{"id":"https://openalex.org/W4409537021","doi":"https://doi.org/10.1109/tgrs.2025.3556276","title":"Adaptive Homophily Clustering: Structure Homophily Graph Learning With Adaptive Filter for Hyperspectral Image","display_name":"Adaptive Homophily Clustering: Structure Homophily Graph Learning With Adaptive Filter for Hyperspectral Image","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409537021","doi":"https://doi.org/10.1109/tgrs.2025.3556276"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3556276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3556276","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/A5090470209","display_name":"Yao Ding","orcid":"https://orcid.org/0000-0003-2040-2640"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yao Ding","raw_affiliation_strings":["Key Laboratory of Intelligent Control, Xi&#x2019;an-Research Institute of High Technology, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-2040-2640","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Control, Xi&#x2019;an-Research Institute of High Technology, Xi&#x2019;an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100622105","display_name":"Zhili Zhang","orcid":"https://orcid.org/0000-0003-4894-5495"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhili Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Control, Xi&#x2019;an-Research Institute of High Technology, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-4894-5495","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Control, Xi&#x2019;an-Research Institute of High Technology, Xi&#x2019;an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071445287","display_name":"Weijie Kang","orcid":"https://orcid.org/0000-0002-6631-4972"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weijie Kang","raw_affiliation_strings":["Key Laboratory of Intelligent Control, Xi&#x2019;an-Research Institute of High Technology, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Control, Xi&#x2019;an-Research Institute of High Technology, Xi&#x2019;an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084958010","display_name":"Aitao Yang","orcid":"https://orcid.org/0000-0003-2535-2371"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aitao Yang","raw_affiliation_strings":["Key Laboratory of Intelligent Control, Xi&#x2019;an-Research Institute of High Technology, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-2535-2371","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Control, Xi&#x2019;an-Research Institute of High Technology, Xi&#x2019;an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032167653","display_name":"Junyang Zhao","orcid":"https://orcid.org/0000-0002-3431-7546"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Junyang Zhao","raw_affiliation_strings":["Key Laboratory of Intelligent Control, Xi&#x2019;an-Research Institute of High Technology, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Control, Xi&#x2019;an-Research Institute of High Technology, Xi&#x2019;an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045546082","display_name":"Jie Feng","orcid":"https://orcid.org/0000-0002-8032-7542"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Feng","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-8032-7542","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075013625","display_name":"Danfeng Hong","orcid":"https://orcid.org/0000-0002-3212-9584"},"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":"Danfeng Hong","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3212-9584","affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113891964","display_name":"Qinghe Zheng","orcid":"https://orcid.org/0009-0003-9628-8546"},"institutions":[{"id":"https://openalex.org/I4210097214","display_name":"Shandong Management University","ror":"https://ror.org/00vzprm14","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210097214"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghe Zheng","raw_affiliation_strings":["School of Intelligent Engineering, Shandong Management University, Jinan, China"],"raw_orcid":"https://orcid.org/0009-0003-9628-8546","affiliations":[{"raw_affiliation_string":"School of Intelligent Engineering, Shandong Management University, Jinan, China","institution_ids":["https://openalex.org/I4210097214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":41.4674,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.99889595,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9830999970436096,"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"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9830999970436096,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.98089998960495,"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/T10057","display_name":"Face and Expression Recognition","score":0.9693999886512756,"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/homophily","display_name":"Homophily","score":0.9314956665039062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7153502106666565},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6711260676383972},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5655975341796875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5197684168815613},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4784029424190521},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39405500888824463},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32617565989494324},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.169685959815979},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13872045278549194}],"concepts":[{"id":"https://openalex.org/C2779812341","wikidata":"https://www.wikidata.org/wiki/Q5891525","display_name":"Homophily","level":2,"score":0.9314956665039062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7153502106666565},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6711260676383972},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5655975341796875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5197684168815613},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4784029424190521},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39405500888824463},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32617565989494324},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.169685959815979},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13872045278549194},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3556276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3556276","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/G2846443159","display_name":null,"funder_award_id":"72401292","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":42,"referenced_works":["https://openalex.org/W2095088894","https://openalex.org/W2118246710","https://openalex.org/W2125836384","https://openalex.org/W2153320597","https://openalex.org/W2161160262","https://openalex.org/W2165835468","https://openalex.org/W2555332322","https://openalex.org/W2811067672","https://openalex.org/W2889773939","https://openalex.org/W2899003677","https://openalex.org/W2945696115","https://openalex.org/W2964732194","https://openalex.org/W3004946360","https://openalex.org/W3039321110","https://openalex.org/W3136526008","https://openalex.org/W3137391901","https://openalex.org/W3168931281","https://openalex.org/W3173294575","https://openalex.org/W3212924718","https://openalex.org/W4214598159","https://openalex.org/W4281633835","https://openalex.org/W4285191214","https://openalex.org/W4291652931","https://openalex.org/W4293731866","https://openalex.org/W4301878994","https://openalex.org/W4303521054","https://openalex.org/W4309367935","https://openalex.org/W4312992590","https://openalex.org/W4324116435","https://openalex.org/W4328007633","https://openalex.org/W4381885522","https://openalex.org/W4382203265","https://openalex.org/W4387757711","https://openalex.org/W4387848840","https://openalex.org/W4389104779","https://openalex.org/W4392693996","https://openalex.org/W4393156914","https://openalex.org/W4394807950","https://openalex.org/W4396680544","https://openalex.org/W6684578312","https://openalex.org/W6850596640","https://openalex.org/W6852583479"],"related_works":["https://openalex.org/W3185373886","https://openalex.org/W3010567961","https://openalex.org/W2588006872","https://openalex.org/W4385338594","https://openalex.org/W4200127153","https://openalex.org/W3175275009","https://openalex.org/W3119171992","https://openalex.org/W2011190096","https://openalex.org/W2036947108","https://openalex.org/W1971924293"],"abstract_inverted_index":{"Hyperspectral":[0],"image":[1],"(HSI)":[2],"clustering":[3,21,68,114,142,182],"is":[4,187],"a":[5,111],"fundamental":[6],"yet":[7],"challenging":[8],"task":[9],"that":[10,98],"typically":[11],"operates":[12],"without":[13],"training":[14],"labels.":[15],"Recent":[16],"advancements":[17],"in":[18],"deep":[19],"graph":[20,52,67,96,112,128,138,156,159,172],"methods":[22],"have":[23],"shown":[24],"promise":[25],"for":[26,71,105,123],"HSI":[27,84],"due":[28],"to":[29,32,82,120,168,177],"their":[30,56],"ability":[31],"effectively":[33],"encode":[34],"spatial":[35],"structural":[36,45],"information.":[37],"However,":[38],"limitations":[39],"such":[40],"as":[41],"inadequate":[42],"utilization":[43],"of":[44,79],"information,":[46],"poor":[47],"feature":[48],"representation,":[49],"and":[50,85,102,153,171,190,197],"weak":[51],"update":[53],"capabilities":[54],"hinder":[55],"performance.":[57],"In":[58],"this":[59],"article,":[60],"we":[61,91,130,163],"propose":[62],"an":[63,93],"adaptive":[64,94],"homophily":[65],"structure":[66,133],"(AHSGC)":[69],"method":[70],"HSI.":[72],"Our":[73],"approach":[74],"begins":[75],"with":[76,174],"the":[77,87,137,141,192],"generation":[78],"homogeneous":[80],"regions":[81],"process":[83],"construct":[86],"initial":[88],"graph.":[89],"Next,":[90],"design":[92],"filter":[95],"encoder":[97],"captures":[99],"both":[100],"high":[101],"low-frequency":[103],"features":[104],"subsequent":[106],"processing.":[107],"We":[108],"then":[109],"develop":[110],"embedding":[113],"self-training":[115,170],"decoder":[116],"using":[117],"KL":[118],"Divergence":[119],"generate":[121],"pseudo-labels":[122],"network":[124,166],"training.":[125],"To":[126],"enhance":[127],"learning,":[129,134],"introduce":[131],"homophily-enhanced":[132],"which":[135],"updates":[136],"based":[139],"on":[140,184],"task.":[143],"This":[144],"involves":[145],"estimating":[146],"node":[147],"connections":[148],"through":[149],"orient":[150],"correlation":[151],"estimation":[152],"dynamically":[154],"adjusting":[155],"edges":[157],"via":[158],"edge":[160],"sparsification.":[161],"Finally,":[162],"implement":[164],"joint":[165],"optimization":[167],"facilitate":[169],"updates,":[173],"K-means":[175],"used":[176],"express":[178],"latent":[179],"features.":[180],"The":[181,199],"accuracy":[183],"three":[185],"datasets":[186],"83.60%,":[188],"63.65%,":[189],"86.03%,":[191],"FLOPs":[193],"are":[194],"3.57G,":[195],"30.62G,":[196],"2.95G.":[198],"source":[200],"code":[201],"will":[202],"be":[203],"available":[204],"at":[205],"<uri":[206],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[207],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/DY-HYX</uri>.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":38}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}