{"id":"https://openalex.org/W3114524000","doi":"https://doi.org/10.1109/tnnls.2021.3106391","title":"MGML: Multigranularity Multilevel Feature Ensemble Network for Remote Sensing Scene Classification","display_name":"MGML: Multigranularity Multilevel Feature Ensemble Network for Remote Sensing Scene Classification","publication_year":2021,"publication_date":"2021-09-01","ids":{"openalex":"https://openalex.org/W3114524000","doi":"https://doi.org/10.1109/tnnls.2021.3106391","mag":"3114524000","pmid":"https://pubmed.ncbi.nlm.nih.gov/34469317"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2021.3106391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3106391","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2012.14569","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101722127","display_name":"Qi Zhao","orcid":"https://orcid.org/0000-0002-3508-027X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Zhao","raw_affiliation_strings":["Department of Electronics and Information Engineering, Beihang University, Beijing, China","Beihang University)"],"raw_orcid":"https://orcid.org/0000-0002-3508-027X","affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Beihang University)","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029244560","display_name":"Shuchang Lyu","orcid":"https://orcid.org/0000-0001-9769-7083"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuchang Lyu","raw_affiliation_strings":["Department of Electronics and Information Engineering, Beihang University, Beijing, China","Beihang University)"],"raw_orcid":"https://orcid.org/0000-0001-9769-7083","affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Beihang University)","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103188017","display_name":"Yuewen Li","orcid":"https://orcid.org/0000-0003-0284-6264"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuewen Li","raw_affiliation_strings":["Department of Electronics and Information Engineering, Beihang University, Beijing, China","Beihang University)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Beihang University)","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085759530","display_name":"Yujing Ma","orcid":"https://orcid.org/0000-0003-1145-6364"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujing Ma","raw_affiliation_strings":["Department of Electronics and Information Engineering, Beihang University, Beijing, China","Beihang University)"],"raw_orcid":"https://orcid.org/0000-0003-1145-6364","affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Beihang University)","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101457698","display_name":"Lijiang Chen","orcid":"https://orcid.org/0000-0001-7732-3527"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijiang Chen","raw_affiliation_strings":["Department of Electronics and Information Engineering, Beihang University, Beijing, China","Beihang University)"],"raw_orcid":"https://orcid.org/0000-0001-7732-3527","affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Beihang University)","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.2942,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55883873,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"34","issue":"5","first_page":"2308","last_page":"2322"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.996999979019165,"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":0.9955999851226807,"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/granularity","display_name":"Granularity","score":0.8650078773498535},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7522337436676025},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.747807502746582},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.688990592956543},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4888388514518738},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4705550968647003},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.46989890933036804},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4533421993255615},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.451956182718277},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44681504368782043},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4373724162578583},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4186384379863739},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0676639974117279}],"concepts":[{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.8650078773498535},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7522337436676025},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.747807502746582},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.688990592956543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4888388514518738},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4705550968647003},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.46989890933036804},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4533421993255615},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.451956182718277},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44681504368782043},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4373724162578583},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4186384379863739},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0676639974117279},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tnnls.2021.3106391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3106391","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:34469317","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34469317","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 neural networks and learning systems","raw_type":null},{"id":"pmh:oai:arXiv.org:2012.14569","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2012.14569","pdf_url":"https://arxiv.org/pdf/2012.14569","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3114524000","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2012.14569","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2012.14569","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2012.14569","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2012.14569","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2012.14569","pdf_url":"https://arxiv.org/pdf/2012.14569","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G169159138","display_name":null,"funder_award_id":"62072021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8827780555","display_name":null,"funder_award_id":"YWF-21-BJ-J-534","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":86,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1686810756","https://openalex.org/W1797268635","https://openalex.org/W1905692714","https://openalex.org/W1928906481","https://openalex.org/W1980038761","https://openalex.org/W1989316905","https://openalex.org/W2017814585","https://openalex.org/W2066921105","https://openalex.org/W2073201137","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2109255472","https://openalex.org/W2134670479","https://openalex.org/W2151103935","https://openalex.org/W2154451793","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2202499615","https://openalex.org/W2207849498","https://openalex.org/W2213075807","https://openalex.org/W2248723555","https://openalex.org/W2253590344","https://openalex.org/W2256837533","https://openalex.org/W2302255633","https://openalex.org/W2303475025","https://openalex.org/W2347115704","https://openalex.org/W2395611524","https://openalex.org/W2515866431","https://openalex.org/W2592962403","https://openalex.org/W2607558879","https://openalex.org/W2609402060","https://openalex.org/W2617297862","https://openalex.org/W2715220489","https://openalex.org/W2727875856","https://openalex.org/W2737725206","https://openalex.org/W2773003563","https://openalex.org/W2783165089","https://openalex.org/W2786225488","https://openalex.org/W2792365373","https://openalex.org/W2796258071","https://openalex.org/W2799466885","https://openalex.org/W2807931652","https://openalex.org/W2829067510","https://openalex.org/W2890732922","https://openalex.org/W2892830084","https://openalex.org/W2898108274","https://openalex.org/W2902184095","https://openalex.org/W2914757358","https://openalex.org/W2922509574","https://openalex.org/W2948384918","https://openalex.org/W2955425717","https://openalex.org/W2955950606","https://openalex.org/W2962217138","https://openalex.org/W2962749812","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W2981854972","https://openalex.org/W2982083293","https://openalex.org/W2983384552","https://openalex.org/W2995942064","https://openalex.org/W3007398051","https://openalex.org/W3014060899","https://openalex.org/W3015063979","https://openalex.org/W3017622525","https://openalex.org/W3028752951","https://openalex.org/W3043257208","https://openalex.org/W3088979451","https://openalex.org/W3101627915","https://openalex.org/W3103856189","https://openalex.org/W3105577662","https://openalex.org/W3118608800","https://openalex.org/W3118660027","https://openalex.org/W3119784490","https://openalex.org/W3161512561","https://openalex.org/W6637373629","https://openalex.org/W6638319203","https://openalex.org/W6638677478","https://openalex.org/W6640376812","https://openalex.org/W6679792166","https://openalex.org/W6684191040","https://openalex.org/W6738239618","https://openalex.org/W6755020103","https://openalex.org/W6756314655","https://openalex.org/W6762718338","https://openalex.org/W6772261133"],"related_works":["https://openalex.org/W2885971559","https://openalex.org/W3161756727","https://openalex.org/W2567026239","https://openalex.org/W3105847136","https://openalex.org/W3185705915","https://openalex.org/W3200126366","https://openalex.org/W3015276760","https://openalex.org/W3127901790","https://openalex.org/W3027134841","https://openalex.org/W2965434755","https://openalex.org/W3125723491","https://openalex.org/W3128223809","https://openalex.org/W2972519325","https://openalex.org/W3039825778","https://openalex.org/W3017267403","https://openalex.org/W2911631403","https://openalex.org/W3092168486","https://openalex.org/W2946066538","https://openalex.org/W2984009799","https://openalex.org/W3164715703"],"abstract_inverted_index":{"Remote":[0],"sensing":[1],"(RS)":[2],"scene":[3,11,62],"classification":[4,63,151],"is":[5],"a":[6,50,100],"challenging":[7],"task":[8,64],"to":[9,57,77,118,127],"predict":[10],"categories":[12],"of":[13,84,183],"RS":[14,16,61,155],"images.":[15],"images":[17],"have":[18,124],"two":[19,46],"main":[20],"issues:":[21],"large":[22,27,34],"intraclass":[23],"variance":[24,29],"caused":[25],"by":[26,86,112],"resolution":[28],"and":[30,131,160],"confusing":[31,96],"information":[32,130],"from":[33,43,95],"geographic":[35],"covering":[36],"area.":[37],"To":[38,91],"ease":[39],"the":[40,44,60,93,125,137,180],"negative":[41],"influence":[42],"above":[45],"issues.":[47],"We":[48],"propose":[49,70,99],"multigranularity":[51,71,79,101],"multilevel":[52,72,102],"feature":[53,73,88,103,114],"ensemble":[54,104,138],"network":[55,85],"(MGML-FENet)":[56],"efficiently":[58],"tackle":[59],"in":[65,81],"this":[66],"article.":[67],"Specifically,":[68],"we":[69,98],"fusion":[74],"branch":[75],"(MGML-FFB)":[76],"extract":[78],"features":[80],"different":[82],"levels":[83],"channel-separate":[87],"generator":[89,115],"(CS-FG).":[90],"avoid":[92],"interference":[94],"information,":[97],"module":[105],"(MGML-FEM),":[106],"which":[107],"can":[108,144],"provide":[109],"diverse":[110],"predictions":[111],"full-channel":[113],"(FC-FG).":[116],"Compared":[117],"previous":[119,171],"methods,":[120],"our":[121,141,164],"proposed":[122,142,165],"networks":[123,166],"ability":[126],"use":[128],"structure":[129],"abundant":[132],"fine-grained":[133],"features.":[134],"Furthermore,":[135],"through":[136],"learning":[139],"method,":[140],"MGML-FENets":[143],"obtain":[145],"more":[146],"convincing":[147],"final":[148],"predictions.":[149],"Extensive":[150],"experiments":[152],"on":[153],"multiple":[154],"datasets":[156],"(AID,":[157],"NWPU-RESISC45,":[158],"UC-Merced,":[159],"VGoogle)":[161],"demonstrate":[162],"that":[163],"achieve":[167],"better":[168],"performance":[169],"than":[170],"state-of-the-art":[172],"(SOTA)":[173],"networks.":[174],"The":[175],"visualization":[176],"analysis":[177],"also":[178],"shows":[179],"good":[181],"interpretability":[182],"MGML-FENet.":[184]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}