{"id":"https://openalex.org/W4387609125","doi":"https://doi.org/10.1109/lgrs.2023.3323706","title":"Pixel-Superpixel Level Multiscale Graph and Spectral\u2013Spatial Representation Fusion Network for Hyperspectral Image Classification","display_name":"Pixel-Superpixel Level Multiscale Graph and Spectral\u2013Spatial Representation Fusion Network for Hyperspectral Image Classification","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387609125","doi":"https://doi.org/10.1109/lgrs.2023.3323706"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2023.3323706","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3323706","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/A5100329553","display_name":"Xueqin Wang","orcid":"https://orcid.org/0009-0009-4593-1611"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]},{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xueqin Wang","raw_affiliation_strings":["College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China","College of Electronic and Information Engineering, Shandong University of Science Technology, Qingdao, Shandong, China","College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"College of Electronic and Information Engineering, Shandong University of Science Technology, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I80143920"]},{"raw_affiliation_string":"College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, Shandong, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010672227","display_name":"Wenhui Guo","orcid":"https://orcid.org/0000-0002-3485-988X"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhui Guo","raw_affiliation_strings":["College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China","College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, Shandong, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104182524","display_name":"Xinru Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinru Fan","raw_affiliation_strings":["College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China","College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, Shandong, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101722534","display_name":"Yanjiang Wang","orcid":"https://orcid.org/0000-0001-9910-7884"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanjiang Wang","raw_affiliation_strings":["College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China","College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, Shandong, China","institution_ids":["https://openalex.org/I4210162190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100329553"],"corresponding_institution_ids":["https://openalex.org/I4210162190","https://openalex.org/I80143920"],"apc_list":null,"apc_paid":null,"fwci":0.1588,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51667312,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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":1.0,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9887999892234802,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9768000245094299,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6477783918380737},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6133638620376587},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5999178290367126},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5988667011260986},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5976076126098633},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5435769557952881},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5271472930908203},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5183973908424377},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.18366894125938416}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6477783918380737},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6133638620376587},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5999178290367126},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5988667011260986},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5976076126098633},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5435769557952881},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5271472930908203},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5183973908424377},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18366894125938416},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2023.3323706","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3323706","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":[],"awards":[{"id":"https://openalex.org/G1790165614","display_name":null,"funder_award_id":"62072468","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1521436688","https://openalex.org/W1522301498","https://openalex.org/W2029316659","https://openalex.org/W2572303978","https://openalex.org/W2764276316","https://openalex.org/W2914331134","https://openalex.org/W2915851545","https://openalex.org/W2922638023","https://openalex.org/W2964015378","https://openalex.org/W2991494819","https://openalex.org/W3040978759","https://openalex.org/W3107591966","https://openalex.org/W3125418472","https://openalex.org/W3135226568","https://openalex.org/W3193242948","https://openalex.org/W4210794570","https://openalex.org/W4226467560","https://openalex.org/W4300952079","https://openalex.org/W4319865968","https://openalex.org/W4364323060","https://openalex.org/W4377079779","https://openalex.org/W4382700610","https://openalex.org/W6631190155","https://openalex.org/W6726873649","https://openalex.org/W6760560674"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2060875994","https://openalex.org/W2027399350","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2019190440","https://openalex.org/W2084942241"],"abstract_inverted_index":{"Hyperspectral":[0],"image":[1],"(HSI)":[2],"classification":[3,42],"technology":[4],"has":[5,20],"continuously":[6],"made":[7],"breakthroughs.":[8],"Especially":[9],"with":[10,28,36,85],"the":[11,40,45,59,107,110,121,124,136,139,142,157,172,182],"emergence":[12],"of":[13,99,109,123,138,141],"convolutional":[14,50],"neural":[15],"networks":[16],"(CNN),":[17],"its":[18],"performance":[19,180],"been":[21],"rapidly":[22],"enhanced.":[23],"However,":[24],"CNN":[25,55],"uses":[26],"kernels":[27],"fixed":[29],"sizes,":[30],"which":[31],"cannot":[32],"flexibly":[33],"handle":[34],"data":[35],"irregular":[37],"patterns,":[38],"affecting":[39],"HSI":[41,60],"results.":[43],"Therefore,":[44],"paper":[46],"introduces":[47],"a":[48,64,78,92],"graph":[49,68],"network":[51,73,159],"(GCN)":[52],"to":[53],"assist":[54],"in":[56],"further":[57],"optimizing":[58],"representation":[61,81,95],"and":[62,69,91,135,156],"proposes":[63],"pixel-superpixel":[65],"level":[66],"multiscale":[67,87],"spectral-spatial":[70],"representations":[71],"fusion":[72],"(Ps-MGSRF)":[74],"that":[75,171],"mainly":[76],"includes":[77],"pixel-level":[79],"feature":[80,88,94],"module":[82,96],"(PFRM)":[83],"formed":[84],"multiple":[86],"refiltering":[89],"blocks":[90],"superpixel-level":[93],"(SFRM)":[97],"composed":[98],"different":[100],"orders\u2019":[101],"residual":[102],"GCN":[103],"(ResGCN)":[104],"blocks.":[105],"Finally,":[106],"loss":[108,122,137],"PFRM":[111],"branch":[112,126],"(":[113,127,145],"<italic":[114,128,146],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[115,118,129,132,147,150],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">loss</i>":[116,130,148],"<sub":[117,131,149],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[119],"),":[120,134],"SFRM":[125],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[133],"merging":[140],"two":[143],"branches":[144],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">3</sub>":[151],")":[152],"are":[153],"calculated":[154],"separately,":[155],"Ps-MGSRF":[158,174],"is":[160],"updated":[161],"by":[162],"adaptive":[163],"weighting":[164],"three":[165],"losses.":[166],"The":[167],"test":[168],"results":[169],"indicate":[170],"proposed":[173],"model":[175],"could":[176],"achieve":[177],"better":[178],"experimental":[179],"than":[181],"advanced":[183],"comparison":[184],"methods.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
