{"id":"https://openalex.org/W4408355842","doi":"https://doi.org/10.1109/icassp49660.2025.10889288","title":"Dimensionality-Reduced Spatial Bipartite Graph Clustering for Hyperspectral and LiDAR Data","display_name":"Dimensionality-Reduced Spatial Bipartite Graph Clustering for Hyperspectral and LiDAR Data","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408355842","doi":"https://doi.org/10.1109/icassp49660.2025.10889288"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10889288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5111037307","display_name":"Zhe Cao","orcid":"https://orcid.org/0009-0005-3706-6446"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Cao","raw_affiliation_strings":["OPtics and ElectroNics (iOPEN) Northwestern Polytechnical University,School of Artificial Intelligence,Xi&#x2019;an,P. R. China,710072"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"OPtics and ElectroNics (iOPEN) Northwestern Polytechnical University,School of Artificial Intelligence,Xi&#x2019;an,P. R. China,710072","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014586913","display_name":"Haonan Xin","orcid":"https://orcid.org/0000-0003-2473-4108"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haonan Xin","raw_affiliation_strings":["OPtics and ElectroNics (iOPEN) Northwestern Polytechnical University,School of Artificial Intelligence,Xi&#x2019;an,P. R. China,710072"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"OPtics and ElectroNics (iOPEN) Northwestern Polytechnical University,School of Artificial Intelligence,Xi&#x2019;an,P. R. China,710072","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040372233","display_name":"Bo Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Yan","raw_affiliation_strings":["OPtics and ElectroNics (iOPEN) Northwestern Polytechnical University,School of Artificial Intelligence,Xi&#x2019;an,P. R. China,710072"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"OPtics and ElectroNics (iOPEN) Northwestern Polytechnical University,School of Artificial Intelligence,Xi&#x2019;an,P. R. China,710072","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009402189","display_name":"Jinping Sui","orcid":"https://orcid.org/0000-0002-1705-3809"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinping Sui","raw_affiliation_strings":["Dalian Naval Academy,Operational Software and Simulation Research Institute,Dalian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Naval Academy,Operational Software and Simulation Research Institute,Dalian,China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030351224","display_name":"Rong Wang","orcid":"https://orcid.org/0000-0001-9240-6726"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Wang","raw_affiliation_strings":["OPtics and ElectroNics (iOPEN) Northwestern Polytechnical University,School of Artificial Intelligence,Xi&#x2019;an,P. R. China,710072"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"OPtics and ElectroNics (iOPEN) Northwestern Polytechnical University,School of Artificial Intelligence,Xi&#x2019;an,P. R. China,710072","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9811000227928162,"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"}},"topics":[{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9811000227928162,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9757000207901001,"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":0.9677000045776367,"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/bipartite-graph","display_name":"Bipartite graph","score":0.7311390042304993},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6935378313064575},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6725249290466309},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6715216636657715},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5635857582092285},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.5429006814956665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4596068859100342},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4590649902820587},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3722328543663025},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35203951597213745},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.27146875858306885},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1903858184814453},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1350300908088684}],"concepts":[{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.7311390042304993},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6935378313064575},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6725249290466309},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6715216636657715},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5635857582092285},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.5429006814956665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4596068859100342},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4590649902820587},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3722328543663025},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35203951597213745},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.27146875858306885},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1903858184814453},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1350300908088684}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10889288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2005106632","https://openalex.org/W2019338222","https://openalex.org/W2043571470","https://openalex.org/W2135431554","https://openalex.org/W2344373810","https://openalex.org/W2574404198","https://openalex.org/W2577472518","https://openalex.org/W2896340099","https://openalex.org/W2903882179","https://openalex.org/W2963885538","https://openalex.org/W3044063956","https://openalex.org/W3072262295","https://openalex.org/W3101308162","https://openalex.org/W3205485865","https://openalex.org/W4200226646","https://openalex.org/W4224931692","https://openalex.org/W4306317265","https://openalex.org/W4306317409","https://openalex.org/W4308497260","https://openalex.org/W4382202889","https://openalex.org/W4386362931","https://openalex.org/W4387789944","https://openalex.org/W4392904455","https://openalex.org/W4392904712","https://openalex.org/W4397031049","https://openalex.org/W4401485050","https://openalex.org/W4401567221","https://openalex.org/W4402568417"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W4406302447","https://openalex.org/W2901265155","https://openalex.org/W2072166414","https://openalex.org/W2956374172","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W2132083814"],"abstract_inverted_index":{"The":[0],"growing":[1],"volume":[2],"of":[3,64,137],"remote":[4],"sensing":[5],"(RS)":[6],"data":[7,13,22],"highlights":[8],"the":[9,33,50,117,133,138],"need":[10,51],"for":[11,52,88],"enhanced":[12],"integration":[14],"and":[15,20,37,70,90,107,124,128,135],"processing.":[16],"While":[17],"combining":[18],"hyperspectral":[19,40],"LiDAR":[21,91],"improves":[23],"analysis":[24],"by":[25,103],"addressing":[26],"spectral":[27,68],"variability,":[28],"challenges":[29],"persist":[30],"due":[31],"to":[32,112],"high":[34],"dimensionality,":[35],"noise,":[36],"outliers":[38],"in":[39,116],"images":[41],"(HSI).":[42],"Additionally,":[43],"supervised":[44],"classification":[45],"is":[46],"labor-intensive,":[47],"further":[48],"motivating":[49],"advanced":[53],"unsupervised":[54],"clustering":[55,58,126],"methods.":[56],"Current":[57],"approaches,":[59],"however,":[60],"struggle":[61],"with":[62],"underutilization":[63],"spatial":[65,96],"information,":[66],"redundant":[67,105],"bands,":[69,106],"information":[71,97,122],"divergence":[72,123],"across":[73],"multimodal":[74],"data.":[75],"To":[76],"overcome":[77],"these":[78],"issues,":[79],"we":[80],"propose":[81],"a":[82,109],"Dimensionality-Reduced":[83],"Spatial":[84],"Bipartite":[85],"Graph":[86],"Clustering":[87],"Hyperspectral":[89],"Data.":[92],"This":[93,120],"method":[94,140],"integrates":[95],"through":[98],"bipartite":[99],"graphs,":[100],"reduces":[101,121],"dimensionality":[102],"eliminating":[104],"employs":[108],"tensor-based":[110],"framework":[111],"explore":[113],"consistent":[114],"structures":[115],"low-rank":[118],"space.":[119],"enhances":[125],"stability":[127],"performance.":[129],"Extensive":[130],"experiments":[131],"demonstrate":[132],"effectiveness":[134],"robustness":[136],"proposed":[139],"on":[141],"real":[142],"datasets.":[143]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
