{"id":"https://openalex.org/W4285269366","doi":"https://doi.org/10.1109/lgrs.2022.3184817","title":"Graph-Cut-Based Collaborative Node Embeddings for Hyperspectral Images Classification","display_name":"Graph-Cut-Based Collaborative Node Embeddings for Hyperspectral Images Classification","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285269366","doi":"https://doi.org/10.1109/lgrs.2022.3184817"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2022.3184817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3184817","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/A5087502613","display_name":"Yuanchao Su","orcid":"https://orcid.org/0000-0002-4776-0862"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanchao Su","raw_affiliation_strings":["Department of Remote Sensing, College of Geomatics, Xi&#x2019;an University of Science and Technology, Xi&#x2019;an, China","Key Laboratory of Computational Optical Imaging Technology, Chinese Academy of Sciences, Beijing, China","an, China","College of Geomatics, Xi&#x2019"],"raw_orcid":"https://orcid.org/0000-0002-4776-0862","affiliations":[{"raw_affiliation_string":"Department of Remote Sensing, College of Geomatics, Xi&#x2019;an University of Science and Technology, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I110440473"]},{"raw_affiliation_string":"Key Laboratory of Computational Optical Imaging Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"an, China","institution_ids":[]},{"raw_affiliation_string":"College of Geomatics, Xi&#x2019","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023324327","display_name":"Mengying Jiang","orcid":"https://orcid.org/0000-0001-6650-1818"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengying Jiang","raw_affiliation_strings":["School of Electronics and Information Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","an, China","Xi&#x2019"],"raw_orcid":"https://orcid.org/0000-0001-6650-1818","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"an, China","institution_ids":[]},{"raw_affiliation_string":"Xi&#x2019","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066378186","display_name":"Lianru Gao","orcid":"https://orcid.org/0000-0003-3888-8124"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianru Gao","raw_affiliation_strings":["Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3888-8124","affiliations":[{"raw_affiliation_string":"Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111863979","display_name":"Xu Sun","orcid":"https://orcid.org/0000-0001-5389-7251"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Sun","raw_affiliation_strings":["Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5389-7251","affiliations":[{"raw_affiliation_string":"Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014668123","display_name":"Xueer You","orcid":null},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueer You","raw_affiliation_strings":["College of Geomatics, Xi&#x2019;an University of Science and Technology, Xi&#x2019;an, China","an, China","Xi&#x2019"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geomatics, Xi&#x2019;an University of Science and Technology, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I110440473"]},{"raw_affiliation_string":"an, China","institution_ids":[]},{"raw_affiliation_string":"Xi&#x2019","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100339773","display_name":"Pengfei Li","orcid":"https://orcid.org/0000-0003-1173-5654"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Li","raw_affiliation_strings":["College of Geomatics, Xi&#x2019;an University of Science and Technology, Xi&#x2019;an, China","an, China","Xi&#x2019"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geomatics, Xi&#x2019;an University of Science and Technology, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I110440473"]},{"raw_affiliation_string":"an, China","institution_ids":[]},{"raw_affiliation_string":"Xi&#x2019","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2606,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.89099654,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"19","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":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/T12676","display_name":"Machine Learning and ELM","score":0.9994000196456909,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9811999797821045,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7070338726043701},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.558475136756897},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5462874174118042},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.5383136868476868},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5182487964630127},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4855794310569763},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.4822562336921692},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4702027440071106},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.4534185528755188},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.43576574325561523},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.419130802154541},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4182599186897278},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4181731343269348},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.23359587788581848},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23268026113510132}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7070338726043701},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.558475136756897},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5462874174118042},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.5383136868476868},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5182487964630127},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4855794310569763},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.4822562336921692},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4702027440071106},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.4534185528755188},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.43576574325561523},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.419130802154541},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4182599186897278},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4181731343269348},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.23359587788581848},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23268026113510132},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2022.3184817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3184817","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/1","score":0.6100000143051147,"display_name":"No poverty"}],"awards":[{"id":"https://openalex.org/G1260744863","display_name":null,"funder_award_id":"21JK0762","funder_id":"https://openalex.org/F4320325627","funder_display_name":"Education Department of Shaanxi Province"},{"id":"https://openalex.org/G192909536","display_name":null,"funder_award_id":"42001319","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G94516302","display_name":null,"funder_award_id":"2050120010","funder_id":"https://openalex.org/F4320325422","funder_display_name":"Xi'an University of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325422","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18"},{"id":"https://openalex.org/F4320325627","display_name":"Education Department of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2017212187","https://openalex.org/W2024443272","https://openalex.org/W2131828344","https://openalex.org/W2132914434","https://openalex.org/W2417947228","https://openalex.org/W2808098982","https://openalex.org/W2965416897","https://openalex.org/W2987422477","https://openalex.org/W3003326148","https://openalex.org/W3047443805","https://openalex.org/W3049655825","https://openalex.org/W3080918307","https://openalex.org/W3093600558","https://openalex.org/W3103695279","https://openalex.org/W3105357426","https://openalex.org/W3110749113","https://openalex.org/W3133902755","https://openalex.org/W3140885850","https://openalex.org/W3217526930"],"related_works":["https://openalex.org/W2786094008","https://openalex.org/W3131501806","https://openalex.org/W2799683370","https://openalex.org/W2807745940","https://openalex.org/W3203147499","https://openalex.org/W66986276","https://openalex.org/W4394929514","https://openalex.org/W2018870022","https://openalex.org/W1482431412","https://openalex.org/W3017268890"],"abstract_inverted_index":{"Node":[0],"embedding":[1],"(NE)":[2],"is":[3,153],"conducive":[4],"to":[5,72,98,101,116,120],"aggregating":[6],"correlations":[7,27],"and":[8,43,173],"relieving":[9],"the":[10,13,31,60,89,103,118,122,127,133,154,157,176],"influence":[11],"of":[12,33,129,151,159,175],"Hughes":[14],"phenomenon":[15],"when":[16,82],"processing":[17],"high-dimensional":[18],"data.":[19],"Although":[20],"some":[21],"graph":[22,85],"neural":[23],"networks":[24],"can":[25],"capture":[26],"during":[28],"achieving":[29],"NE,":[30],"application":[32],"NE":[34,70],"still":[35],"faces":[36],"two":[37],"rigorous":[38],"challenges:":[39],"numerous":[40,79],"model":[41,80],"parameters":[42,81],"poor":[44],"generalization.":[45],"In":[46],"this":[47],"letter,":[48],"we":[49,66,106,162],"propose":[50],"a":[51,68,84,92],"new":[52],"approach":[53],"for":[54],"hyperspectral":[55],"image":[56],"(HSI)":[57],"classification,":[58],"called":[59],"graph-cut-based":[61,69],"collaborative":[62,123,134],"NEs":[63],"(GCCNE).":[64],"Specifically,":[65],"develop":[67],"(GCNE)":[71],"achieve":[73],"low-dimensional":[74,93],"feature":[75,124,130,135],"representation,":[76],"which":[77],"avoids":[78],"using":[83,182],"structure.":[86],"Considering":[87],"that":[88],"graph-cut":[90],"in":[91,139],"space":[94],"does":[95],"not":[96],"need":[97],"set":[99],"anchors":[100],"decrease":[102],"calculation":[104],"amount,":[105],"adopt":[107],"an":[108,164],"ensemble":[109,165],"framework":[110],"based":[111],"on":[112],"random":[113],"subspaces":[114],"(RSs)":[115],"implement":[117],"GCNE":[119],"obtain":[121],"sets,":[125],"enhancing":[126],"generalization":[128],"representation.":[131],"Afterward,":[132],"sets":[136],"are":[137,179],"input":[138],"several":[140],"kernel-based":[141],"extreme":[142],"learning":[143],"machines":[144],"(KELMs),":[145],"respectively,":[146],"classifying":[147],"pixels.":[148],"The":[149,171],"number":[150,158],"RSs":[152],"same":[155],"as":[156],"KELMs.":[160],"Finally,":[161],"acquire":[163],"result":[166],"associated":[167],"with":[168],"each":[169],"class.":[170],"effectiveness":[172],"competitiveness":[174],"proposed":[177],"method":[178],"evaluated":[180],"by":[181],"real":[183],"HSI":[184],"datasets.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
