{"id":"https://openalex.org/W4404222672","doi":"https://doi.org/10.54254/2755-2721/101/20240932","title":"Remote sensing image scene recognition using MobileNet","display_name":"Remote sensing image scene recognition using MobileNet","publication_year":2024,"publication_date":"2024-11-08","ids":{"openalex":"https://openalex.org/W4404222672","doi":"https://doi.org/10.54254/2755-2721/101/20240932"},"language":"en","primary_location":{"id":"doi:10.54254/2755-2721/101/20240932","doi":"https://doi.org/10.54254/2755-2721/101/20240932","is_oa":true,"landing_page_url":"http://dx.doi.org/10.54254/2755-2721/101/20240932","pdf_url":"https://ace.ewapub.com/article/view/16582.pdf","source":{"id":"https://openalex.org/S4387281889","display_name":"Applied and Computational Engineering","issn_l":"2755-2721","issn":["2755-2721","2755-273X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied and Computational Engineering","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ace.ewapub.com/article/view/16582.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112956070","display_name":"Yadong Sun","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yadong Sun","raw_affiliation_strings":["Navigation College, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Navigation College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101497695","display_name":"Wenjie Zhao","orcid":"https://orcid.org/0000-0003-4690-5609","observed_orcids":["https://orcid.org/0000-0003-4690-5609"]},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenjie Zhao","raw_affiliation_strings":["Navigation College, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Navigation College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100617624","display_name":"Jiawen Liu","orcid":"https://orcid.org/0000-0001-8673-1514","observed_orcids":["https://orcid.org/0000-0001-8673-1514"]},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawen Liu","raw_affiliation_strings":["School of Maritime Economics and Management, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Maritime Economics and Management, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101497695"],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":null,"apc_paid":null,"fwci":0.1709,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57244156,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"101","issue":"1","first_page":"19","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9848999977111816,"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":0.9848999977111816,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.012500000186264515,"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":0.0010000000474974513,"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/mobilenet","display_name":"MobileNet","score":0.9990000128746033},{"id":"https://openalex.org/keywords/lightweight-convolutional-neural-network","display_name":"lightweight convolutional neural network","score":0.9850000143051147},{"id":"https://openalex.org/keywords/computational-efficiency","display_name":"computational efficiency","score":0.8569999933242798},{"id":"https://openalex.org/keywords/model-compression","display_name":"model compression","score":0.6890000104904175},{"id":"https://openalex.org/keywords/environmental-monitoring","display_name":"environmental monitoring","score":0.4860000014305115},{"id":"https://openalex.org/keywords/disaster-response","display_name":"disaster response","score":0.7120000123977661},{"id":"https://openalex.org/keywords/urban-planning","display_name":"urban planning","score":0.7850000262260437},{"id":"https://openalex.org/keywords/precision-agriculture","display_name":"precision agriculture","score":0.996999979019165}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5630741119384766},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5595335364341736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5387299060821533},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5234935879707336},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48987239599227905},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3809491991996765},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18554869294166565}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.54254/2755-2721/101/20240932","doi":"https://doi.org/10.54254/2755-2721/101/20240932","is_oa":true,"landing_page_url":"http://dx.doi.org/10.54254/2755-2721/101/20240932","pdf_url":"https://ace.ewapub.com/article/view/16582.pdf","source":{"id":"https://openalex.org/S4387281889","display_name":"Applied and Computational Engineering","issn_l":"2755-2721","issn":["2755-2721","2755-273X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied and Computational Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.54254/2755-2721/101/20240932","doi":"https://doi.org/10.54254/2755-2721/101/20240932","is_oa":true,"landing_page_url":"http://dx.doi.org/10.54254/2755-2721/101/20240932","pdf_url":"https://ace.ewapub.com/article/view/16582.pdf","source":{"id":"https://openalex.org/S4387281889","display_name":"Applied and Computational Engineering","issn_l":"2755-2721","issn":["2755-2721","2755-273X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied and Computational Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404222672.pdf","grobid_xml":"https://content.openalex.org/works/W4404222672.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Remote":[0],"sensing":[1,64,140],"image":[2,65],"scene":[3,66,162],"recognition":[4,163],"plays":[5],"a":[6,58,98,132],"pivotal":[7],"role":[8],"in":[9,23,138,165],"various":[10],"applications,":[11],"including":[12],"environmental":[13],"monitoring,":[14],"disaster":[15],"response,":[16],"urban":[17],"planning,":[18],"precision":[19],"agriculture,":[20],"and":[21,26,38,47,75,103,122,129],"aids":[22],"resource":[24],"management":[25],"policy":[27],"formulation.":[28],"However,":[29],"utilizing":[30],"established":[31],"convolutional":[32],"neural":[33],"networks(CNNs)":[34],"models":[35],"like":[36],"AlexNet":[37],"VGG9":[39],"for":[40,62,135,160],"this":[41],"task":[42],"can":[43],"be":[44],"computationally":[45],"intensive":[46],"time-consuming":[48],"due":[49],"to":[50],"their":[51],"extensive":[52],"parameter":[53],"requirements.":[54],"This":[55,68],"dissertation":[56],"introduces":[57],"MobileNet-based":[59],"CNN":[60],"optimized":[61],"remote":[63,139,169],"recognition.":[67],"lightweight":[69],"model":[70,76],"significantly":[71],"reduces":[72],"computational":[73,153],"load":[74],"size":[77],"without":[78],"compromising":[79],"accuracy,":[80],"thereby":[81],"enhancing":[82],"efficiency.":[83],"Empirical":[84],"results":[85],"on":[86,109],"the":[87,110,150,166],"NWPU45":[88],"dataset":[89],"demonstrate":[90],"MobileNet's":[91,114],"superiority,":[92],"achieving":[93],"an":[94,104],"accuracy":[95],"of":[96,101,107,152,168],"91.16%,":[97],"Kappa":[99],"coefficient":[100],"90.96%,":[102],"F1":[105],"score":[106],"91.16%":[108],"test":[111],"set.":[112],"Moreover,":[113],"compact":[115],"architecture,":[116],"with":[117],"merely":[118],"3.2531":[119],"million":[120,124],"parameters":[121],"587.9342":[123],"FLOPs,":[125],"underscores":[126],"its":[127],"efficiency":[128],"makes":[130],"it":[131],"promising":[133],"candidate":[134],"practical":[136],"deployment":[137],"applications.":[141],"The":[142],"findings":[143],"suggest":[144],"that":[145],"MobileNet":[146],"not":[147],"only":[148],"addresses":[149],"challenge":[151],"intensity":[154],"but":[155],"also":[156],"opens":[157],"new":[158],"avenues":[159],"advancing":[161],"technology":[164],"field":[167],"sensing.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-23T07:36:19.812096","created_date":"2025-10-10T00:00:00"}