{"id":"https://openalex.org/W3127748892","doi":"https://doi.org/10.1109/access.2021.3057868","title":"Urban Remote Sensing Scene Recognition Based on Lightweight Convolution Neural Network","display_name":"Urban Remote Sensing Scene Recognition Based on Lightweight Convolution Neural Network","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3127748892","doi":"https://doi.org/10.1109/access.2021.3057868","mag":"3127748892"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3057868","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3057868","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09350251.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09350251.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061572590","display_name":"Jingming Xia","orcid":"https://orcid.org/0000-0002-8162-7125"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingming Xia","raw_affiliation_strings":["School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101481714","display_name":"Yue Ding","orcid":"https://orcid.org/0000-0001-6595-6247"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Ding","raw_affiliation_strings":["School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101527632","display_name":"Ling Tan","orcid":"https://orcid.org/0000-0002-1600-9814"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Tan","raw_affiliation_strings":["School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061572590"],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.3899,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.82899893,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"9","issue":null,"first_page":"26377","last_page":"26387"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9987999796867371,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.7747123837471008},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7471728324890137},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6983322501182556},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6054534912109375},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.539309024810791},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5299739837646484},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5228448510169983},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5145692229270935},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4948245882987976},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4075588285923004},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32541295886039734},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32493874430656433},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10197362303733826}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7747123837471008},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7471728324890137},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6983322501182556},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6054534912109375},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.539309024810791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5299739837646484},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5228448510169983},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5145692229270935},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4948245882987976},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4075588285923004},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32541295886039734},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32493874430656433},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10197362303733826},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3057868","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3057868","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09350251.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7e71d49cf5664b5dbee12261c6f1a5fc","is_oa":true,"landing_page_url":"https://doaj.org/article/7e71d49cf5664b5dbee12261c6f1a5fc","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":"IEEE Access, Vol 9, Pp 26377-26387 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3057868","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3057868","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09350251.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"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/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/G4321426763","display_name":null,"funder_award_id":"41505017","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"}],"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/W3127748892.pdf","grobid_xml":"https://content.openalex.org/works/W3127748892.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1605862214","https://openalex.org/W1686810756","https://openalex.org/W1799366690","https://openalex.org/W1977946650","https://openalex.org/W2029316659","https://openalex.org/W2040812261","https://openalex.org/W2052160904","https://openalex.org/W2101051003","https://openalex.org/W2103079830","https://openalex.org/W2140840645","https://openalex.org/W2179290474","https://openalex.org/W2294802479","https://openalex.org/W2592962403","https://openalex.org/W2598551616","https://openalex.org/W2605486153","https://openalex.org/W2609077090","https://openalex.org/W2612445135","https://openalex.org/W2768879326","https://openalex.org/W2783231089","https://openalex.org/W2803946774","https://openalex.org/W2804132729","https://openalex.org/W2961121772","https://openalex.org/W2966751049","https://openalex.org/W2974035141","https://openalex.org/W2991394429","https://openalex.org/W2995339591","https://openalex.org/W3008156909","https://openalex.org/W3009297390","https://openalex.org/W3010292155","https://openalex.org/W3011147769","https://openalex.org/W3012456963","https://openalex.org/W3014323018","https://openalex.org/W3016258619","https://openalex.org/W3022140654","https://openalex.org/W3035821597","https://openalex.org/W3103856189","https://openalex.org/W4297775537","https://openalex.org/W4391589970","https://openalex.org/W6637373629","https://openalex.org/W6638444622","https://openalex.org/W6737664043","https://openalex.org/W6779701353"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W147410782","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W3103989898","https://openalex.org/W4401096132","https://openalex.org/W2964954556"],"abstract_inverted_index":{"The":[0,90],"use":[1,25],"rate":[2],"of":[3,43,74,86],"urban":[4,12,23],"land":[5,24],"is":[6,37,66,95,139],"a":[7,30],"significant":[8],"sign":[9],"to":[10,39,57,68,83,97,101],"evaluate":[11],"construction,":[13],"and":[14,113,121,124,130,147],"scene":[15],"recognition":[16,126,145],"has":[17],"important":[18],"application":[19],"value":[20],"in":[21,144],"improving":[22],"rate.":[26],"In":[27],"this":[28,137],"paper,":[29],"new":[31],"lightweight":[32],"model":[33,52,148],"based":[34],"on":[35,115],"VGG16":[36],"proposed":[38],"extract":[40],"distinct":[41],"features":[42],"remote":[44],"sensing":[45],"images":[46],"through":[47],"five":[48],"convolution":[49,56,76],"modules.":[50],"This":[51,109],"uses":[53],"depthwise":[54],"separable":[55],"reduce":[58],"the":[59,70,75,80,84,87,99,103,125],"network":[60,81],"parameters.":[61],"An":[62],"adaptive":[63],"pooling":[64,93],"layer":[65,94],"added":[67],"solve":[69],"inherent":[71],"non-adaptive":[72],"problem":[73],"network.":[77],"It":[78],"makes":[79],"insensitive":[82],"size":[85],"input":[88,104],"image.":[89],"global":[91],"average":[92],"used":[96],"sum":[98],"information":[100],"make":[102],"spatial":[105],"transformation":[106],"more":[107],"stable.":[108],"paper":[110],"conducts":[111],"training":[112],"testing":[114],"two":[116],"data":[117],"sets,":[118],"NWPU-RESISC45":[119],"Dataset":[120],"SIRI-WHU":[122],"Dataset,":[123],"scenarios":[127],"are":[128],"13":[129],"12":[131],"categories.":[132],"Experimental":[133],"results":[134],"show":[135],"that":[136],"method":[138],"better":[140],"than":[141],"other":[142],"models":[143],"accuracy":[146],"size.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
