{"id":"https://openalex.org/W2945404336","doi":"https://doi.org/10.1109/lgrs.2019.2913999","title":"Incremental Wishart Broad Learning System for Fast PolSAR Image Classification","display_name":"Incremental Wishart Broad Learning System for Fast PolSAR Image Classification","publication_year":2019,"publication_date":"2019-05-14","ids":{"openalex":"https://openalex.org/W2945404336","doi":"https://doi.org/10.1109/lgrs.2019.2913999","mag":"2945404336"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2019.2913999","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2913999","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/A5089754208","display_name":"Jianchao Fan","orcid":"https://orcid.org/0000-0002-3121-9289"},"institutions":[{"id":"https://openalex.org/I4210114290","display_name":"China National Environmental Monitoring Center","ror":"https://ror.org/026drga03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I204710742","https://openalex.org/I4210114290"]},{"id":"https://openalex.org/I4387156115","display_name":"National Marine Environmental Monitoring Center","ror":"https://ror.org/03eg88604","country_code":null,"type":"facility","lineage":["https://openalex.org/I4387156115"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianchao Fan","raw_affiliation_strings":["Department of Ocean Remote Sensing, Key Laboratory of Sea-Area Management Technology, National Marine Environmental Monitoring Center, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-3121-9289","affiliations":[{"raw_affiliation_string":"Department of Ocean Remote Sensing, Key Laboratory of Sea-Area Management Technology, National Marine Environmental Monitoring Center, Dalian, China","institution_ids":["https://openalex.org/I4210114290","https://openalex.org/I4387156115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078061633","display_name":"Xiang Wang","orcid":"https://orcid.org/0000-0002-3208-2042"},"institutions":[{"id":"https://openalex.org/I4210114290","display_name":"China National Environmental Monitoring Center","ror":"https://ror.org/026drga03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I204710742","https://openalex.org/I4210114290"]},{"id":"https://openalex.org/I4387156115","display_name":"National Marine Environmental Monitoring Center","ror":"https://ror.org/03eg88604","country_code":null,"type":"facility","lineage":["https://openalex.org/I4387156115"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Wang","raw_affiliation_strings":["Department of Ocean Remote Sensing, Key Laboratory of Sea-Area Management Technology, National Marine Environmental Monitoring Center, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Ocean Remote Sensing, Key Laboratory of Sea-Area Management Technology, National Marine Environmental Monitoring Center, Dalian, China","institution_ids":["https://openalex.org/I4210114290","https://openalex.org/I4387156115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100406834","display_name":"Xinxin Wang","orcid":"https://orcid.org/0000-0002-3573-0279"},"institutions":[{"id":"https://openalex.org/I4210114290","display_name":"China National Environmental Monitoring Center","ror":"https://ror.org/026drga03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I204710742","https://openalex.org/I4210114290"]},{"id":"https://openalex.org/I4387156115","display_name":"National Marine Environmental Monitoring Center","ror":"https://ror.org/03eg88604","country_code":null,"type":"facility","lineage":["https://openalex.org/I4387156115"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinxin Wang","raw_affiliation_strings":["Department of Ocean Remote Sensing, Key Laboratory of Sea-Area Management Technology, National Marine Environmental Monitoring Center, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Ocean Remote Sensing, Key Laboratory of Sea-Area Management Technology, National Marine Environmental Monitoring Center, Dalian, China","institution_ids":["https://openalex.org/I4210114290","https://openalex.org/I4387156115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358000","display_name":"Jianhua Zhao","orcid":"https://orcid.org/0000-0001-7224-5419"},"institutions":[{"id":"https://openalex.org/I4210114290","display_name":"China National Environmental Monitoring Center","ror":"https://ror.org/026drga03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I204710742","https://openalex.org/I4210114290"]},{"id":"https://openalex.org/I4387156115","display_name":"National Marine Environmental Monitoring Center","ror":"https://ror.org/03eg88604","country_code":null,"type":"facility","lineage":["https://openalex.org/I4387156115"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Zhao","raw_affiliation_strings":["Department of Ocean Remote Sensing, Key Laboratory of Sea-Area Management Technology, National Marine Environmental Monitoring Center, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Ocean Remote Sensing, Key Laboratory of Sea-Area Management Technology, National Marine Environmental Monitoring Center, Dalian, China","institution_ids":["https://openalex.org/I4210114290","https://openalex.org/I4387156115"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031421232","display_name":"Xiaoxin Liu","orcid":"https://orcid.org/0000-0001-8297-6485"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoxin Liu","raw_affiliation_strings":["Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, USA","institution_ids":["https://openalex.org/I204465549"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8238,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.92587484,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"16","issue":"12","first_page":"1854","last_page":"1858"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9947999715805054,"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/wishart-distribution","display_name":"Wishart distribution","score":0.8864890336990356},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.763296365737915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7173099517822266},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5990140438079834},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5646077394485474},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5626919269561768},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5623422265052795},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.4841809570789337},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47224920988082886},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3675307035446167},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2997143566608429}],"concepts":[{"id":"https://openalex.org/C33962027","wikidata":"https://www.wikidata.org/wiki/Q1930697","display_name":"Wishart distribution","level":3,"score":0.8864890336990356},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.763296365737915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7173099517822266},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5990140438079834},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5646077394485474},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5626919269561768},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5623422265052795},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4841809570789337},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47224920988082886},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3675307035446167},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2997143566608429},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/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.2019.2913999","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2913999","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":[{"id":"https://metadata.un.org/sdg/9","score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G2297757143","display_name":null,"funder_award_id":"41876109","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2404842567","display_name":null,"funder_award_id":"2016YFC1401007","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3791932237","display_name":null,"funder_award_id":"2017YFC1404902","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G778467477","display_name":"GF-3\u6781\u5316SAR\u6d6e\u7b4f\u517b\u6b96\u6563\u5c04\u673a\u5236\u5206\u6790\u53ca\u591a\u7279\u5f81\u96c6\u6210\u8bc6\u522b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"41706195","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"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320332375","display_name":"Jet Propulsion Laboratory","ror":"https://ror.org/027k65916"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1421632428","https://openalex.org/W1985194020","https://openalex.org/W2109900939","https://openalex.org/W2345055757","https://openalex.org/W2370317051","https://openalex.org/W2560385169","https://openalex.org/W2574739416","https://openalex.org/W2580887345","https://openalex.org/W2610921225","https://openalex.org/W2734521395","https://openalex.org/W2738226240","https://openalex.org/W2771917915","https://openalex.org/W2792085542","https://openalex.org/W2793189836","https://openalex.org/W2801275556","https://openalex.org/W2802152445","https://openalex.org/W2900431000"],"related_works":["https://openalex.org/W2146312983","https://openalex.org/W2389605595","https://openalex.org/W1980855913","https://openalex.org/W1586339758","https://openalex.org/W2553651735","https://openalex.org/W2795259429","https://openalex.org/W2610921225","https://openalex.org/W4210966920","https://openalex.org/W2156233651","https://openalex.org/W2550009779"],"abstract_inverted_index":{"In":[0,29],"recent":[1],"years,":[2],"deep":[3,81],"learning":[4,37,82,96],"neural":[5,22,113],"networks":[6],"have":[7,25],"seen":[8],"wide":[9],"adoption":[10],"in":[11,77],"synthetic":[12],"aperture":[13],"radar":[14],"(SAR)":[15],"image":[16,48,133],"applications.":[17],"Comparatively,":[18],"convenient":[19],"and":[20,61,67,74],"fast":[21],"network":[23],"models":[24],"attracted":[26],"less":[27],"attention.":[28],"this":[30],"letter,":[31],"a":[32],"novel":[33],"incremental":[34],"Wishart":[35,59],"broad":[36],"system":[38],"(IWBLS)":[39],"is":[40,98],"specifically":[41],"designed":[42],"to":[43,70,100],"achieve":[44],"polarimetric":[45,65],"SAR":[46],"(PolSAR)":[47],"classification":[49,134],"for":[50,120],"the":[51],"first":[52],"time.":[53],"IWBLS":[54,139],"can":[55,91],"effectively":[56],"transfer":[57],"essential":[58],"distribution":[60],"other":[62],"types":[63],"of":[64,131],"decomposition":[66],"spatial":[68],"features":[69],"establish":[71],"mapped":[72],"feature":[73,125],"enhancement":[75],"nodes":[76],"one":[78],"layer":[79],"without":[80],"structures,":[83],"which":[84],"means":[85],"that":[86],"massive":[87],"layer-by-layer":[88],"training":[89],"consumption":[90],"be":[92],"decreased":[93],"significantly.":[94],"Incremental":[95],"concept":[97],"incorporated":[99],"deal":[101],"with":[102],"new":[103],"PolSAR":[104,132],"images":[105],"or":[106,123],"additional":[107],"features,":[108],"thereby":[109],"avoiding":[110],"retraining":[111],"entire":[112],"networks,":[114],"whose":[115],"properties":[116],"are":[117],"very":[118],"appropriate":[119],"long-term":[121],"monitoring":[122],"stepwise":[124],"integration.":[126],"The":[127],"experiments":[128],"substantiate":[129],"advantages":[130],"based":[135],"on":[136],"our":[137],"proposed":[138],"algorithm.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
