{"id":"https://openalex.org/W4293868167","doi":"https://doi.org/10.1109/siu55565.2022.9864719","title":"Scale-Spectral-Spatial Attention Network for Hyperspectral Image Classification","display_name":"Scale-Spectral-Spatial Attention Network for Hyperspectral Image Classification","publication_year":2022,"publication_date":"2022-05-15","ids":{"openalex":"https://openalex.org/W4293868167","doi":"https://doi.org/10.1109/siu55565.2022.9864719"},"language":"en","primary_location":{"id":"doi:10.1109/siu55565.2022.9864719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu55565.2022.9864719","pdf_url":null,"source":{"id":"https://openalex.org/S4363607818","display_name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","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":"2022 30th Signal Processing and Communications Applications Conference (SIU)","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/A5049517637","display_name":"Usama Derbashi","orcid":"https://orcid.org/0000-0001-6382-7310"},"institutions":[{"id":"https://openalex.org/I109297418","display_name":"Gebze Technical University","ror":"https://ror.org/01sdnnq10","country_code":"TR","type":"education","lineage":["https://openalex.org/I109297418"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Usama Derbashi","raw_affiliation_strings":["Gebze Technical University,Computer Engineering Department,Kocaeli,Turkey","Computer Engineering Department, Gebze Technical University, Kocaeli, Turkey"],"raw_orcid":"https://orcid.org/0000-0001-6382-7310","affiliations":[{"raw_affiliation_string":"Gebze Technical University,Computer Engineering Department,Kocaeli,Turkey","institution_ids":["https://openalex.org/I109297418"]},{"raw_affiliation_string":"Computer Engineering Department, Gebze Technical University, Kocaeli, Turkey","institution_ids":["https://openalex.org/I109297418"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026370111","display_name":"Erchan Aptoula","orcid":"https://orcid.org/0000-0001-6168-2883"},"institutions":[{"id":"https://openalex.org/I109297418","display_name":"Gebze Technical University","ror":"https://ror.org/01sdnnq10","country_code":"TR","type":"education","lineage":["https://openalex.org/I109297418"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Erchan Aptoula","raw_affiliation_strings":["Gebze Technical University,Institute of Information Technologies,Kocaeli,Turkey","Institute of Information Technologies, Gebze Technical University, Kocaeli, Turkey"],"raw_orcid":"https://orcid.org/0000-0001-6168-2883","affiliations":[{"raw_affiliation_string":"Gebze Technical University,Institute of Information Technologies,Kocaeli,Turkey","institution_ids":["https://openalex.org/I109297418"]},{"raw_affiliation_string":"Institute of Information Technologies, Gebze Technical University, Kocaeli, Turkey","institution_ids":["https://openalex.org/I109297418"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I109297418"],"apc_list":null,"apc_paid":null,"fwci":0.3567,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5177305,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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":1.0,"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":0.9948999881744385,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9919999837875366,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9175326824188232},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.7206793427467346},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7037200927734375},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6891331672668457},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6394025683403015},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6098003387451172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5945229530334473},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.5932546854019165},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49780845642089844},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4853481352329254},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.463178426027298},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4538194239139557},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4271778166294098},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13060808181762695},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.11127868294715881}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9175326824188232},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.7206793427467346},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7037200927734375},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6891331672668457},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6394025683403015},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6098003387451172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5945229530334473},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.5932546854019165},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49780845642089844},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4853481352329254},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.463178426027298},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4538194239139557},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4271778166294098},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13060808181762695},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.11127868294715881},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/siu55565.2022.9864719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu55565.2022.9864719","pdf_url":null,"source":{"id":"https://openalex.org/S4363607818","display_name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","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":"2022 30th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},{"id":"pmh:0b8042c5-f81f-495b-99a2-dcbb36595ddc","is_oa":false,"landing_page_url":"https://avesis.kocaeli.edu.tr/publication/details/0b8042c5-f81f-495b-99a2-dcbb36595ddc/oai","pdf_url":null,"source":{"id":"https://openalex.org/S7407055291","display_name":"Kocaeli \u00dcniversitesi - AVES\u0130S","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4183004989","display_name":"MULTI-variate, -temporal, -resolution and -SourCe remote sensing image Analysis and LEarning","funder_award_id":"ANR-18-CE23-0022","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1508335110","https://openalex.org/W1965309615","https://openalex.org/W2136251662","https://openalex.org/W2194775991","https://openalex.org/W2940726923","https://openalex.org/W2977002487","https://openalex.org/W2991494819","https://openalex.org/W2999446243","https://openalex.org/W3004925702","https://openalex.org/W3031696400","https://openalex.org/W3089820912","https://openalex.org/W3107591966","https://openalex.org/W3110971880","https://openalex.org/W3134321581","https://openalex.org/W3205842220","https://openalex.org/W4385245566","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W3148227991","https://openalex.org/W1486593826","https://openalex.org/W2771174107","https://openalex.org/W1536965844","https://openalex.org/W2344941099","https://openalex.org/W4322212724","https://openalex.org/W2106788855","https://openalex.org/W3081561710","https://openalex.org/W2477413883","https://openalex.org/W2463773089"],"abstract_inverted_index":{"Attention":[0],"networks":[1,4,30],"enable":[2],"neural":[3],"to":[5,47,64],"focus":[6,65],"on":[7,66],"the":[8,16,62,67],"most":[9,68],"beneficial":[10],"parts":[11],"of":[12,18],"their":[13],"input.":[14],"In":[15,35],"context":[17],"remote":[19],"sensing":[20],"image":[21],"classification,":[22],"studies":[23],"about":[24],"spatial,":[25],"spectral":[26],"and":[27],"spatial-spectral":[28,48],"attention":[29,43,49],"have":[31],"already":[32],"been":[33,55],"reported.":[34],"this":[36],"paper,":[37],"a":[38,41,82],"network":[39,63],"integrating":[40],"scale-based":[42],"module,":[44],"in":[45,59],"addition":[46],"is":[50,72],"proposed.":[51],"The":[52],"scale-space":[53],"has":[54],"produced":[56],"via":[57],"alpha-trees,":[58],"order":[60],"for":[61],"useful":[69],"scales.":[70],"It":[71],"tested":[73],"with":[74],"two":[75],"real":[76],"hyperspectral":[77],"datasets,":[78],"where":[79],"it":[80],"achieves":[81],"performance":[83],"improvement.":[84]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}