{"id":"https://openalex.org/W3130510369","doi":"https://doi.org/10.1109/igarss39084.2020.9324139","title":"Remote Sensing Scene Classification Using Spatial Transformer Fusion Network","display_name":"Remote Sensing Scene Classification Using Spatial Transformer Fusion Network","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3130510369","doi":"https://doi.org/10.1109/igarss39084.2020.9324139","mag":"3130510369"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9324139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-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/A5109201129","display_name":"Shun Tong","orcid":null},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shun Tong","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences (Wuhan), Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences (Wuhan), Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075750152","display_name":"Kunlun Qi","orcid":"https://orcid.org/0000-0001-9954-3467"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kunlun Qi","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences (Wuhan), Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences (Wuhan), Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063647157","display_name":"Qingfeng Guan","orcid":"https://orcid.org/0000-0002-7392-3709"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingfeng Guan","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences (Wuhan), Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences (Wuhan), Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079862010","display_name":"Qiqi Zhu","orcid":"https://orcid.org/0000-0002-5339-0829"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiqi Zhu","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences (Wuhan), Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences (Wuhan), Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100749334","display_name":"Chao Yang","orcid":"https://orcid.org/0000-0003-0406-7598"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Yang","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences (Wuhan), Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences (Wuhan), Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101811770","display_name":"Jie Zheng","orcid":"https://orcid.org/0000-0003-2402-1263"},"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":"Jie Zheng","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7652,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.79928837,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"549","last_page":"552"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.996999979019165,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9897000193595886,"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":0.7367449998855591},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5912591218948364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5835359692573547},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5749549269676208},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5646876692771912},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.558481752872467},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.4917192757129669},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4602915048599243},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.4546651244163513},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4345241189002991},{"id":"https://openalex.org/keywords/remote-sensing-application","display_name":"Remote sensing application","score":0.4342157542705536},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41656970977783203},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41654354333877563},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4121342897415161},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3210042119026184},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22322160005569458},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.133786141872406},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08737915754318237},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.08406174182891846}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7367449998855591},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5912591218948364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5835359692573547},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5749549269676208},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5646876692771912},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.558481752872467},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.4917192757129669},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4602915048599243},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.4546651244163513},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4345241189002991},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.4342157542705536},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41656970977783203},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41654354333877563},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4121342897415161},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3210042119026184},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22322160005569458},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.133786141872406},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08737915754318237},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.08406174182891846},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9324139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1814687072","display_name":null,"funder_award_id":"41701410,41601298,41701511","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8605754654","display_name":null,"funder_award_id":"CUG19067","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":24,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W1836465849","https://openalex.org/W2097117768","https://openalex.org/W2098676252","https://openalex.org/W2108598243","https://openalex.org/W2147800946","https://openalex.org/W2151103935","https://openalex.org/W2162915993","https://openalex.org/W2163605009","https://openalex.org/W2248723555","https://openalex.org/W2253590344","https://openalex.org/W2344884875","https://openalex.org/W2744582969","https://openalex.org/W2783165089","https://openalex.org/W2787070260","https://openalex.org/W2792857687","https://openalex.org/W2807872667","https://openalex.org/W2890732922","https://openalex.org/W2919352650","https://openalex.org/W2949117887","https://openalex.org/W6618372016","https://openalex.org/W6638444622","https://openalex.org/W6638667902","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2095903272","https://openalex.org/W2391745328","https://openalex.org/W4214649316","https://openalex.org/W2554790198","https://openalex.org/W2973159718","https://openalex.org/W1984276867","https://openalex.org/W4213376703","https://openalex.org/W3046386654","https://openalex.org/W2033482236","https://openalex.org/W1838328380"],"abstract_inverted_index":{"Remote":[0],"sensing":[1,16,32,59,72,90,105,134],"image":[2,17,73,91,135],"scene":[3,54,74,92,144,152],"classification":[4,55,75,93,171],"is":[5],"one":[6],"of":[7,20,26,57,96,115,154],"the":[8,35,84,109,119,137,147,158],"hottest":[9],"topics":[10],"in":[11,28,53],"high":[12,29],"spatial":[13,21,62,85,99],"resolution":[14,30],"remote":[15,31,58,71,89,104,133],"understanding.The":[18],"complexity":[19],"distribution":[22],"and":[23,50,118,122,126,146,167],"structure":[24,95,166],"patterns":[25],"objects":[27],"images":[33,106,117,121],"make":[34],"problem":[36],"challenging.Deep":[37],"learning":[38,48],"methods":[39],"represented":[40],"by":[41,61],"convolutional":[42],"neural":[43],"networks":[44],"have":[45],"powerful":[46],"feature":[47],"capabilities":[49],"perform":[51],"well":[52],"tasks":[56],"images.Inspired":[60],"transformer":[63,86,100],"network":[64,87,101,165],"(STN),":[65],"this":[66],"paper":[67],"proposes":[68],"an":[69],"effective":[70],"network-the":[76],"Spatial":[77],"Transformer":[78],"Fusion":[79],"Network":[80],"(STFN),":[81],"which":[82],"applies":[83],"to":[88,102,107],"task.The":[94],"STFN":[97,112],"uses":[98],"crop":[103],"extract":[108],"attention":[110],"areas.Then,":[111],"extracts":[113],"features":[114],"original":[116],"cropped":[120],"finally":[123],"fuse":[124],"them.Experiments":[125],"evaluations":[127],"are":[128],"performed":[129],"on":[130],"two":[131],"public":[132],"datasets:":[136],"UC":[138],"Merced":[139],"Land-Use":[140],"dataset":[141,149],"with":[142,150],"21":[143],"categories":[145],"NWPU-RESISC45":[148],"45":[151],"categories.Results":[153],"experiments":[155],"show":[156],"that":[157],"proposed":[159],"method":[160],"has":[161],"a":[162],"relatively":[163],"simple":[164],"can":[168],"produce":[169],"competitive":[170],"performance.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
