{"id":"https://openalex.org/W2977199512","doi":"https://doi.org/10.1007/s11063-019-10119-4","title":"Deep Feature Fusion for High-Resolution Aerial Scene Classification","display_name":"Deep Feature Fusion for High-Resolution Aerial Scene Classification","publication_year":2019,"publication_date":"2019-09-27","ids":{"openalex":"https://openalex.org/W2977199512","doi":"https://doi.org/10.1007/s11063-019-10119-4","mag":"2977199512"},"language":"en","primary_location":{"id":"doi:10.1007/s11063-019-10119-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11063-019-10119-4","pdf_url":null,"source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5100453933","display_name":"Heng Wang","orcid":"https://orcid.org/0000-0001-5043-9191"},"institutions":[{"id":"https://openalex.org/I4210116247","display_name":"Jingchu University of Technology","ror":"https://ror.org/037kvhq82","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210116247"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Heng Wang","raw_affiliation_strings":["School of Electronics and Information Engineering, Jingchu University of Technology, Jingmen, China"],"raw_orcid":"https://orcid.org/0000-0001-5043-9191","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Jingchu University of Technology, Jingmen, China","institution_ids":["https://openalex.org/I4210116247"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100722513","display_name":"Yunlong Yu","orcid":"https://orcid.org/0000-0002-4809-9738"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunlong Yu","raw_affiliation_strings":["Air Force Enginnering University, Xi\u2019an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Force Enginnering University, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210104252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100453933"],"corresponding_institution_ids":["https://openalex.org/I4210116247"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":0.5685,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.6855894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"51","issue":"1","first_page":"853","last_page":"865"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994000196456909,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9876000285148621,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7660889625549316},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.7494958639144897},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7012051939964294},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6361556053161621},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.6360898017883301},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5743744969367981},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5091211199760437},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.5056872367858887},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5037238001823425},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4435170888900757},{"id":"https://openalex.org/keywords/aerial-imagery","display_name":"Aerial imagery","score":0.437671422958374},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42031005024909973},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3482119143009186},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24720340967178345},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09894287586212158}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7660889625549316},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.7494958639144897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7012051939964294},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6361556053161621},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.6360898017883301},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5743744969367981},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5091211199760437},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.5056872367858887},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5037238001823425},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4435170888900757},{"id":"https://openalex.org/C2987819851","wikidata":"https://www.wikidata.org/wiki/Q191839","display_name":"Aerial imagery","level":2,"score":0.437671422958374},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42031005024909973},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3482119143009186},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24720340967178345},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09894287586212158},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical 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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11063-019-10119-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11063-019-10119-4","pdf_url":null,"source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1566135517","https://openalex.org/W1589362500","https://openalex.org/W1606858007","https://openalex.org/W1686810756","https://openalex.org/W1880262756","https://openalex.org/W1958291604","https://openalex.org/W1963631516","https://openalex.org/W1980038761","https://openalex.org/W1984309565","https://openalex.org/W1998127479","https://openalex.org/W2027922120","https://openalex.org/W2053122719","https://openalex.org/W2067178723","https://openalex.org/W2097117768","https://openalex.org/W2097836861","https://openalex.org/W2117539524","https://openalex.org/W2131846894","https://openalex.org/W2151103935","https://openalex.org/W2155893237","https://openalex.org/W2162915993","https://openalex.org/W2163352848","https://openalex.org/W2515866431","https://openalex.org/W2599857737","https://openalex.org/W2607558879","https://openalex.org/W2620429297","https://openalex.org/W2621526417","https://openalex.org/W2622409070","https://openalex.org/W2622618182","https://openalex.org/W2765668319","https://openalex.org/W2771042489","https://openalex.org/W2773521834","https://openalex.org/W2782266583","https://openalex.org/W2787070260","https://openalex.org/W2914885528","https://openalex.org/W3105577662"],"related_works":["https://openalex.org/W3110585990","https://openalex.org/W4283696875","https://openalex.org/W4385767632","https://openalex.org/W829838075","https://openalex.org/W2889866244","https://openalex.org/W2898690910","https://openalex.org/W2784132289","https://openalex.org/W4286697184","https://openalex.org/W2889700547","https://openalex.org/W3034139063"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}