486838","https://openalex.org/W1515580926","https://openalex.org/W1560724230","https://openalex.org/W1579744964","https://openalex.org/W1969674753","https://openalex.org/W1979603609","https://openalex.org/W1979730959","https://openalex.org/W1985194020","https://openalex.org/W1985470195","https://openalex.org/W1991111993","https://openalex.org/W1999579516","https://openalex.org/W2004338242","https://openalex.org/W2007388861","https://openalex.org/W2008997808","https://openalex.org/W2010344121","https://openalex.org/W2010364553","https://openalex.org/W2011171756","https://openalex.org/W2014327494","https://openalex.org/W2017913446","https://openalex.org/W2033903783","https://openalex.org/W2043665634","https://openalex.org/W2044465660","https://openalex.org/W2046404979","https://openalex.org/W2046833515","https://openalex.org/W2050755221","https://openalex.org/W2053786220","https://openalex.org/W2056014922","https://openalex.org/W2062964394","https://openalex.org/W2064604707","https://openalex.org/W2073842936","https://openalex.org/W2074866567","https://openalex.org/W2076263611","https://openalex.org/W2076364662","https://openalex.org/W2078985447","https://openalex.org/W2087347434","https://openalex.org/W2089256130","https://openalex.org/W2093799708","https://openalex.org/W2097272115","https://openalex.org/W2097419478","https://openalex.org/W2100562977","https://openalex.org/W2100860054","https://openalex.org/W2102150301","https://openalex.org/W2104529636","https://openalex.org/W2110577485","https://openalex.org/W2111787810","https://openalex.org/W2113513024","https://openalex.org/W2116019572","https://openalex.org/W2116520955","https://openalex.org/W2119757904","https://openalex.org/W2119897980","https://openalex.org/W2121413408","https://openalex.org/W2128550824","https://openalex.org/W2129652905","https://openalex.org/W2131697388","https://openalex.org/W2131864940","https://openalex.org/W2132012856","https://openalex.org/W2133989913","https://openalex.org/W2136020427","https://openalex.org/W2136420149","https://openalex.org/W2136991772","https://openalex.org/W2137917662","https://openalex.org/W2140996489","https://openalex.org/W2141424348","https://openalex.org/W2144554203","https://openalex.org/W2145649962","https://openalex.org/W2145882662","https://openalex.org/W2146618204","https://openalex.org/W2146952738","https://openalex.org/W2151983721","https://openalex.org/W2153124553","https://openalex.org/W2153409933","https://openalex.org/W2155985040","https://openalex.org/W2164296623","https://openalex.org/W2164330327","https://openalex.org/W2172000360","https://openalex.org/W2519627623","https://openalex.org/W2990267880","https://openalex.org/W3144619878","https://openalex.org/W4213262319","https://openalex.org/W4285719527","https://openalex.org/W4320339642","https://openalex.org/W6628852233","https://openalex.org/W6630941612","https://openalex.org/W6676520809","https://openalex.org/W6770338318"],"related_works":["https://openalex.org/W2065601395","https://openalex.org/W2123581770","https://openalex.org/W2367664415","https://openalex.org/W2162727965","https://openalex.org/W2360970669","https://openalex.org/W3110699678","https://openalex.org/W2144554203","https://openalex.org/W4226095855","https://openalex.org/W2984773145","https://openalex.org/W2369349662"],"abstract_inverted_index":{"This":[0,33],"paper":[1],"proposes":[2],"a":[3,40,77,128,158],"novel":[4],"contextual":[5,78,95],"method":[6,16,34],"for":[7],"classification":[8,174],"of":[9,39,48,86,142,189],"polarimetric":[10,116,191],"synthetic":[11],"aperture":[12],"radar":[13],"data.":[14],"The":[15],"combines":[17],"support":[18],"vector":[19],"machine":[20],"(SVM)":[21],"and":[22,30,104,122,151,162],"Wishart":[23,52],"classifiers":[24,156],"to":[25,62,81,107],"benefit":[26],"from":[27,101,127],"both":[28],"parametric":[29],"nonparametric":[31],"methods.":[32],"computes":[35],"the":[36,46,49,57,63,67,71,83,94,108,120,143,147,179,187],"energy":[37,59],"function":[38,61],"Markov":[41],"random":[42],"field":[43],"(MRF)":[44],"in":[45,119,139,165,178,182],"neighborhoods":[47],"pixel":[50],"using":[51,76,136],"distribution.":[53],"It":[54],"then":[55],"relates":[56],"Markovian":[58],"difference":[60],"SVM":[64,109,152],"classifier.":[65,79,110],"Therefore,":[66],"salt-and-pepper":[68],"effect":[69],"on":[70],"classified":[72],"map":[73],"is":[74,134],"reduced":[75],"Moreover,":[80,169],"achieve":[82],"full":[84],"advantage":[85],"spatial":[87],"information,":[88],"texture":[89,171],"features":[90,98,172],"are":[91,99,105,125],"added":[92,106],"into":[93,173],"classification.":[96],"Texture":[97],"extracted":[100],"SPAN":[102],"images":[103,117],"In":[111],"this":[112],"paper,":[113],"two":[114],"Radarsat-2":[115],"acquired":[118],"leaf-off":[121],"leaf-on":[123],"seasons":[124],"used":[126],"forest":[129,183],"area.":[130],"Efficient":[131],"multitemporal":[132],"information":[133],"exploited":[135],"composite":[137,154],"kernels":[138],"SVM.":[140],"Comparison":[141],"proposed":[144],"algorithm":[145],"with":[146,153,186],"Wishart,":[148],"Wishart-MRF,":[149],"SVM,":[150],"kernel":[155],"shows":[157],"21.72%,":[159],"16.17%,":[160],"11.29%,":[161],"8.19%":[163],"improvement":[164],"overall":[166],"accuracy,":[167],"respectively.":[168],"incorporating":[170],"results":[175],"significant":[176],"increase":[177],"average":[180],"accuracy":[181],"species":[184],"compared":[185],"use":[188],"only":[190],"features.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":18},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":17},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
