{"id":"https://openalex.org/W2905190061","doi":"https://doi.org/10.1109/jstars.2018.2879440","title":"Complex Scene Classification of PoLSAR Imagery Based on a Self-Paced Learning Approach","display_name":"Complex Scene Classification of PoLSAR Imagery Based on a Self-Paced Learning Approach","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2905190061","doi":"https://doi.org/10.1109/jstars.2018.2879440","mag":"2905190061"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2018.2879440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2018.2879440","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":["arxiv","crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1903.07243","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073583396","display_name":"Wenshuai Chen","orcid":"https://orcid.org/0000-0003-4428-1505"},"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":"Wenshuai Chen","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017247607","display_name":"Shuiping Gou","orcid":"https://orcid.org/0000-0002-2619-6481"},"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":"Shuiping Gou","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-2619-6481","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101903875","display_name":"Xinlin Wang","orcid":"https://orcid.org/0000-0003-1224-4611"},"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":"Xinlin Wang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, School of Artificial Intelligence, 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, Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040622906","display_name":"Changzhe Jiao","orcid":"https://orcid.org/0000-0002-1392-8348"},"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":"Changzhe Jiao","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-1392-8348","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079676776","display_name":"Alina Zare","orcid":"https://orcid.org/0000-0002-4847-7604"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alina Zare","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA"],"raw_orcid":"https://orcid.org/0000-0002-4847-7604","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":4.1198,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.96066179,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"11","issue":"12","first_page":"4818","last_page":"4825"},"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":0.9995999932289124,"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":0.9995999932289124,"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":0.9948999881744385,"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":0.9858999848365784,"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/computer-science","display_name":"Computer science","score":0.7424516081809998},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6120288968086243},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42836207151412964},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4239356517791748},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40679916739463806},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3266793191432953},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18489983677864075},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13238391280174255}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7424516081809998},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6120288968086243},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42836207151412964},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4239356517791748},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40679916739463806},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3266793191432953},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18489983677864075},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13238391280174255}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2018.2879440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2018.2879440","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"},{"id":"pmh:oai:arXiv.org:1903.07243","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1903.07243","pdf_url":"https://arxiv.org/pdf/1903.07243","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1903.07243","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1903.07243","pdf_url":"https://arxiv.org/pdf/1903.07243","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.49000000953674316,"display_name":"Life in Land"},{"id":"https://metadata.un.org/sdg/11","score":0.4099999964237213,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G2559168354","display_name":null,"funder_award_id":"91438201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5736573164","display_name":null,"funder_award_id":"61472306","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6679138172","display_name":null,"funder_award_id":"61572383","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8631484945","display_name":null,"funder_award_id":"61806157","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1974095883","https://openalex.org/W1985194020","https://openalex.org/W1987645143","https://openalex.org/W1991268013","https://openalex.org/W1992824785","https://openalex.org/W1995137594","https://openalex.org/W1996061706","https://openalex.org/W1997697154","https://openalex.org/W2005232609","https://openalex.org/W2008307302","https://openalex.org/W2015419866","https://openalex.org/W2045724293","https://openalex.org/W2052190325","https://openalex.org/W2097272115","https://openalex.org/W2112130876","https://openalex.org/W2132012856","https://openalex.org/W2132984949","https://openalex.org/W2133989913","https://openalex.org/W2134999830","https://openalex.org/W2144824668","https://openalex.org/W2156689847","https://openalex.org/W2164296623","https://openalex.org/W2166493072","https://openalex.org/W2172612767","https://openalex.org/W2185898173","https://openalex.org/W2313573380","https://openalex.org/W2345055757","https://openalex.org/W2370317051","https://openalex.org/W2559324447","https://openalex.org/W2610921225","https://openalex.org/W2738554810","https://openalex.org/W3023911918","https://openalex.org/W6679390333","https://openalex.org/W6684232753","https://openalex.org/W6685365618","https://openalex.org/W6686065207"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Existing":[0],"polarimetric":[1],"synthetic":[2],"aperture":[3],"radar":[4],"(PolSAR)":[5],"image":[6],"classification":[7,41],"methods":[8],"cannot":[9],"achieve":[10],"satisfactory":[11],"performance":[12,68],"on":[13,49,81,131,143],"complex":[14,63,105,144],"scenes":[15],"characterized":[16],"by":[17],"several":[18],"types":[19],"of":[20,26],"land":[21,33],"cover":[22,34],"with":[23,62,83],"significant":[24],"levels":[25],"noise":[27],"or":[28],"similar":[29],"scattering":[30],"properties":[31],"across":[32],"types.":[35],"Hence,":[36],"we":[37],"propose":[38],"a":[39,46,73],"supervised":[40],"method":[42,91,140],"aimed":[43],"at":[44,60],"constructing":[45],"classifier":[47,67],"based":[48,80],"self-paced":[50],"learning":[51],"(SPL).":[52],"SPL":[53,82],"has":[54],"been":[55],"demonstrated":[56],"to":[57,97,110,125],"be":[58],"effective":[59],"dealing":[61],"data":[64],"while":[65],"providing":[66],"improvement.":[69],"In":[70],"this":[71],"paper,":[72],"novel":[74],"support":[75],"vector":[76,114],"machine":[77],"(SVM)":[78],"algorithm":[79],"neighborhood":[84,117],"constraints":[85,118],"(SVM_SPLNC)":[86],"is":[87],"proposed.":[88],"The":[89],"proposed":[90,139],"leverages":[92],"the":[93,112,122,138],"easiest":[94],"samples":[95,106],"first":[96],"obtain":[98],"an":[99],"initial":[100],"parameter":[101,113],"vector.":[102],"Then,":[103],"more":[104],"are":[107,119],"gradually":[108],"incorporated":[109],"update":[111],"iteratively.":[115],"Moreover,":[116],"introduced":[120],"during":[121],"training":[123],"process":[124],"further":[126],"improve":[127],"performance.":[128],"Experimental":[129],"results":[130],"three":[132],"real":[133],"PolSAR":[134],"images":[135],"show":[136],"that":[137],"performs":[141],"well":[142],"scenes.":[145]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
