{"id":"https://openalex.org/W4398187661","doi":"https://doi.org/10.1109/tgrs.2024.3403648","title":"LPCN: Lightweight Precise Classification Network for Hyperspectral Remote Sensing Imagery Based on Multiobjective Optimization","display_name":"LPCN: Lightweight Precise Classification Network for Hyperspectral Remote Sensing Imagery Based on Multiobjective Optimization","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4398187661","doi":"https://doi.org/10.1109/tgrs.2024.3403648"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3403648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3403648","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/A5101423693","display_name":"Yuting Wan","orcid":"https://orcid.org/0000-0002-4366-809X"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuting Wan","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","Key Laboratory of China-ASEAN Satellite Remote Sensing Applications, Ministry of Natural Resources of the People' s Republic of China, Nanning, China","State Key Laboratory of In-formation Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Wuhan"],"raw_orcid":"https://orcid.org/0000-0002-4366-809X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]},{"raw_affiliation_string":"Key Laboratory of China-ASEAN Satellite Remote Sensing Applications, Ministry of Natural Resources of the People' s Republic of China, Nanning, China","institution_ids":["https://openalex.org/I211433327","https://openalex.org/I4210166112"]},{"raw_affiliation_string":"State Key Laboratory of In-formation Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Wuhan","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100754351","display_name":"Yanfei Zhong","orcid":"https://orcid.org/0000-0001-9446-5850"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfei Zhong","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","State Key Laboratory of In-formation Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Wuhan"],"raw_orcid":"https://orcid.org/0000-0001-9446-5850","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]},{"raw_affiliation_string":"State Key Laboratory of In-formation Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Wuhan","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2761,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79520232,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9624000191688538,"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":0.9624000191688538,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9007888436317444},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7841644287109375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6616597175598145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4889008104801178},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.24073660373687744}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9007888436317444},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7841644287109375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6616597175598145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4889008104801178},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.24073660373687744}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3403648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3403648","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/G4957787469","display_name":null,"funder_award_id":"2022M722445","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5975958015","display_name":null,"funder_award_id":"42301418","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G888127477","display_name":null,"funder_award_id":"ZDMY202305","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W2029316659","https://openalex.org/W2087263574","https://openalex.org/W2508058002","https://openalex.org/W2603422184","https://openalex.org/W2614256707","https://openalex.org/W2764276316","https://openalex.org/W2768420873","https://openalex.org/W2790226428","https://openalex.org/W2800371750","https://openalex.org/W2802876668","https://openalex.org/W2919115771","https://openalex.org/W2943270518","https://openalex.org/W2946739419","https://openalex.org/W2962770389","https://openalex.org/W2969487932","https://openalex.org/W2980587909","https://openalex.org/W2991616716","https://openalex.org/W2998757713","https://openalex.org/W3034121258","https://openalex.org/W3049655825","https://openalex.org/W3086698591","https://openalex.org/W3098388691","https://openalex.org/W3101846690","https://openalex.org/W3102135311","https://openalex.org/W3103753223","https://openalex.org/W3123544374","https://openalex.org/W3133055443","https://openalex.org/W3134761005","https://openalex.org/W3135009702","https://openalex.org/W3137820239","https://openalex.org/W3154706280","https://openalex.org/W3155110726","https://openalex.org/W3160699935","https://openalex.org/W3163193707","https://openalex.org/W3164530652","https://openalex.org/W3165209762","https://openalex.org/W3167591632","https://openalex.org/W4200073570","https://openalex.org/W4210794570","https://openalex.org/W4281633835","https://openalex.org/W4283833803","https://openalex.org/W4285127355","https://openalex.org/W4285276209","https://openalex.org/W4285678700","https://openalex.org/W4297192968","https://openalex.org/W4297200673","https://openalex.org/W4307125956","https://openalex.org/W4309368611","https://openalex.org/W4312948857","https://openalex.org/W4313334096","https://openalex.org/W4323338300","https://openalex.org/W4360584432","https://openalex.org/W4383505895","https://openalex.org/W4385289414","https://openalex.org/W4385627268","https://openalex.org/W4386824952","https://openalex.org/W4388104185","https://openalex.org/W4390244722","https://openalex.org/W4391806825","https://openalex.org/W4391938634","https://openalex.org/W6725172435"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190","https://openalex.org/W1991437568"],"abstract_inverted_index":{"Hyperspectral":[0],"remote":[1],"sensing":[2],"image":[3,19,71],"(HSI)":[4],"has":[5],"the":[6,32,55,66,110,165,168,174,185],"unique":[7],"advantages":[8],"of":[9,17,22,69,99,101,112,173,187,192,208],"spectral":[10,155],"continuity":[11],"as":[12,14,79],"well":[13],"synchronous":[15],"acquisition":[16],"both":[18],"and":[20,73,90,106,109,154,170,180,205],"spectra":[21],"objects,":[23,103,210],"which":[24,52],"can":[25],"achieve":[26],"precise":[27,129],"classification.":[28],"For":[29],"HSI":[30,86,134,200],"classification,":[31],"deep":[33],"learning":[34,50],"(DL)":[35],"methods":[36],"have":[37,97],"been":[38],"fully":[39],"developed":[40],"due":[41],"to":[42,65,120,163],"its":[43],"powerful":[44],"layer":[45,47],"by":[46,196],"nonlinear":[48],"feature":[49],"ability,":[51],"is":[53,115,194],"currently":[54],"mainstream":[56],"method.":[57],"However,":[58],"current":[59],"classification":[60,130,175],"networks":[61],"often":[62],"refer":[63],"directly":[64],"fixed":[67,144],"framework":[68],"natural":[70],"processing,":[72],"usually":[74,96],"only":[75],"focus":[76],"on":[77,136],"accuracy":[78,169],"an":[80],"optimization":[81,138],"goal,":[82],"resulting":[83],"in":[84],"poor":[85],"data":[87],"adaptation":[88],"capability":[89],"parameter":[91,171],"redundancy.":[92],"In":[93,124,141],"addition,":[94],"HSIs":[95],"dozens":[98],"types":[100,207],"ground":[102,209],"with":[104,198,202],"similar":[105,122,159],"mixed":[107],"spectra,":[108],"phenomenon":[111],"overlapping":[113],"clusters":[114],"aggravated,":[116],"making":[117],"it":[118],"difficult":[119],"distinguish":[121],"objects.":[123],"this":[125],"paper,":[126],"a":[127],"lightweight":[128,149],"network":[131,176,188],"(LPCN)":[132],"for":[133,158,183],"based":[135],"multi-objective":[137],"was":[139],"proposed.":[140],"LPCN,":[142],"traditional":[143],"architectures":[145],"are":[146,152,161,177],"avoided,":[147],"hierarchical":[148],"search":[150],"spaces":[151],"designed,":[153],"attention":[156],"mechanisms":[157],"objects":[160],"incorporated":[162],"improve":[164],"separability.":[166],"Moreover,":[167],"function":[172],"independently":[178],"modeled":[179],"optimized":[181],"simultaneously":[182],"reducing":[184],"amount":[186],"parameters.":[189],"The":[190],"effectiveness":[191],"LPCN":[193],"proved":[195],"experiments":[197],"three":[199],"datasets,":[201],"16,":[203,204],"22":[206],"respectively.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":7}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}
