{"id":"https://openalex.org/W4312714736","doi":"https://doi.org/10.1109/igarss46834.2022.9884654","title":"Multi-Scale Fusion Maximum Entropy Subspace Clustering for Hyperspectral Band Selection","display_name":"Multi-Scale Fusion Maximum Entropy Subspace Clustering for Hyperspectral Band Selection","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312714736","doi":"https://doi.org/10.1109/igarss46834.2022.9884654"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9884654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884654","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":"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/A5013247768","display_name":"Haipeng Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haipeng Ma","raw_affiliation_strings":["Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University,Dalian,China,116026","Department of ground-air navigation, Air Force Communication Officer School, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University,Dalian,China,116026","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"Department of ground-air navigation, Air Force Communication Officer School, Dalian, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374604","display_name":"Yulei Wang","orcid":"https://orcid.org/0000-0001-6436-5883"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulei Wang","raw_affiliation_strings":["Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University,Dalian,China,116026","Department of ground-air navigation, Air Force Communication Officer School, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University,Dalian,China,116026","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"Department of ground-air navigation, Air Force Communication Officer School, Dalian, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020373704","display_name":"Liru Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liru Jiang","raw_affiliation_strings":["Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University,Dalian,China,116026","Department of ground-air navigation, Air Force Communication Officer School, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University,Dalian,China,116026","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"Department of ground-air navigation, Air Force Communication Officer School, Dalian, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101405735","display_name":"Meiping Song","orcid":"https://orcid.org/0000-0002-4489-5470"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiping Song","raw_affiliation_strings":["Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University,Dalian,China,116026","Department of ground-air navigation, Air Force Communication Officer School, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University,Dalian,China,116026","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"Department of ground-air navigation, Air Force Communication Officer School, Dalian, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100624941","display_name":"Chunyan Yu","orcid":"https://orcid.org/0000-0002-9260-6629"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyan Yu","raw_affiliation_strings":["Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University,Dalian,China,116026","Department of ground-air navigation, Air Force Communication Officer School, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University,Dalian,China,116026","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"Department of ground-air navigation, Air Force Communication Officer School, Dalian, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031035100","display_name":"Enyu Zhao","orcid":"https://orcid.org/0000-0001-7165-1861"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enyu Zhao","raw_affiliation_strings":["Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University,Dalian,China,116026","Department of ground-air navigation, Air Force Communication Officer School, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University,Dalian,China,116026","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"Department of ground-air navigation, Air Force Communication Officer School, Dalian, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":null,"apc_paid":null,"fwci":1.4267,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8493841,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"779","last_page":"782"},"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6700031757354736},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6527677178382874},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6431397795677185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6413764953613281},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5407488346099854},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.5133580565452576},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5102803707122803},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5058969855308533},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4946911036968231},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4365178942680359},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.4264209568500519},{"id":"https://openalex.org/keywords/coefficient-matrix","display_name":"Coefficient matrix","score":0.42558425664901733},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14248234033584595},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.09976041316986084},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0936032235622406}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6700031757354736},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6527677178382874},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6431397795677185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6413764953613281},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5407488346099854},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.5133580565452576},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5102803707122803},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5058969855308533},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4946911036968231},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4365178942680359},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.4264209568500519},{"id":"https://openalex.org/C60866291","wikidata":"https://www.wikidata.org/wiki/Q5140577","display_name":"Coefficient matrix","level":3,"score":0.42558425664901733},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14248234033584595},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.09976041316986084},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0936032235622406},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9884654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884654","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":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G4110561124","display_name":null,"funder_award_id":"2020M670723","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6809929499","display_name":null,"funder_award_id":"3132022232","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2071821878","https://openalex.org/W2138038253","https://openalex.org/W2946787697","https://openalex.org/W2978620371","https://openalex.org/W3010186256","https://openalex.org/W3035059937","https://openalex.org/W3112881158","https://openalex.org/W6787598964"],"related_works":["https://openalex.org/W4287995534","https://openalex.org/W2998168123","https://openalex.org/W2547150524","https://openalex.org/W2783789044","https://openalex.org/W2380748039","https://openalex.org/W2775464024","https://openalex.org/W3130228707","https://openalex.org/W2588330143","https://openalex.org/W2321141263","https://openalex.org/W2356785272"],"abstract_inverted_index":{"A":[0,73],"novel":[1],"multi-scale":[2,74,84],"fusion":[3,75,82],"maximum":[4,100],"entropy":[5,101],"subspace":[6,34,71,107],"clustering":[7,21,35,108],"(MFMESC)":[8],"for":[9,70],"hyperspectral":[10],"image":[11],"(HSI)":[12],"band":[13],"selection":[14],"is":[15,22,77,103],"proposed":[16,123],"in":[17,37,105],"this":[18],"paper.":[19],"Subspace":[20],"combined":[23],"as":[24],"a":[25,92],"self-expression":[26,95],"layer":[27],"with":[28,42,46],"stacked":[29],"convolutional":[30],"autoencoder,":[31],"so":[32],"that":[33],"working":[36],"linear":[38,51],"subspaces":[39],"can":[40],"deal":[41],"complicated":[43],"HSI":[44],"data":[45],"nonlinear":[47],"characteristics.":[48],"Multiple":[49],"fully-connected":[50],"layers":[52,58,63,89],"are":[53],"inserted":[54],"between":[55],"the":[56,81,99,106,111,119,122],"encoder":[57],"and":[59],"their":[60],"corresponding":[61],"decoder":[62],"to":[64,79,90,109],"promote":[65,110],"learning":[66],"more":[67,93],"favorable":[68],"representations":[69],"clustering.":[72],"module":[76],"designed":[78],"guide":[80],"of":[83,121],"information":[85],"extracted":[86],"from":[87],"different":[88],"learn":[91],"discriminative":[94],"coefficient":[96],"matrix.":[97],"Furthermore,":[98],"regularization":[102],"introduced":[104],"connectivity":[112],"within":[113],"each":[114],"subspace.":[115],"Experimental":[116],"results":[117],"demonstrate":[118],"superiority":[120],"model":[124],"against":[125],"state":[126],"of-the-art":[127],"methods.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
