{"id":"https://openalex.org/W2089256130","doi":"https://doi.org/10.1109/jstars.2013.2259219","title":"Radarsat-2 Polarimetric SAR Data for Boreal Forest Classification Using SVM and a Wrapper Feature Selector","display_name":"Radarsat-2 Polarimetric SAR Data for Boreal Forest Classification Using SVM and a Wrapper Feature Selector","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2089256130","doi":"https://doi.org/10.1109/jstars.2013.2259219","mag":"2089256130"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2013.2259219","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2013.2259219","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/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 and Geodesy, K. N. Toosi University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geomatics and Geodesy, K. N. Toosi University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I80543232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079061237","display_name":"Michael Collins","orcid":"https://orcid.org/0000-0003-0997-1527"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Michael J. Collins","raw_affiliation_strings":["Department of Geomatics, University of Calgary, Calgary, Canada","Department of Geomatics, University of Calgary, Calgary, AB, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geomatics, University of Calgary, Calgary, Canada","institution_ids":["https://openalex.org/I168635309"]},{"raw_affiliation_string":"Department of Geomatics, University of Calgary, Calgary, AB, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072249733","display_name":"Donald G. Leckie","orcid":"https://orcid.org/0000-0002-3377-8578"},"institutions":[{"id":"https://openalex.org/I1280367701","display_name":"Canadian Forest Service","ror":"https://ror.org/0430zw506","country_code":"CA","type":"government","lineage":["https://openalex.org/I1280367701","https://openalex.org/I1281735042","https://openalex.org/I2802286613"]},{"id":"https://openalex.org/I1281735042","display_name":"Natural Resources Canada","ror":"https://ror.org/05hepy730","country_code":"CA","type":"government","lineage":["https://openalex.org/I1281735042","https://openalex.org/I2802286613"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Donald G. Leckie","raw_affiliation_strings":["Natural Resource Canada, Canadian Forest Service, Victoria, BC, Canada","Canadian Forest Service, Natural Resource Canada, Victoria, BC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Natural Resource Canada, Canadian Forest Service, Victoria, BC, Canada","institution_ids":["https://openalex.org/I1280367701","https://openalex.org/I1281735042"]},{"raw_affiliation_string":"Canadian Forest Service, Natural Resource Canada, Victoria, BC, Canada","institution_ids":["https://openalex.org/I1280367701"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":118.9518,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.99853834,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"6","issue":"3","first_page":"1531","last_page":"1538"},"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/T10535","display_name":"Landslides and related hazards","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9952999949455261,"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/support-vector-machine","display_name":"Support vector machine","score":0.8536820411682129},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6778600215911865},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.670790433883667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.62856525182724},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6285548210144043},{"id":"https://openalex.org/keywords/polarimetry","display_name":"Polarimetry","score":0.5646335482597351},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4976637661457062},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.48405665159225464},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4780307710170746},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.46122413873672485},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.45054587721824646},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15065181255340576},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08096808195114136}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8536820411682129},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6778600215911865},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.670790433883667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.62856525182724},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6285548210144043},{"id":"https://openalex.org/C28493345","wikidata":"https://www.wikidata.org/wiki/Q899381","display_name":"Polarimetry","level":3,"score":0.5646335482597351},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4976637661457062},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.48405665159225464},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4780307710170746},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.46122413873672485},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.45054587721824646},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15065181255340576},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08096808195114136},{"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/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2013.2259219","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2013.2259219","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":[{"score":0.75,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1484290300","https://openalex.org/W1486089539","https://openalex.org/W1515450954","https://openalex.org/W1579744964","https://openalex.org/W1621799579","https://openalex.org/W1705336121","https://openalex.org/W1977438473","https://openalex.org/W1992526402","https://openalex.org/W2005509492","https://openalex.org/W2008826820","https://openalex.org/W2010364553","https://openalex.org/W2011171756","https://openalex.org/W2014915963","https://openalex.org/W2033515137","https://openalex.org/W2041241239","https://openalex.org/W2078985447","https://openalex.org/W2084413241","https://openalex.org/W2105923215","https://openalex.org/W2109986819","https://openalex.org/W2119757904","https://openalex.org/W2121413408","https://openalex.org/W2133989913","https://openalex.org/W2136420149","https://openalex.org/W2136991772","https://openalex.org/W2137917662","https://openalex.org/W2148661943","https://openalex.org/W2153124553","https://openalex.org/W2157190206","https://openalex.org/W2158585854","https://openalex.org/W2164296623","https://openalex.org/W2170612061","https://openalex.org/W2793613633","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4388745254","https://openalex.org/W2889302474","https://openalex.org/W2980082554","https://openalex.org/W1517228774","https://openalex.org/W2767419625","https://openalex.org/W2389704471","https://openalex.org/W2117019857","https://openalex.org/W2005234362","https://openalex.org/W2162970382","https://openalex.org/W1997235926"],"abstract_inverted_index":{"The":[0,24,37,48,119],"main":[1],"objective":[2],"is":[3,26,43,59,81],"to":[4,123],"propose":[5],"a":[6,69],"wrapper":[7,133],"feature":[8,32,57],"selection":[9,33,58],"algorithm":[10,42],"for":[11,18,56,98,135],"analyzing":[12],"the":[13,19,29,46,53,65,76,124,128,131],"Radarsat-2":[14,86],"polarimetric":[15],"SAR":[16,105],"data":[17],"classification":[20,120],"of":[21,31,50,78,104,130],"boreal":[22],"forest.":[23],"method":[25],"based":[27,74],"on":[28,75],"concept":[30],"and":[34,93],"classifier":[35],"ensemble.":[36],"support":[38,79],"vector":[39],"machine":[40],"(SVM)":[41],"used":[44],"as":[45,52],"classifier.":[47],"limitation":[49],"SVM":[51,66],"evaluation":[54],"function":[55],"its":[60],"time-consuming":[61],"optimization.":[62],"To":[63],"accelerate":[64],"training":[67,70],"process,":[68],"sample":[71],"reduction":[72],"strategy":[73],"notion":[77],"vectors":[80],"proposed.":[82],"Two":[83],"fine":[84],"quad-polarized":[85],"images,":[87],"which":[88],"were":[89,96,107],"acquired":[90],"in":[91],"leaf-on":[92],"leaf-off":[94],"seasons,":[95],"chosen":[97],"this":[99],"study.":[100],"A":[101,113],"wide":[102],"range":[103],"parameters":[106],"derived":[108],"from":[109],"each":[110],"PolSAR":[111],"image.":[112],"combined":[114],"dataset":[115],"was":[116],"also":[117],"considered.":[118],"results":[121],"compared":[122],"baseline":[125],"methods":[126],"demonstrate":[127],"effectiveness":[129],"proposed":[132],"scheme":[134],"forest":[136],"classification.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
