{"id":"https://openalex.org/W2346218836","doi":"https://doi.org/10.1109/tgrs.2016.2553047","title":"A Novel Synergetic Classification Approach for Hyperspectral and Panchromatic Images Based on Self-Learning","display_name":"A Novel Synergetic Classification Approach for Hyperspectral and Panchromatic Images Based on Self-Learning","publication_year":2016,"publication_date":"2016-05-02","ids":{"openalex":"https://openalex.org/W2346218836","doi":"https://doi.org/10.1109/tgrs.2016.2553047","mag":"2346218836"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2016.2553047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2016.2553047","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/A5090128836","display_name":"Xiaochen Lu","orcid":"https://orcid.org/0000-0003-1745-4992"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaochen Lu","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696425","display_name":"Junping Zhang","orcid":"https://orcid.org/0000-0002-1082-114X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junping Zhang","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100462533","display_name":"Tong Li","orcid":"https://orcid.org/0000-0002-0363-6755"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Li","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100449291","display_name":"Ye Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Zhang","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5090128836"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":1.315,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.84114099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"54","issue":"8","first_page":"4917","last_page":"4928"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994000196456909,"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/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9660999774932861,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9646999835968018,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/panchromatic-film","display_name":"Panchromatic film","score":0.9031343460083008},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8431061506271362},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7663325667381287},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7270825505256653},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6302053928375244},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5368765592575073},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5350711345672607},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.49164634943008423},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.48715516924858093},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4111071825027466},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.37696442008018494},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3725625276565552},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31363445520401}],"concepts":[{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.9031343460083008},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8431061506271362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7663325667381287},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7270825505256653},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6302053928375244},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5368765592575073},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5350711345672607},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.49164634943008423},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.48715516924858093},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4111071825027466},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.37696442008018494},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3725625276565552},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31363445520401}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2016.2553047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2016.2553047","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":[],"awards":[{"id":"https://openalex.org/G4760683723","display_name":null,"funder_award_id":"61471148","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5483093032","display_name":null,"funder_award_id":"61271348","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":55,"referenced_works":["https://openalex.org/W1483816357","https://openalex.org/W1513874326","https://openalex.org/W1963631516","https://openalex.org/W1966566667","https://openalex.org/W1975016443","https://openalex.org/W1977608287","https://openalex.org/W1978491025","https://openalex.org/W1988747891","https://openalex.org/W1992560223","https://openalex.org/W1997903011","https://openalex.org/W2012223818","https://openalex.org/W2019338222","https://openalex.org/W2029296788","https://openalex.org/W2029436780","https://openalex.org/W2030476695","https://openalex.org/W2035435035","https://openalex.org/W2037295545","https://openalex.org/W2039956000","https://openalex.org/W2041478093","https://openalex.org/W2048679005","https://openalex.org/W2058132610","https://openalex.org/W2059089906","https://openalex.org/W2063907334","https://openalex.org/W2098758111","https://openalex.org/W2101365302","https://openalex.org/W2101927381","https://openalex.org/W2102731100","https://openalex.org/W2107131609","https://openalex.org/W2109751703","https://openalex.org/W2113464037","https://openalex.org/W2114691401","https://openalex.org/W2124706543","https://openalex.org/W2129872026","https://openalex.org/W2132525626","https://openalex.org/W2133228628","https://openalex.org/W2134357733","https://openalex.org/W2134663338","https://openalex.org/W2136251662","https://openalex.org/W2137027839","https://openalex.org/W2138334423","https://openalex.org/W2139573966","https://openalex.org/W2142012908","https://openalex.org/W2146611644","https://openalex.org/W2149471024","https://openalex.org/W2150045166","https://openalex.org/W2153409933","https://openalex.org/W2153689499","https://openalex.org/W2154624311","https://openalex.org/W2154772499","https://openalex.org/W2158479283","https://openalex.org/W2165049595","https://openalex.org/W2171566342","https://openalex.org/W4285719527","https://openalex.org/W6628964739","https://openalex.org/W6677065643"],"related_works":["https://openalex.org/W4285005667","https://openalex.org/W2950729865","https://openalex.org/W4298392938","https://openalex.org/W2008401355","https://openalex.org/W2375230202","https://openalex.org/W2765143580","https://openalex.org/W1515213874","https://openalex.org/W2317401237","https://openalex.org/W3042144917","https://openalex.org/W3192816080"],"abstract_inverted_index":{"In":[0],"this":[1,17],"paper,":[2],"we":[3],"propose":[4],"a":[5,22,50,60,77,83,109,150,167],"self-learning":[6,84],"approach":[7,66,148],"for":[8,29,82,122],"remote":[9],"sensing":[10],"image":[11,53,68],"classification.":[12],"The":[13],"main":[14],"work":[15],"of":[16,25,41,49,59,108,117,173],"paper":[18],"aims":[19],"at":[20],"providing":[21],"new":[23],"framework":[24],"semisupervised":[26],"learning":[27,73,80,89,132],"technique":[28],"multiple-source":[30],"synergetic":[31,171],"classification,":[32],"thereby":[33],"improving":[34],"the":[35,39,45,55,64,88,105,124],"classification":[36,155,172],"accuracy":[37,156],"under":[38],"condition":[40],"small":[42],"samples.":[43],"Considering":[44],"high":[46,56],"spectral":[47],"resolution":[48,58],"hyperspectral":[51],"(HS)":[52],"and":[54,75,104,141,162,175],"spatial":[57],"panchromatic":[61],"(PAN)":[62],"image,":[63],"proposed":[65,147],"combines":[67],"segmentation":[69],"with":[70,129,158],"an":[71],"active":[72,79,131],"algorithm":[74,90],"adopts":[76],"standard":[78],"method":[81],"strategy,":[85],"in":[86,170],"which":[87],"automatically":[91],"selects":[92],"informative":[93],"unlabeled":[94],"samples":[95],"by":[96],"itself":[97],"according":[98],"to":[99,165],"their":[100],"collaborative":[101],"spatial-spectral":[102],"features":[103],"predicted":[106],"information":[107],"spectral-based":[110],"classifier.":[111],"This":[112],"way,":[113],"no":[114],"extra":[115],"cost":[116],"human":[118],"expertise":[119],"is":[120],"required":[121],"labeling":[123],"selected":[125],"pixels":[126],"when":[127],"compared":[128,157],"conventional":[130],"methods.":[133],"Experiments":[134],"on":[135,153],"three":[136],"data":[137],"sets,":[138],"including":[139],"HS":[140,174],"PAN":[142,176],"images,":[143],"indicate":[144],"that":[145],"our":[146],"has":[149],"great":[151],"enhancement":[152],"overall":[154],"classical":[159],"supervised":[160],"algorithms":[161],"turns":[163],"out":[164],"be":[166],"promising":[168],"strategy":[169],"images.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}