{"id":"https://openalex.org/W4414054284","doi":"https://doi.org/10.1109/jstars.2025.3606980","title":"Spectral\u2013Spatial Hypergraph Convolutional Network for Hyperspectral Image Classification","display_name":"Spectral\u2013Spatial Hypergraph Convolutional Network for Hyperspectral Image Classification","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414054284","doi":"https://doi.org/10.1109/jstars.2025.3606980"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2025.3606980","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3606980","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/jstars.2025.3606980","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039540933","display_name":"Qingwang Wang","orcid":"https://orcid.org/0000-0001-5820-5357"},"institutions":[{"id":"https://openalex.org/I146071755","display_name":"Kunming University","ror":"https://ror.org/035rhx828","country_code":"CN","type":"education","lineage":["https://openalex.org/I146071755"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingwang Wang","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0001-5820-5357","affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming, China","institution_ids":["https://openalex.org/I146071755"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fenlian Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I146071755","display_name":"Kunming University","ror":"https://ror.org/035rhx828","country_code":"CN","type":"education","lineage":["https://openalex.org/I146071755"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fenlian Liu","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming, China","institution_ids":["https://openalex.org/I146071755"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104280441","display_name":"Mingguo Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127658","display_name":"Ministry of Natural Resources","ror":"https://ror.org/03tk15k72","country_code":"RW","type":"government","lineage":["https://openalex.org/I4210127658"]}],"countries":["RW"],"is_corresponding":false,"raw_author_name":"Mingguo Wang","raw_affiliation_strings":["Yunnan Key Laboratory of Intelligent Monitoring and Spatiotemporal Big Data Governance of Natural Resources, Kunming, China"],"raw_orcid":"https://orcid.org/0009-0004-6040-0652","affiliations":[{"raw_affiliation_string":"Yunnan Key Laboratory of Intelligent Monitoring and Spatiotemporal Big Data Governance of Natural Resources, Kunming, China","institution_ids":["https://openalex.org/I4210127658"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100666781","display_name":"Lizhi Wang","orcid":"https://orcid.org/0000-0002-2962-9051"},"institutions":[{"id":"https://openalex.org/I4210127658","display_name":"Ministry of Natural Resources","ror":"https://ror.org/03tk15k72","country_code":"RW","type":"government","lineage":["https://openalex.org/I4210127658"]}],"countries":["RW"],"is_corresponding":false,"raw_author_name":"Lizhi Wang","raw_affiliation_strings":["Yunnan Key Laboratory of Intelligent Monitoring and Spatiotemporal Big Data Governance of Natural Resources, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yunnan Key Laboratory of Intelligent Monitoring and Spatiotemporal Big Data Governance of Natural Resources, Kunming, China","institution_ids":["https://openalex.org/I4210127658"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiangbo Huang","orcid":"https://orcid.org/0000-0002-6103-7769"},"institutions":[{"id":"https://openalex.org/I146071755","display_name":"Kunming University","ror":"https://ror.org/035rhx828","country_code":"CN","type":"education","lineage":["https://openalex.org/I146071755"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangbo Huang","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0002-6103-7769","affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming, China","institution_ids":["https://openalex.org/I146071755"]}]},{"author_position":"last","author":{"id":null,"display_name":"Tao Shen","orcid":"https://orcid.org/0000-0003-1273-7950"},"institutions":[{"id":"https://openalex.org/I146071755","display_name":"Kunming University","ror":"https://ror.org/035rhx828","country_code":"CN","type":"education","lineage":["https://openalex.org/I146071755"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Shen","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0003-1273-7950","affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming, China","institution_ids":["https://openalex.org/I146071755"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":0.864,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.79727851,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"18","issue":null,"first_page":"23744","last_page":"23756"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9508000016212463,"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":0.9508000016212463,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.9264000058174133},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7577999830245972},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6635000109672546},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6305000185966492},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5943999886512756},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3828999996185303},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.359499990940094}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.9264000058174133},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7577999830245972},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6635000109672546},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6305000185966492},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5943999886512756},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5730999708175659},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5303999781608582},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3828999996185303},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.359499990940094},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.33880001306533813},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.3377000093460083},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3370000123977661},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.29910001158714294},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.290800005197525},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27790001034736633},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2597000002861023},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2025.3606980","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3606980","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:55a51f257d3743738fde7142bd2a4906","is_oa":true,"landing_page_url":"https://doaj.org/article/55a51f257d3743738fde7142bd2a4906","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 23744-23756 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3606980","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3606980","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1521436688","https://openalex.org/W2153409933","https://openalex.org/W2582369608","https://openalex.org/W2614326984","https://openalex.org/W2764276316","https://openalex.org/W2793941577","https://openalex.org/W2888119354","https://openalex.org/W2892621946","https://openalex.org/W2892880750","https://openalex.org/W2913694414","https://openalex.org/W2914331134","https://openalex.org/W2971432438","https://openalex.org/W2991616716","https://openalex.org/W3043082011","https://openalex.org/W3049655825","https://openalex.org/W3085990079","https://openalex.org/W3107591966","https://openalex.org/W3128861763","https://openalex.org/W3138725786","https://openalex.org/W3164880353","https://openalex.org/W3171853541","https://openalex.org/W3184222359","https://openalex.org/W3184654054","https://openalex.org/W3205965083","https://openalex.org/W3210012904","https://openalex.org/W3214821343","https://openalex.org/W4205482611","https://openalex.org/W4226275810","https://openalex.org/W4282926996","https://openalex.org/W4294068665","https://openalex.org/W4296339430","https://openalex.org/W4306406048","https://openalex.org/W4364323060","https://openalex.org/W4367320924","https://openalex.org/W4377079779","https://openalex.org/W4381613464","https://openalex.org/W4387259442","https://openalex.org/W4389409332","https://openalex.org/W4390871554","https://openalex.org/W4391953355","https://openalex.org/W4392620694","https://openalex.org/W4392939636","https://openalex.org/W4396835384","https://openalex.org/W4398187596","https://openalex.org/W4400810737","https://openalex.org/W4402627642","https://openalex.org/W4404402469","https://openalex.org/W4405778600","https://openalex.org/W4407566426","https://openalex.org/W4408095223","https://openalex.org/W4408499345"],"related_works":["https://openalex.org/W4376608589","https://openalex.org/W2072166414","https://openalex.org/W2911497689","https://openalex.org/W2952813363","https://openalex.org/W2963346891","https://openalex.org/W4360783045","https://openalex.org/W2770149305","https://openalex.org/W3167930666","https://openalex.org/W3014952856","https://openalex.org/W3010730661"],"abstract_inverted_index":{"In":[0,71],"recent":[1],"years,":[2],"due":[3],"to":[4,56,104,122],"the":[5,20,28,36,39,64,149],"high-order":[6,124,139,155],"nonlinear":[7],"modeling":[8],"capability":[9],"of":[10,22,38,66,126],"hypergraph":[11,40,47,51,79,119,135],"convolutional":[12,80],"network":[13,81],"(HGCN),":[14],"it":[15,130],"has":[16,53],"been":[17],"introduced":[18],"into":[19],"field":[21],"hyperspectral":[23],"image":[24],"(HSI)":[25],"classification.":[26,70],"However,":[27],"inherent":[29],"spectral":[30,46,110,116,132],"redundancy":[31,112],"and":[32,60,88,113,117,133,157],"variability":[33],"directly":[34],"affect":[35],"quality":[37],"constructed":[41,121],"from":[42],"HSI.":[43],"Additionally,":[44],"single":[45],"convolution":[48,52,136],"or":[49],"spatial":[50,118,134],"limited":[54],"ability":[55],"jointly":[57],"learn":[58],"global":[59,154],"local":[61,89,158],"features,":[62,160],"limiting":[63],"performance":[65],"HGCN":[67],"in":[68],"HSI":[69,93,145,169],"this":[72],"paper,":[73],"we":[74],"propose":[75],"a":[76,166],"novel":[77],"spectral-spatial":[78,90],"(S2HGCN)":[82],"that":[83,148],"simultaneously":[84],"models":[85,153],"long-range":[86],"relationships":[87,156],"features.":[91],"Specifically,":[92],"is":[94],"first":[95],"processed":[96],"through":[97],"an":[98],"attention":[99],"feature":[100],"enhancement":[101],"module":[102],"(AFEM)":[103],"reduce":[105],"interference":[106],"noise":[107],"caused":[108],"by":[109],"information":[111],"variability.":[114],"Then":[115],"are":[120],"model":[123],"correlations":[125],"land":[127],"cover.":[128],"Finally,":[129],"combines":[131],"for":[137],"learning":[138],"correlations.":[140],"Experiments":[141],"on":[142],"three":[143],"public":[144],"datasets":[146],"demonstrate":[147],"proposed":[150],"S2HGCN":[151],"effectively":[152],"detailed":[159],"achieving":[161],"better":[162],"classification":[163,170],"results":[164],"than":[165],"few":[167],"state-of-the-art":[168],"methods.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}