{"id":"https://openalex.org/W3181391941","doi":"https://doi.org/10.1109/tip.2021.3092816","title":"Local Semantic Enhanced ConvNet for Aerial Scene Recognition","display_name":"Local Semantic Enhanced ConvNet for Aerial Scene Recognition","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3181391941","doi":"https://doi.org/10.1109/tip.2021.3092816","mag":"3181391941","pmid":"https://pubmed.ncbi.nlm.nih.gov/34236963"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2021.3092816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3092816","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5035415308","display_name":"Qi Bi","orcid":"https://orcid.org/0000-0002-1047-4790"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Bi","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-1047-4790","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101514497","display_name":"Kun Qin","orcid":"https://orcid.org/0000-0002-4088-1637"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Qin","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100399297","display_name":"Han Zhang","orcid":"https://orcid.org/0000-0002-2569-987X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Zhang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073032922","display_name":"Gui-Song Xia","orcid":"https://orcid.org/0000-0001-7660-6090"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gui-Song Xia","raw_affiliation_strings":["Institute of Artificial Intelligence, Wuhan University, Wuhan, China","National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China","State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-7660-6090","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.243,"has_fulltext":false,"cited_by_count":82,"citation_normalized_percentile":{"value":0.96931505,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"30","issue":null,"first_page":"6498","last_page":"6511"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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":0.9980999827384949,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7674230337142944},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7303879261016846},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6233069896697998},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5512915849685669},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5153459906578064},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.507815420627594},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.45502787828445435},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4383958578109741},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.42789649963378906},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1251172423362732}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7674230337142944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7303879261016846},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6233069896697998},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5512915849685669},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5153459906578064},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.507815420627594},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.45502787828445435},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4383958578109741},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.42789649963378906},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1251172423362732},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2021.3092816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3092816","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:34236963","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34236963","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2099902736","display_name":null,"funder_award_id":"61771350","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2530474945","display_name":null,"funder_award_id":"U2033216","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2969037162","display_name":null,"funder_award_id":"61922065","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6224760140","display_name":null,"funder_award_id":"2019AEA170","funder_id":"https://openalex.org/F4320336744","funder_display_name":"Science and Technology Program of Hubei Province"},{"id":"https://openalex.org/G7516027415","display_name":null,"funder_award_id":"U1833201","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"},{"id":"https://openalex.org/F4320336744","display_name":"Science and Technology Program of Hubei Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":79,"referenced_works":["https://openalex.org/W280294731","https://openalex.org/W1514535095","https://openalex.org/W1686810756","https://openalex.org/W1912954554","https://openalex.org/W1976977741","https://openalex.org/W1978563198","https://openalex.org/W1980038761","https://openalex.org/W1988805924","https://openalex.org/W2010632104","https://openalex.org/W2012521891","https://openalex.org/W2017448754","https://openalex.org/W2037163072","https://openalex.org/W2040648426","https://openalex.org/W2041972612","https://openalex.org/W2053315601","https://openalex.org/W2063587308","https://openalex.org/W2097117768","https://openalex.org/W2098676252","https://openalex.org/W2120782420","https://openalex.org/W2131386954","https://openalex.org/W2141362318","https://openalex.org/W2170426384","https://openalex.org/W2253590344","https://openalex.org/W2294802479","https://openalex.org/W2298672219","https://openalex.org/W2412782625","https://openalex.org/W2515866431","https://openalex.org/W2531897166","https://openalex.org/W2550553598","https://openalex.org/W2559918205","https://openalex.org/W2563764042","https://openalex.org/W2583578793","https://openalex.org/W2592165076","https://openalex.org/W2592962403","https://openalex.org/W2620958690","https://openalex.org/W2621526417","https://openalex.org/W2727875856","https://openalex.org/W2746325398","https://openalex.org/W2758333383","https://openalex.org/W2764034829","https://openalex.org/W2769613401","https://openalex.org/W2782522152","https://openalex.org/W2783165089","https://openalex.org/W2785934082","https://openalex.org/W2793974508","https://openalex.org/W2829067510","https://openalex.org/W2890732922","https://openalex.org/W2902184095","https://openalex.org/W2910992787","https://openalex.org/W2962749812","https://openalex.org/W2962850830","https://openalex.org/W2963311325","https://openalex.org/W2963378109","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W2963588298","https://openalex.org/W2964069537","https://openalex.org/W2964979676","https://openalex.org/W2969689033","https://openalex.org/W2971242449","https://openalex.org/W2991359031","https://openalex.org/W2991682101","https://openalex.org/W2999338704","https://openalex.org/W3002301267","https://openalex.org/W3033488931","https://openalex.org/W3100892511","https://openalex.org/W3103856189","https://openalex.org/W3105577662","https://openalex.org/W3106105822","https://openalex.org/W3114152269","https://openalex.org/W3152083889","https://openalex.org/W4297772692","https://openalex.org/W6630875275","https://openalex.org/W6637373629","https://openalex.org/W6679699912","https://openalex.org/W6730052861","https://openalex.org/W6747701563","https://openalex.org/W6767545893","https://openalex.org/W6781120584"],"related_works":["https://openalex.org/W2404514746","https://openalex.org/W1652783584","https://openalex.org/W2082783427","https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640"],"abstract_inverted_index":{"Aerial":[0],"scene":[1,59,212],"recognition":[2],"is":[3,180],"challenging":[4],"due":[5],"to":[6,22,35,43,111,124,159,182],"the":[7,24,38,63,75,127,162,170,184,192,196,204,220,225],"complicated":[8],"object":[9],"distribution":[10],"and":[11,99,114,169,233],"spatial":[12,176],"arrangement":[13],"in":[14,71,74,118,122,131],"a":[15,51,79,88,94,100,106,119,152,175],"large-scale":[16],"aerial":[17,58,72,133,193,211],"image.":[18],"Recent":[19],"studies":[20],"attempt":[21],"explore":[23],"local":[25,40,52,69,81,95,128,143,167,189,229],"semantic":[26,53,82,96,144,230],"representation":[27],"capability":[28],"of":[29,67,77,87,165,186,227],"deep":[30],"learning":[31],"models,":[32],"but":[33],"how":[34],"exactly":[36],"perceive":[37],"key":[39,68,166,188],"regions":[41,70,168],"remains":[42],"be":[44],"handled.":[45],"In":[46,147],"this":[47,148],"paper,":[48],"we":[49,104,150],"present":[50],"enhanced":[54,90],"ConvNet":[55],"(LSE-Net)":[56],"for":[57,191],"recognition,":[60],"which":[61,223],"mimics":[62],"human":[64],"visual":[65,163],"perception":[66,97,145,231],"scenes,":[73],"hope":[76],"building":[78],"discriminative":[80],"representation.":[83],"Our":[84],"LSE-Net":[85,218],"consists":[86],"context":[89,172],"convolutional":[91,116],"feature":[92,129],"extractor,":[93],"module":[98,232],"classification":[101,205,213],"layer.":[102,206],"Firstly,":[103],"design":[105,151],"multi-scale":[107,115],"dilated":[108],"convolution":[109],"operators":[110],"fuse":[112],"multi-level":[113],"features":[117,137],"trainable":[120],"manner":[121],"order":[123],"fully":[125],"receive":[126],"responses":[130],"an":[132],"scene.":[134,194],"Then,":[135],"these":[136],"are":[138,201],"fed":[139,202],"into":[140,203],"our":[141,217,228],"two-branch":[142],"module.":[146],"module,":[149],"context-aware":[153],"class":[154,198],"peak":[155],"response":[156],"(CACPR)":[157],"measurement":[158],"precisely":[160],"depict":[161],"impulse":[164],"corresponding":[171],"information.":[173],"Also,":[174],"attention":[177],"weight":[178],"matrix":[179],"extracted":[181],"describe":[183],"importance":[185],"each":[187],"region":[190],"Finally,":[195],"refined":[197],"confidence":[199],"maps":[200],"Exhaustive":[207],"experiments":[208],"on":[209],"three":[210],"benchmarks":[214],"indicate":[215],"that":[216],"achieves":[219],"state-of-the-art":[221],"performance,":[222],"validates":[224],"effectiveness":[226],"CACPR":[234],"measurement.":[235]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
