{"id":"https://openalex.org/W4205127446","doi":"https://doi.org/10.3390/rs14010161","title":"A Lightweight Convolutional Neural Network Based on Group-Wise Hybrid Attention for Remote Sensing Scene Classification","display_name":"A Lightweight Convolutional Neural Network Based on Group-Wise Hybrid Attention for Remote Sensing Scene Classification","publication_year":2021,"publication_date":"2021-12-30","ids":{"openalex":"https://openalex.org/W4205127446","doi":"https://doi.org/10.3390/rs14010161"},"language":"en","primary_location":{"id":"doi:10.3390/rs14010161","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14010161","pdf_url":"https://www.mdpi.com/2072-4292/14/1/161/pdf?version=1640968405","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/2072-4292/14/1/161/pdf?version=1640968405","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"],"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/A5100706351","display_name":"Xinlei Zhang","orcid":"https://orcid.org/0000-0002-3361-5269"},"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":"Xinlei Zhang","raw_affiliation_strings":["College of Communication and Electronic Engineering, Qiqihar University, Qiqihar 161000, China"],"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/A5103082251","display_name":"Jingwei Sun","orcid":"https://orcid.org/0000-0001-7058-5794"},"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":"Jingwei Sun","raw_affiliation_strings":["College of Communication and Electronic Engineering, Qiqihar University, Qiqihar 161000, China"],"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"],"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":4,"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":1.1372,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.81320508,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"14","issue":"1","first_page":"161","last_page":"161"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9941999912261963,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9900000095367432,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7956153154373169},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6189479827880859},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6185011863708496},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5879490971565247},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.531391978263855},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4922620356082916},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4527556598186493},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3423845171928406},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10119771957397461},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07277172803878784}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7956153154373169},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6189479827880859},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6185011863708496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5879490971565247},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.531391978263855},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4922620356082916},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4527556598186493},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3423845171928406},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10119771957397461},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07277172803878784},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14010161","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14010161","pdf_url":"https://www.mdpi.com/2072-4292/14/1/161/pdf?version=1640968405","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:e06dd25f063a4522a8f324bd35e68757","is_oa":true,"landing_page_url":"https://doaj.org/article/e06dd25f063a4522a8f324bd35e68757","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 1, p 161 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/1/161/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14010161","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 1; Pages: 161","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14010161","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14010161","pdf_url":"https://www.mdpi.com/2072-4292/14/1/161/pdf?version=1640968405","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":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2476221792","display_name":null,"funder_award_id":"Heilongjiang","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2597241485","display_name":null,"funder_award_id":"2021D02","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3010680718","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/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"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/G5994120800","display_name":null,"funder_award_id":"Natural","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":null,"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/W4205127446.pdf","grobid_xml":"https://content.openalex.org/works/W4205127446.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1903029394","https://openalex.org/W1958291604","https://openalex.org/W1980038761","https://openalex.org/W2113325037","https://openalex.org/W2135254996","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2302255633","https://openalex.org/W2475283175","https://openalex.org/W2515866431","https://openalex.org/W2549139847","https://openalex.org/W2592962403","https://openalex.org/W2715220489","https://openalex.org/W2752782242","https://openalex.org/W2780334404","https://openalex.org/W2783165089","https://openalex.org/W2829067510","https://openalex.org/W2883780447","https://openalex.org/W2884585870","https://openalex.org/W2890732922","https://openalex.org/W2912089046","https://openalex.org/W2919352650","https://openalex.org/W2919863836","https://openalex.org/W2920232463","https://openalex.org/W2922509574","https://openalex.org/W2923696186","https://openalex.org/W2937188477","https://openalex.org/W2940939359","https://openalex.org/W2944302759","https://openalex.org/W2944715228","https://openalex.org/W2948329096","https://openalex.org/W2954156245","https://openalex.org/W2962217138","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2970844248","https://openalex.org/W2972505576","https://openalex.org/W2974770574","https://openalex.org/W3004916592","https://openalex.org/W3012429074","https://openalex.org/W3019448917","https://openalex.org/W3023931079","https://openalex.org/W3042980694","https://openalex.org/W3043257208","https://openalex.org/W3044492802","https://openalex.org/W3080321686","https://openalex.org/W3095319281","https://openalex.org/W3103410140","https://openalex.org/W3105577662","https://openalex.org/W3118660027","https://openalex.org/W3168972675","https://openalex.org/W3171427178","https://openalex.org/W3205865791","https://openalex.org/W3217526930","https://openalex.org/W6620707391","https://openalex.org/W6684191040","https://openalex.org/W6796589177","https://openalex.org/W6797162749","https://openalex.org/W6802341056","https://openalex.org/W6804892872"],"related_works":["https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4239306820","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W2947043951","https://openalex.org/W4399188509","https://openalex.org/W2318112981","https://openalex.org/W4210874298"],"abstract_inverted_index":{"With":[0],"the":[1,13,34,43,64,91,95,102,110,116,132,139,144,150,153,163,166,170,174,177,182,190,196,200,214,237],"development":[2],"of":[3,15,37,45,50,165,176,184,189,199,245,254],"computer":[4],"vision,":[5],"attention":[6,17,39,70,74,85,88,96,117,122,129,146,180,217],"mechanisms":[7],"have":[8],"been":[9],"widely":[10],"studied.":[11],"Although":[12],"introduction":[14,36],"an":[16,38],"module":[18,40,71,75,123,130],"into":[19,135],"a":[20,68,119,205,250],"network":[21,191,201,209],"model":[22,46,55],"can":[23,41],"help":[24],"to":[25,100,108,148],"improve":[26],"classification":[27,246],"performance":[28],"on":[29,213,226],"remote":[30,220,231],"sensing":[31,221,232],"scene":[32,222,233],"images,":[33],"direct":[35],"increase":[42,111],"number":[44,183,253],"parameters":[47,113,185],"and":[48,72,86,90,155,186,195,229],"amount":[49],"calculation,":[51],"resulting":[52],"in":[53,112,152,243],"slower":[54],"operations.":[56],"To":[57],"solve":[58],"this":[59],"problem,":[60],"we":[61],"carried":[62],"out":[63],"following":[65],"work.":[66],"First,":[67],"channel":[69,84,140,154,171],"spatial":[73,87,156],"were":[76,81,98,192],"constructed.":[77,125],"The":[78,126],"input":[79,133],"features":[80,92,103,134,151,164],"enhanced":[82],"through":[83],"separately,":[89],"recalibrated":[93],"by":[94,115],"modules":[97],"fused":[99,162],"obtain":[101],"with":[104,249],"hybrid":[105,121,128,145,179,216],"attention.":[106],"Then,":[107],"reduce":[109],"caused":[114],"module,":[118,181],"group-wise":[120,127,178,215],"was":[124,202,210],"divided":[131],"four":[136,167,227],"groups":[137,168],"along":[138,169],"dimension,":[141],"then":[142,161],"used":[143],"mechanism":[147],"enhance":[149],"dimensions":[157],"for":[158,219],"each":[159],"group,":[160],"dimension.":[172],"Through":[173],"use":[175],"computational":[187],"burden":[188],"greatly":[193],"reduced,":[194],"running":[197],"time":[198],"shortened.":[203],"Finally,":[204],"lightweight":[206],"convolutional":[207],"neural":[208],"constructed":[211],"based":[212],"(LCNN-GWHA)":[218],"image":[223],"classification.":[224],"Experiments":[225],"open":[228],"challenging":[230],"datasets":[234],"demonstrated":[235],"that":[236],"proposed":[238],"method":[239],"has":[240],"great":[241],"advantages,":[242],"terms":[244],"accuracy,":[247],"even":[248],"very":[251],"low":[252],"parameters.":[255]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2022-01-25T00:00:00"}