{"id":"https://openalex.org/W7203931372","doi":"https://doi.org/10.1109/ictc70246.2026.11649999","title":"Interactive Attention Network Based on Quaternion and Transformer for Hyperspectral Image Classification","display_name":"Interactive Attention Network Based on Quaternion and Transformer for Hyperspectral Image Classification","publication_year":2026,"publication_date":"2026-05-01","ids":{"openalex":"https://openalex.org/W7203931372","doi":"https://doi.org/10.1109/ictc70246.2026.11649999"},"language":"en","primary_location":{"id":"doi:10.1109/ictc70246.2026.11649999","doi":"https://doi.org/10.1109/ictc70246.2026.11649999","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ictc70246.2026.11649999","pdf_url":null,"source":{"id":"https://openalex.org/S7407088594","display_name":"Information Communication Technologies Conference (ICTC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 7th Information Communication Technologies Conference (ICTC)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/ictc70246.2026.11649999","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5147790527","display_name":"Hongyan Li","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyan Li","raw_affiliation_strings":["School of Mathematics and Statistics, Wuhan Textile University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Wuhan Textile University","institution_ids":["https://openalex.org/I4210119942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102893033","display_name":"Hua Huang","orcid":"https://orcid.org/0000-0003-0424-2819","observed_orcids":["https://orcid.org/0000-0003-0424-2819"]},"institutions":[{"id":"https://openalex.org/I4210100789","display_name":"Wuhan College","ror":"https://ror.org/01dashf18","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210100789"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Huang","raw_affiliation_strings":["School of Information Engineering, Wuhan College"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Wuhan College","institution_ids":["https://openalex.org/I4210100789"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5146070257","display_name":"Hanzhong Li","orcid":"https://orcid.org/0009-0006-5714-1076","observed_orcids":["https://orcid.org/0009-0006-5714-1076"]},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanzhong Li","raw_affiliation_strings":["School of Mathematics and Statistics, Wuhan Textile University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Wuhan Textile University","institution_ids":["https://openalex.org/I4210119942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5147775814","display_name":"Can Shang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Can Shang","raw_affiliation_strings":["School of Mathematics and Statistics, Wuhan Textile University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Wuhan Textile University","institution_ids":["https://openalex.org/I4210119942"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5134716870","display_name":"Huizhen Li","orcid":"https://orcid.org/0000-0002-2398-5565","observed_orcids":["https://orcid.org/0000-0002-2398-5565"]},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huizhen Li","raw_affiliation_strings":["School of Mathematics and Statistics, Wuhan Textile University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Wuhan Textile University","institution_ids":["https://openalex.org/I4210119942"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"184","last_page":"188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.00039999998989515007,"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"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-image-classification","display_name":"hyperspectral image classification","score":0.9909999966621399},{"id":"https://openalex.org/keywords/quaternions","display_name":"quaternions","score":0.6050000190734863},{"id":"https://openalex.org/keywords/transformer","display_name":"transformer models","score":0.7559999823570251},{"id":"https://openalex.org/keywords/interactive-attention","display_name":"interactive attention","score":0.8100000023841858},{"id":"https://openalex.org/keywords/global-and-local-feature-fusion","display_name":"global-local feature fusion","score":0.8579999804496765}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6728000044822693},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5726000070571899},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5252000093460083},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.48829999566078186},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47850000858306885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4779999852180481},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.44690001010894775},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4065000116825104},{"id":"https://openalex.org/C200127275","wikidata":"https://www.wikidata.org/wiki/Q173853","display_name":"Quaternion","level":2,"score":0.38519999384880066},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3456000089645386},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.3127000033855438},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2867000102996826},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2619999945163727},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2605000138282776}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc70246.2026.11649999","doi":"https://doi.org/10.1109/ictc70246.2026.11649999","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ictc70246.2026.11649999","pdf_url":null,"source":{"id":"https://openalex.org/S7407088594","display_name":"Information Communication Technologies Conference (ICTC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 7th Information Communication Technologies Conference (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/ictc70246.2026.11649999","doi":"https://doi.org/10.1109/ictc70246.2026.11649999","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ictc70246.2026.11649999","pdf_url":null,"source":{"id":"https://openalex.org/S7407088594","display_name":"Information Communication Technologies Conference (ICTC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 7th Information Communication Technologies Conference (ICTC)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2911113196","https://openalex.org/W2914331134","https://openalex.org/W3022592629","https://openalex.org/W3043181422","https://openalex.org/W3145183637","https://openalex.org/W4210785162","https://openalex.org/W4210794570","https://openalex.org/W4285127355","https://openalex.org/W4391467954"],"related_works":["https://openalex.org/W7222959716","https://openalex.org/W4379659754","https://openalex.org/W7223128894","https://openalex.org/W7167469535","https://openalex.org/W7171521375","https://openalex.org/W7169077011","https://openalex.org/W7204528551","https://openalex.org/W7213316346","https://openalex.org/W4409343924","https://openalex.org/W7169767827"],"abstract_inverted_index":{"The":[0],"algebraic":[1],"structure":[2],"and":[3,12,42,53,74,78,100],"operational":[4],"properties":[5],"of":[6,57,59,76,97,103,110],"quaternions":[7],"can":[8],"preserve":[9],"more":[10,48],"information":[11,14],"enhance":[13,92],"interaction.":[15],"Thus,":[16],"this":[17],"paper":[18],"proposes":[19],"a":[20,47,63],"quaternion-Transformer":[21],"interactive":[22,65],"attention":[23,66],"network":[24,99],"(QTIAN)":[25],"for":[26,51],"hyperspectral":[27],"image":[28],"(HSI)":[29],"classification.":[30],"First,":[31],"data":[32,40,43],"is":[33,68,89],"mapped":[34],"to":[35,70,91],"the":[36,55,60,72,82,93,98,101,108,111],"quaternion":[37,64,83],"space":[38],"through":[39],"preprocessing":[41],"transformation,":[44],"which":[45],"provides":[46],"compact":[49],"representation":[50],"HSI":[52],"restricts":[54],"degrees":[56],"freedom":[58],"model.":[61],"Next,":[62],"module":[67],"designed":[69],"realize":[71],"interaction":[73],"fusion":[75],"global":[77,94],"local":[79],"features.":[80],"Finally,":[81],"Transformer":[84],"with":[85],"rotational":[86],"positional":[87],"embedding":[88],"utilized":[90],"modeling":[95],"capability":[96],"richness":[102],"information.":[104],"Experimental":[105],"results":[106],"demonstrate":[107],"effectiveness":[109],"proposed":[112],"algorithm.":[113]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-08-22T00:00:00"}