{"id":"https://openalex.org/W4412837145","doi":"https://doi.org/10.1109/tgrs.2025.3594699","title":"Open Set Cross-Domain Hyperspectral Image Classification Based on Critical Reflective Learning Network","display_name":"Open Set Cross-Domain Hyperspectral Image Classification Based on Critical Reflective Learning Network","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412837145","doi":"https://doi.org/10.1109/tgrs.2025.3594699"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3594699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3594699","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/A5100427190","display_name":"Haoyu Wang","orcid":"https://orcid.org/0000-0002-8905-822X"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyu Wang","raw_affiliation_strings":["Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, and the School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","Ministry of Education, Engineering Research Center of Intelligent Control for Underground Space, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8905-822X","affiliations":[{"raw_affiliation_string":"Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, and the School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"Ministry of Education, Engineering Research Center of Intelligent Control for Underground Space, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101335795","display_name":"Zhenzhuang Qiao","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenzhuang Qiao","raw_affiliation_strings":["Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, and the School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","Ministry of Education, Engineering Research Center of Intelligent Control for Underground Space, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, and the School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"Ministry of Education, Engineering Research Center of Intelligent Control for Underground Space, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100614552","display_name":"Wei Zhang","orcid":"https://orcid.org/0009-0009-1569-9807"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, and the School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","Ministry of Education, Engineering Research Center of Intelligent Control for Underground Space, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0009-0009-1569-9807","affiliations":[{"raw_affiliation_string":"Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, and the School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"Ministry of Education, Engineering Research Center of Intelligent Control for Underground Space, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101850531","display_name":"Xiaomin Liu","orcid":"https://orcid.org/0000-0002-7487-2544"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaomin Liu","raw_affiliation_strings":["Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, and the School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","Ministry of Education, Engineering Research Center of Intelligent Control for Underground Space, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7487-2544","affiliations":[{"raw_affiliation_string":"Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, and the School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"Ministry of Education, Engineering Research Center of Intelligent Control for Underground Space, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":4.498,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.9434969,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.5404000282287598,"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/T12676","display_name":"Machine Learning and ELM","score":0.5404000282287598,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.5358999967575073,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.4602000117301941,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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":0.7820029854774475},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6768531203269958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5384988188743591},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.48160097002983093},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4567907452583313},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4421175420284271},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4322066307067871},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3906059265136719},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.158674418926239},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09766680002212524}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7820029854774475},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6768531203269958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5384988188743591},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.48160097002983093},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4567907452583313},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4421175420284271},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4322066307067871},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3906059265136719},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.158674418926239},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09766680002212524},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3594699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3594699","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/G355708474","display_name":null,"funder_award_id":"2025-00352","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4358952723","display_name":null,"funder_award_id":"62303468","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6172900300","display_name":null,"funder_award_id":"62303469","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6564810048","display_name":null,"funder_award_id":"BK20221112","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G8542357367","display_name":null,"funder_award_id":"BK20221116","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W2779610669","https://openalex.org/W2798593490","https://openalex.org/W2899003677","https://openalex.org/W2948429981","https://openalex.org/W3097526063","https://openalex.org/W3122985179","https://openalex.org/W3199617538","https://openalex.org/W3201461236","https://openalex.org/W4283760989","https://openalex.org/W4321484009","https://openalex.org/W4327661945","https://openalex.org/W4360770903","https://openalex.org/W4384304527","https://openalex.org/W4385299279","https://openalex.org/W4386299119","https://openalex.org/W4386523721","https://openalex.org/W4386858191","https://openalex.org/W4387623835","https://openalex.org/W4389104771","https://openalex.org/W4389609740","https://openalex.org/W4389610445","https://openalex.org/W4393144927","https://openalex.org/W4393147816","https://openalex.org/W4394730850","https://openalex.org/W4394938982","https://openalex.org/W4396680505","https://openalex.org/W4396909897","https://openalex.org/W4398187661","https://openalex.org/W4399206249","https://openalex.org/W4399310837","https://openalex.org/W4401211332","https://openalex.org/W4401474139","https://openalex.org/W4402039332","https://openalex.org/W4402039708","https://openalex.org/W4402261873","https://openalex.org/W4402739035","https://openalex.org/W4402816908","https://openalex.org/W4403210463","https://openalex.org/W4403914258","https://openalex.org/W4404386638"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190","https://openalex.org/W2990774877","https://openalex.org/W3093339210"],"abstract_inverted_index":{"Limited":[0],"by":[1,111,183,222],"the":[2,34,63,68,71,82,90,100,106,113,116,120,124,135,138,150,153,164,170,174,179,189,201,209,216,223,226,241,248],"lack":[3],"of":[4,7,70,105,115,137,145,152,173,203,218,225,229],"supervisory":[5,79],"information":[6,80],"unknown":[8,26,39,64,101,131,146,206],"classes,":[9,27],"existing":[10],"open":[11,83,249],"set":[12,73,84,250],"cross-domain":[13,232,251],"hyperspectral":[14],"image":[15],"(HSI)":[16],"classification":[17,253],"methods":[18,23],"often":[19],"rely":[20],"on":[21,58,134,169,236],"threshold-based":[22],"when":[24],"identifying":[25],"and":[28,40,77,99,130,205],"are":[29,109],"difficult":[30],"to":[31,33,141,162,167,199,214],"adapt":[32],"complex":[35,125],"inter-class":[36],"variability":[37],"between":[38,128],"known":[41,129,204],"classes":[42,65,132,207],"in":[43,208,247],"HSI.":[44],"To":[45],"solve":[46],"this":[47,49,184],"problem,":[48],"paper":[50],"proposes":[51],"a":[52,156],"critical-reflective":[53,157],"learning":[54,158,198],"network":[55,92,108,117,122,140,166],"(CRLN)":[56],"based":[57,133],"teacher-student":[59],"network,":[60,155,176],"which":[61,195],"obtains":[62],"probability":[66,103],"from":[67],"prediction":[69],"closed":[72],"classifier":[74,85],"(teacher":[75],"network)":[76],"provides":[78],"for":[81],"(student":[86],"network).":[87],"Specifically,":[88],"first,":[89],"teacher":[91,107,139,154,175],"is":[93,160,193],"trained":[94],"with":[95],"source":[96],"domain":[97],"data,":[98],"class":[102,190],"predictions":[104],"obtained":[110],"quantifying":[112],"uncertainty":[114],"predictions.":[118],"Second,":[119],"student":[121,165],"learns":[123],"boundary":[126],"relationship":[127],"output":[136],"achieve":[142],"accurate":[143],"recognition":[144],"classes.":[147],"Furthermore,":[148],"considering":[149],"credibility":[151],"mechanism":[159],"proposed":[161,242],"allow":[163],"reflect":[168],"erroneous":[171,186],"experiences":[172],"thus":[177],"alleviating":[178],"performance":[180,246],"damage":[181],"caused":[182],"potentially":[185],"knowledge.":[187],"Finally,":[188],"alignment-separation":[191],"module":[192],"proposed,":[194],"uses":[196],"contrastive":[197],"promote":[200],"separation":[202],"feature":[210],"space,":[211],"so":[212],"as":[213],"reduce":[215],"risk":[217],"negative":[219],"transfer":[220],"induced":[221],"confusion":[224],"two":[227],"types":[228],"features":[230],"during":[231],"distribution":[233],"adaptation.":[234],"Experiments":[235],"three":[237],"datasets":[238],"show":[239],"that":[240],"method":[243],"achieves":[244],"state-of-the-art":[245],"HSI":[252],"task.":[254]},"counts_by_year":[{"year":2026,"cited_by_count":4}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
