{"id":"https://openalex.org/W4210801462","doi":"https://doi.org/10.3390/rs14030608","title":"Hyperspectral Image Classification Based on 3D Coordination Attention Mechanism Network","display_name":"Hyperspectral Image Classification Based on 3D Coordination Attention Mechanism Network","publication_year":2022,"publication_date":"2022-01-27","ids":{"openalex":"https://openalex.org/W4210801462","doi":"https://doi.org/10.3390/rs14030608"},"language":"en","primary_location":{"id":"doi:10.3390/rs14030608","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14030608","pdf_url":"https://www.mdpi.com/2072-4292/14/3/608/pdf?version=1643354630","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/3/608/pdf?version=1643354630","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083404607","display_name":"Cuiping Shi","orcid":"https://orcid.org/0000-0001-5877-1762"},"institutions":[{"id":"https://openalex.org/I111971639","display_name":"Qiqihar University","ror":"https://ror.org/01khf5d59","country_code":"CN","type":"education","lineage":["https://openalex.org/I111971639"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cuiping Shi","raw_affiliation_strings":["College of Communication and Electronic Engineering, Qiqihar University, Qiqihar 161000, China"],"raw_orcid":"https://orcid.org/0000-0001-5877-1762","affiliations":[{"raw_affiliation_string":"College of Communication and Electronic Engineering, Qiqihar University, Qiqihar 161000, China","institution_ids":["https://openalex.org/I111971639"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078642218","display_name":"Diling Liao","orcid":"https://orcid.org/0000-0002-8979-5246"},"institutions":[{"id":"https://openalex.org/I111971639","display_name":"Qiqihar University","ror":"https://ror.org/01khf5d59","country_code":"CN","type":"education","lineage":["https://openalex.org/I111971639"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Diling Liao","raw_affiliation_strings":["College of Communication and Electronic Engineering, Qiqihar University, Qiqihar 161000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Communication and Electronic Engineering, Qiqihar University, Qiqihar 161000, China","institution_ids":["https://openalex.org/I111971639"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425864","display_name":"Tianyu Zhang","orcid":"https://orcid.org/0000-0003-1969-2855"},"institutions":[{"id":"https://openalex.org/I111971639","display_name":"Qiqihar University","ror":"https://ror.org/01khf5d59","country_code":"CN","type":"education","lineage":["https://openalex.org/I111971639"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyu Zhang","raw_affiliation_strings":["College of Communication and Electronic Engineering, Qiqihar University, Qiqihar 161000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Communication and Electronic Engineering, Qiqihar University, Qiqihar 161000, China","institution_ids":["https://openalex.org/I111971639"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100636411","display_name":"Liguo Wang","orcid":"https://orcid.org/0000-0001-9373-6233"},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liguo Wang","raw_affiliation_strings":["College of Information and Communication Engineering, Dalian Nationalities University, Dalian 116000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Dalian Nationalities University, Dalian 116000, China","institution_ids":["https://openalex.org/I61565387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5083404607"],"corresponding_institution_ids":["https://openalex.org/I111971639"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.7311,"has_fulltext":true,"cited_by_count":34,"citation_normalized_percentile":{"value":0.93869571,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"14","issue":"3","first_page":"608","last_page":"608"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9514999985694885,"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":0.8980698585510254},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7357193231582642},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6883413791656494},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6180069446563721},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.577854335308075},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5641847848892212},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5347373485565186},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3658473491668701}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8980698585510254},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7357193231582642},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6883413791656494},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6180069446563721},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.577854335308075},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5641847848892212},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5347373485565186},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3658473491668701}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14030608","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14030608","pdf_url":"https://www.mdpi.com/2072-4292/14/3/608/pdf?version=1643354630","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c347b9d5351243cf8be2d157998f4c7a","is_oa":true,"landing_page_url":"https://doaj.org/article/c347b9d5351243cf8be2d157998f4c7a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 3, p 608 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/3/608/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14030608","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 14; Issue 3; Pages: 608","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14030608","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14030608","pdf_url":"https://www.mdpi.com/2072-4292/14/3/608/pdf?version=1643354630","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.49000000953674316},{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G4790331528","display_name":null,"funder_award_id":"41701479, 62071084","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5519049900","display_name":null,"funder_award_id":"LH2021D022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7245262983","display_name":null,"funder_award_id":"41701479","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7424700364","display_name":"\u57fa\u4e8eSVM\u7684\u9ad8\u5149\u8c31\u6570\u636e\u89e3\u6df7\u6280\u672f\u7814\u7a76","funder_award_id":"62071084","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4210801462.pdf","grobid_xml":"https://content.openalex.org/works/W4210801462.grobid-xml"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W1521436688","https://openalex.org/W1665214252","https://openalex.org/W1966580635","https://openalex.org/W1997565609","https://openalex.org/W2029316659","https://openalex.org/W2039409148","https://openalex.org/W2041100636","https://openalex.org/W2044439250","https://openalex.org/W2062964394","https://openalex.org/W2076961568","https://openalex.org/W2104896032","https://openalex.org/W2121338139","https://openalex.org/W2136251662","https://openalex.org/W2166923144","https://openalex.org/W2323917763","https://openalex.org/W2334150308","https://openalex.org/W2345128667","https://openalex.org/W2533102868","https://openalex.org/W2550553598","https://openalex.org/W2562461367","https://openalex.org/W2620858446","https://openalex.org/W2624340958","https://openalex.org/W2703067406","https://openalex.org/W2752782242","https://openalex.org/W2764207251","https://openalex.org/W2764276316","https://openalex.org/W2791006446","https://openalex.org/W2792332881","https://openalex.org/W2795396578","https://openalex.org/W2800371750","https://openalex.org/W2866634454","https://openalex.org/W2884585870","https://openalex.org/W2888119354","https://openalex.org/W2901920630","https://openalex.org/W2907100627","https://openalex.org/W2914331134","https://openalex.org/W2922088567","https://openalex.org/W2937675449","https://openalex.org/W2940678725","https://openalex.org/W2942170965","https://openalex.org/W2942454403","https://openalex.org/W2943270518","https://openalex.org/W2946747211","https://openalex.org/W2948157022","https://openalex.org/W2955058313","https://openalex.org/W2961121772","https://openalex.org/W2962770389","https://openalex.org/W2963986095","https://openalex.org/W2981394989","https://openalex.org/W3014628500","https://openalex.org/W3031696400","https://openalex.org/W3035414587","https://openalex.org/W3046027728","https://openalex.org/W3098388691","https://openalex.org/W3103092912","https://openalex.org/W3114720220","https://openalex.org/W3122774149","https://openalex.org/W3125860323","https://openalex.org/W3147679354","https://openalex.org/W4240485910","https://openalex.org/W4320339642","https://openalex.org/W6743731764","https://openalex.org/W6750035952","https://openalex.org/W6762585180","https://openalex.org/W6792858219"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W2964954556","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"In":[0,41,67,90,134,161,179],"recent":[1],"years,":[2],"due":[3,43],"to":[4,44,54,69,136,181],"its":[5],"powerful":[6],"feature":[7],"extraction":[8],"ability,":[9,35],"the":[10,24,45,71,83,108,112,118,126,138,163,169,183,220,224,243],"deep":[11,29,78],"learning":[12,30,79],"method":[13,222],"has":[14,259,265],"been":[15],"widely":[16],"used":[17],"in":[18,37,117,158],"hyperspectral":[19,50],"image":[20],"classification":[21,39,57,261],"tasks.":[22],"However,":[23],"features":[25],"extracted":[26],"by":[27,219],"classical":[28],"methods":[31],"have":[32],"limited":[33,46,60],"discrimination":[34],"resulting":[36],"unsatisfactory":[38],"performance.":[40],"addition,":[42,162],"data":[47],"samples":[48,61],"of":[49,111,115,128,143,185,189,213],"images":[51],"(HSIs),":[52],"how":[53],"achieve":[55],"high":[56],"performance":[58],"under":[59],"is":[62,99,156,166],"also":[63,124,264],"a":[64,77,93,147,187],"research":[65],"hotspot.":[66],"order":[68,135,180],"solve":[70],"above":[72],"problems,":[73],"this":[74,91,159],"paper":[75],"proposes":[76],"network":[80,88,154],"framework":[81],"named":[82],"three-dimensional":[84,94],"coordination":[85,95],"attention":[86,96,102],"mechanism":[87,97,103],"(3DCAMNet).":[89],"paper,":[92],"(3DCAM)":[98],"designed.":[100],"This":[101],"can":[104,173],"not":[105,257],"only":[106,258],"obtain":[107,125],"long-distance":[109],"dependence":[110],"spatial":[113,141],"position":[114],"HSIs":[116,144],"vertical":[119],"and":[120,140,211,232,239],"horizontal":[121],"directions,":[122],"but":[123,263],"difference":[127],"importance":[129],"between":[130],"different":[131],"spectral":[132,139],"bands.":[133],"extract":[137,174],"information":[142],"more":[145,175],"fully,":[146],"convolution":[148,170],"module":[149,165],"based":[150],"on":[151,194,223],"convolutional":[152],"neural":[153],"(CNN)":[155],"adopted":[157],"paper.":[160],"linear":[164],"introduced":[167],"after":[168],"module,":[171],"which":[172],"fine":[176],"advanced":[177,245],"features.":[178],"verify":[182],"effectiveness":[184],"3DCAMNet,":[186],"series":[188],"experiments":[190],"were":[191,227],"carried":[192],"out":[193],"five":[195,225],"datasets,":[196],"namely,":[197],"Indian":[198],"Pines":[199],"(IP),":[200],"Pavia":[201],"University":[202,212],"(UP),":[203],"Kennedy":[204],"Space":[205],"Center":[206],"(KSC),":[207],"Salinas":[208],"Valley":[209],"(SV),":[210],"Houston":[214],"(HT).":[215],"The":[216],"OAs":[217],"obtained":[218],"proposed":[221],"datasets":[226],"95.81%,":[228],"97.01%,":[229],"99.01%,":[230],"97.48%,":[231],"97.69%":[233],"respectively,":[234],"3.71%,":[235],"9.56%,":[236],"0.67%,":[237],"2.89%":[238],"0.11%":[240],"higher":[241,260],"than":[242],"most":[244],"A2S2K-ResNet.":[246],"Experimental":[247],"results":[248],"show":[249],"that,":[250],"compared":[251],"with":[252],"some":[253],"state-of-the-art":[254],"methods,":[255],"3DCAMNet":[256],"performance,":[262],"stronger":[266],"robustness.":[267]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":8}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}