{"id":"https://openalex.org/W4314947406","doi":"https://doi.org/10.1109/icarcv57592.2022.10004315","title":"Wavelet Attention ResNeXt Network for High-resolution Remote Sensing Scene Classification","display_name":"Wavelet Attention ResNeXt Network for High-resolution Remote Sensing Scene Classification","publication_year":2022,"publication_date":"2022-12-11","ids":{"openalex":"https://openalex.org/W4314947406","doi":"https://doi.org/10.1109/icarcv57592.2022.10004315"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv57592.2022.10004315","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icarcv57592.2022.10004315","pdf_url":null,"source":{"id":"https://openalex.org/S4363608251","display_name":"2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5080100316","display_name":"Wanying Song","orcid":"https://orcid.org/0000-0002-3777-067X"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanying Song","raw_affiliation_strings":["Xi&#x0027;an University of Science and Technology,Xi&#x0027;an Key Laboratory of Heterogeneous Network Convergence Communication,Xian,China,710054"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x0027;an University of Science and Technology,Xi&#x0027;an Key Laboratory of Heterogeneous Network Convergence Communication,Xian,China,710054","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103211845","display_name":"Yifan Cong","orcid":"https://orcid.org/0009-0000-1047-6967"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Cong","raw_affiliation_strings":["Xi&#x0027;an University of Science and Technology,Xi&#x0027;an Key Laboratory of Heterogeneous Network Convergence Communication,Xian,China,710054"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x0027;an University of Science and Technology,Xi&#x0027;an Key Laboratory of Heterogeneous Network Convergence Communication,Xian,China,710054","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422721","display_name":"Yingying Zhang","orcid":"https://orcid.org/0000-0002-8448-3059"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingying Zhang","raw_affiliation_strings":["Xi&#x0027;an University of Science and Technology,Xi&#x0027;an Key Laboratory of Heterogeneous Network Convergence Communication,Xian,China,710054"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x0027;an University of Science and Technology,Xi&#x0027;an Key Laboratory of Heterogeneous Network Convergence Communication,Xian,China,710054","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019222199","display_name":"Shiru Zhang","orcid":"https://orcid.org/0000-0002-1677-2721"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiru Zhang","raw_affiliation_strings":["Xi&#x0027;an University of Science and Technology,Xi&#x0027;an Key Laboratory of Heterogeneous Network Convergence Communication,Xian,China,710054"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x0027;an University of Science and Technology,Xi&#x0027;an Key Laboratory of Heterogeneous Network Convergence Communication,Xian,China,710054","institution_ids":["https://openalex.org/I110440473"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I110440473"],"apc_list":null,"apc_paid":null,"fwci":1.07,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80571109,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"330","last_page":"333"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9962000250816345,"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":0.9865000247955322,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7667818069458008},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7425039410591125},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6325743198394775},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5817013382911682},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5746577382087708},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5723581910133362},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5498438477516174},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.49021440744400024},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48468902707099915},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43978095054626465},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41763514280319214},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.36141782999038696},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13859981298446655},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09376156330108643}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7667818069458008},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7425039410591125},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6325743198394775},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5817013382911682},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5746577382087708},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5723581910133362},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5498438477516174},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.49021440744400024},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48468902707099915},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43978095054626465},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41763514280319214},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.36141782999038696},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13859981298446655},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09376156330108643},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv57592.2022.10004315","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icarcv57592.2022.10004315","pdf_url":null,"source":{"id":"https://openalex.org/S4363608251","display_name":"2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.7099999785423279,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G2859439191","display_name":null,"funder_award_id":"20JK0757","funder_id":"https://openalex.org/F4320335970","funder_display_name":"Scientific Research Plan Projects of Shaanxi Education Department"},{"id":"https://openalex.org/G5734774091","display_name":null,"funder_award_id":"2020M673347","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5954944666","display_name":null,"funder_award_id":"61901358","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335970","display_name":"Scientific Research Plan Projects of Shaanxi Education Department","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2080886874","https://openalex.org/W2592962403","https://openalex.org/W2752782242","https://openalex.org/W2767651786","https://openalex.org/W2962217138","https://openalex.org/W3034552520","https://openalex.org/W3080321686","https://openalex.org/W3119729445","https://openalex.org/W3196798006","https://openalex.org/W3213288046","https://openalex.org/W4289752563"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W2382174632","https://openalex.org/W2371138613","https://openalex.org/W2129959498","https://openalex.org/W2784060934","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2902714807","https://openalex.org/W2077021924"],"abstract_inverted_index":{"Deep":[0],"learning":[1,19],"algorithms":[2],"have":[3],"been":[4],"used":[5],"on":[6,116],"a":[7,60],"large":[8],"scale":[9],"in":[10,38,67],"high-resolution":[11,135],"remote":[12,136],"sensing":[13,137],"scene":[14,144],"classification.":[15],"However,":[16],"traditional":[17],"deep":[18,40],"models":[20],"usually":[21],"suffer":[22],"from":[23],"incomplete":[24],"consideration":[25],"of":[26,31,51,81,134],"spatial":[27,128],"features,":[28,59],"inadequate":[29],"extraction":[30,47],"detail":[32,56,77],"and":[33,36,48,57,78,89,95,130,139],"texture":[34,58,79,132],"features":[35,129,133],"difficulty":[37],"decoding":[39],"features.":[41],"In":[42],"order":[43],"to":[44],"improve":[45,142],"the":[46,75,82,92,97,101,107,111,117,122,127,131,143],"generalization":[49],"ability":[50],"convolutional":[52],"neural":[53],"networks":[54],"for":[55],"wavelet":[61,87,113],"attention":[62,102],"ResNeXt":[63],"(WAResNeXt)":[64],"is":[65],"designed":[66],"this":[68],"paper.":[69],"The":[70],"proposed":[71],"WAResNeXt":[72,123],"firstly":[73],"extracts":[74],"multi-scale":[76],"information":[80,94,99],"input":[83],"feature":[84,108],"map":[85,109],"by":[86,100,110],"transform,":[88],"then":[90],"enhances":[91],"useful":[93],"suppresses":[96],"redundant":[98],"mechanism.":[103],"Finally,":[104],"it":[105],"reconstructs":[106],"inverse":[112],"transform.":[114],"Experiments":[115],"NWPU-RESISC45":[118],"dataset":[119],"show":[120],"that":[121],"can":[124,140],"effectively":[125],"extract":[126],"images,":[138],"greatly":[141],"classification":[145],"accuracy.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
