{"id":"https://openalex.org/W4396601399","doi":"https://doi.org/10.1145/3647649.3647677","title":"Dimensionality Reduction via Local Structure-Aware Collaborative Graph Embedding for Hyperspectral Remote Sensing Image","display_name":"Dimensionality Reduction via Local Structure-Aware Collaborative Graph Embedding for Hyperspectral Remote Sensing Image","publication_year":2024,"publication_date":"2024-01-19","ids":{"openalex":"https://openalex.org/W4396601399","doi":"https://doi.org/10.1145/3647649.3647677"},"language":"en","primary_location":{"id":"doi:10.1145/3647649.3647677","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3647649.3647677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th International Conference on Image and Graphics Processing","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/A5033398332","display_name":"Yule Duan","orcid":"https://orcid.org/0000-0002-2505-8730"},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yule Duan","raw_affiliation_strings":["College of Information Science and Engineering, Henan University of Technology, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Henan University of Technology, China","institution_ids":["https://openalex.org/I36152291"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006809077","display_name":"Lele Zhang","orcid":"https://orcid.org/0009-0003-3280-402X"},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lele Zhang","raw_affiliation_strings":["College of Information Science and Engineering, Henan University of Technology, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Henan University of Technology, China","institution_ids":["https://openalex.org/I36152291"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065992929","display_name":"Maixia Fu","orcid":"https://orcid.org/0000-0001-7333-9871"},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maixia Fu","raw_affiliation_strings":["College of Information Science and Engineering, Henan University of Technology, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Henan University of Technology, China","institution_ids":["https://openalex.org/I36152291"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029080840","display_name":"Fei Zhou","orcid":"https://orcid.org/0000-0001-8566-6968"},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Zhou","raw_affiliation_strings":["College of Information Science and Engineering, Henan University of Technology, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Henan University of Technology, China","institution_ids":["https://openalex.org/I36152291"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064209956","display_name":"Yinsheng Li","orcid":"https://orcid.org/0000-0001-8438-4942"},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinsheng Li","raw_affiliation_strings":["College of Information Science and Engineering, Henan University of Technology, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Henan University of Technology, China","institution_ids":["https://openalex.org/I36152291"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5033398332"],"corresponding_institution_ids":["https://openalex.org/I36152291"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10914096,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"166","last_page":"171"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9677000045776367,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9441999793052673,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.7506822347640991},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7480707764625549},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.731620728969574},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6490911245346069},{"id":"https://openalex.org/keywords/local-structure","display_name":"Local structure","score":0.6179432272911072},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5913211107254028},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5126609206199646},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.49618273973464966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46251216530799866},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4551326334476471},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.4440903067588806},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38600894808769226},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3036355972290039}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7506822347640991},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7480707764625549},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.731620728969574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6490911245346069},{"id":"https://openalex.org/C2986090443","wikidata":"https://www.wikidata.org/wiki/Q77870413","display_name":"Local structure","level":2,"score":0.6179432272911072},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5913211107254028},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5126609206199646},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.49618273973464966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46251216530799866},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4551326334476471},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.4440903067588806},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38600894808769226},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3036355972290039},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C159467904","wikidata":"https://www.wikidata.org/wiki/Q2001702","display_name":"Chemical physics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3647649.3647677","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3647649.3647677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th International Conference on Image and Graphics Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7599999904632568,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G6777116132","display_name":null,"funder_award_id":"42201371","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2070127246","https://openalex.org/W2165573608","https://openalex.org/W2611715706","https://openalex.org/W2895909348","https://openalex.org/W2981992760","https://openalex.org/W3006086297","https://openalex.org/W3020130933","https://openalex.org/W3114985008","https://openalex.org/W3132576058","https://openalex.org/W3163138915","https://openalex.org/W3181727745","https://openalex.org/W3217526930","https://openalex.org/W4362710603","https://openalex.org/W4385232257"],"related_works":["https://openalex.org/W2375574759","https://openalex.org/W2383239174","https://openalex.org/W3088634662","https://openalex.org/W2292979300","https://openalex.org/W117517268","https://openalex.org/W2120164251","https://openalex.org/W3162910294","https://openalex.org/W2539700568","https://openalex.org/W2931531042","https://openalex.org/W1489327846"],"abstract_inverted_index":{"Collaborative":[0],"representation":[1,119],"(CR)":[2],"based":[3],"graph":[4,61],"embedding":[5,62,77,141],"has":[6],"been":[7],"widely":[8],"used":[9],"for":[10],"dimensionality":[11],"reduction":[12],"of":[13,26,40,108,115,150,161],"remotely":[14],"sensed":[15],"hyperspectral":[16],"images":[17],"because":[18],"CR":[19,31,85],"is":[20,65,87],"able":[21],"to":[22,67,105,137],"reveal":[23,127],"the":[24,45,50,76,92,109,113,118,128,139,148],"structure":[25,47,71,111,123,134],"high-dimensional":[27],"data":[28,34,42,157],"adaptively.":[29],"However,":[30],"denotes":[32],"a":[33,37,57,82],"point":[35,94],"as":[36],"linear":[38],"combination":[39],"global":[41],"while":[43],"ignoring":[44],"important":[46],"shared":[48],"by":[49,90],"nearby":[51],"samples.":[52],"To":[53],"solve":[54],"this":[55,80],"problem,":[56],"local":[58,70,83,110,133],"structure-aware":[59,84],"collaborative":[60,73,122,130],"(LSaCGE)":[63],"method":[64,152],"proposed":[66],"preserve":[68],"both":[69],"and":[72,96,132],"relationship":[74,131],"in":[75],"process.":[78,142],"In":[79],"method,":[81],"model":[86],"first":[88],"designed":[89],"introducing":[91],"neighbor":[93],"aware":[95,99,107],"neighborhood":[97],"set":[98],"items":[100],"into":[101],"CR,":[102],"which":[103],"aims":[104],"be":[106],"during":[112],"process":[114],"representation.":[116],"With":[117],"coefficients,":[120],"two":[121,154],"preservation":[124],"graphs":[125],"that":[126,147,160],"discriminative":[129],"are":[135],"constructed":[136],"achieve":[138],"final":[140],"The":[143],"experimental":[144],"results":[145],"show":[146],"performance":[149],"our":[151],"on":[153],"public":[155],"HSI":[156],"sets":[158],"outstand":[159],"several":[162],"state-of-the-art":[163],"methods.":[164]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}