{"id":"https://openalex.org/W4312786580","doi":"https://doi.org/10.1109/igarss46834.2022.9883902","title":"Graph-Cut-Based Node Embedding for Dimensionality Reduction and Classification of Hyperspectral Remote Sensing Images","display_name":"Graph-Cut-Based Node Embedding for Dimensionality Reduction and Classification of Hyperspectral Remote Sensing Images","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312786580","doi":"https://doi.org/10.1109/igarss46834.2022.9883902"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9883902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883902","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanchao Su","raw_affiliation_strings":["College of Geomatics, Xi'an University of Science and Technology,Xi'an,China,710054"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geomatics, Xi'an University of Science and Technology,Xi'an,China,710054","institution_ids":["https://openalex.org/I110440473"]}]},{"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'an Jiaotong University,Xi'an,China,710049"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Xi'an Jiaotong University,Xi'an,China,710049","institution_ids":["https://openalex.org/I87445476"]}]},{"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":["Aerospace Information Research Institute, Chinese Academy of Sciences,Key Laboratory of Computational Optical Imaging Technology,Beijing,China,100094"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences,Key Laboratory of Computational Optical Imaging Technology,Beijing,China,100094","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'an University of Science and Technology,Xi'an,China,710054"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geomatics, Xi'an University of Science and Technology,Xi'an,China,710054","institution_ids":["https://openalex.org/I110440473"]}]},{"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":["Aerospace Information Research Institute, Chinese Academy of Sciences,Key Laboratory of Computational Optical Imaging Technology,Beijing,China,100094"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences,Key Laboratory of Computational Optical Imaging Technology,Beijing,China,100094","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"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'an University of Science and Technology,Xi'an,China,710054"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geomatics, Xi'an University of Science and Technology,Xi'an,China,710054","institution_ids":["https://openalex.org/I110440473"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9455,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.79201486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1720","last_page":"1723"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9994999766349792,"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/T10057","display_name":"Face and Expression Recognition","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6569240093231201},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6512424349784851},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6378964781761169},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6324628591537476},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.6303690075874329},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5995336771011353},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.558039128780365},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5471082329750061},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.541489839553833},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4247789680957794},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.17558252811431885},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07389813661575317}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6569240093231201},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6512424349784851},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6378964781761169},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6324628591537476},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.6303690075874329},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5995336771011353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.558039128780365},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5471082329750061},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.541489839553833},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4247789680957794},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.17558252811431885},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07389813661575317},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9883902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883902","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"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"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"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/W2008847349","https://openalex.org/W2026131661","https://openalex.org/W2072187267","https://openalex.org/W2131828344","https://openalex.org/W2132914434","https://openalex.org/W2135758523","https://openalex.org/W2168880067","https://openalex.org/W2603834682","https://openalex.org/W2754064832","https://openalex.org/W2799338146","https://openalex.org/W2902307923","https://openalex.org/W2917647353","https://openalex.org/W2987422477","https://openalex.org/W3047443805","https://openalex.org/W3103695279","https://openalex.org/W3110749113","https://openalex.org/W3133902755","https://openalex.org/W3140885850","https://openalex.org/W6759813375"],"related_works":["https://openalex.org/W3211035526","https://openalex.org/W3154145980","https://openalex.org/W2018257962","https://openalex.org/W2031007444","https://openalex.org/W2609118866","https://openalex.org/W2771936808","https://openalex.org/W2066259560","https://openalex.org/W3185961193","https://openalex.org/W2155131749","https://openalex.org/W1518920839"],"abstract_inverted_index":{"Dimensionality":[0],"reduction":[1],"(DR)":[2],"is":[3,97],"a":[4,44,63],"common":[5],"preprocessing":[6],"technology":[7],"for":[8,53],"hyperspectral":[9],"images":[10],"(HSIs).":[11],"Recently,":[12],"many":[13],"neural":[14],"networks":[15],"can":[16,50,59,68],"implement":[17],"DR":[18,54,107],"to":[19,87],"remove":[20],"the":[21,32,36,79,94,111],"re-dundant":[22],"information":[23],"by":[24,62,99],"node":[25,37,46],"embedding.":[26,38],"However,":[27],"numer-ous":[28],"hidden-layer":[29],"parameters":[30,71],"limit":[31],"generalization":[33],"ability":[34],"of":[35,55,93],"In":[39],"this":[40],"paper,":[41],"we":[42,77],"develop":[43],"graph-cut-based":[45],"embedding":[47,58],"(GCNE)":[48],"that":[49],"be":[51],"used":[52],"HSIs.":[56,102],"The":[57,91],"refine":[60],"correlations":[61],"graph-cut":[64,80],"strategy,":[65],"and":[66,82,108],"it":[67],"avoid":[69],"numerous":[70],"when":[72],"using":[73,100],"graph":[74],"models.":[75],"Moreover,":[76],"combine":[78],"strategy":[81],"extreme":[83],"learning":[84],"machine":[85],"(ELM)":[86],"achieve":[88],"HSI":[89],"classi-fication.":[90],"effectiveness":[92],"proposed":[95,112],"method":[96],"verified":[98],"real":[101],"Compared":[103],"with":[104],"other":[105],"state-of-the-art":[106],"classification":[109],"methods,":[110],"approach":[113],"demon-strates":[114],"very":[115],"competitive":[116],"performance.":[117]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}