{"id":"https://openalex.org/W2974770574","doi":"https://doi.org/10.1109/tgrs.2019.2931801","title":"Remote Sensing Scene Classification by Gated Bidirectional Network","display_name":"Remote Sensing Scene Classification by Gated Bidirectional Network","publication_year":2019,"publication_date":"2019-09-18","ids":{"openalex":"https://openalex.org/W2974770574","doi":"https://doi.org/10.1109/tgrs.2019.2931801","mag":"2974770574"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2019.2931801","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2019.2931801","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://ir.opt.ac.cn/handle/181661/93356","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101409444","display_name":"Hao Sun","orcid":"https://orcid.org/0000-0002-1314-4957"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210144662","display_name":"Xi'an Institute of Optics and Precision Mechanics","ror":"https://ror.org/0444j5556","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Sun","raw_affiliation_strings":["Key Laboratory of Spectral Imaging Technology CAS, Xi\u2019an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi\u2019an, China","University of Chinese Academy of Sciences, Beijing, China","Key Laboratory of Spectral Imaging Technology CAS, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-1314-4957","affiliations":[{"raw_affiliation_string":"Key Laboratory of Spectral Imaging Technology CAS, Xi\u2019an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi\u2019an, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Key Laboratory of Spectral Imaging Technology CAS, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101467828","display_name":"Siyuan Li","orcid":"https://orcid.org/0000-0002-2354-4233"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210144662","display_name":"Xi'an Institute of Optics and Precision Mechanics","ror":"https://ror.org/0444j5556","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyuan Li","raw_affiliation_strings":["Key Laboratory of Spectral Imaging Technology CAS, Xi\u2019an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi\u2019an, China","University of Chinese Academy of Sciences, Beijing, China","Xi\u2019an Jiaotong University, Xi\u2019an, China","Key Laboratory of Spectral Imaging Technology CAS, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China","Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Spectral Imaging Technology CAS, Xi\u2019an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi\u2019an, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Key Laboratory of Spectral Imaging Technology CAS, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]},{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007883693","display_name":"Xiangtao Zheng","orcid":"https://orcid.org/0000-0002-8398-6324"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210144662","display_name":"Xi'an Institute of Optics and Precision Mechanics","ror":"https://ror.org/0444j5556","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangtao Zheng","raw_affiliation_strings":["Key Laboratory of Spectral Imaging Technology CAS, Xi\u2019an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi\u2019an, China","Key Laboratory of Spectral Imaging Technology CAS, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-8398-6324","affiliations":[{"raw_affiliation_string":"Key Laboratory of Spectral Imaging Technology CAS, Xi\u2019an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi\u2019an, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]},{"raw_affiliation_string":"Key Laboratory of Spectral Imaging Technology CAS, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018824735","display_name":"Xiaoqiang Lu","orcid":"https://orcid.org/0000-0002-7037-5188"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210144662","display_name":"Xi'an Institute of Optics and Precision Mechanics","ror":"https://ror.org/0444j5556","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqiang Lu","raw_affiliation_strings":["Key Laboratory of Spectral Imaging Technology CAS, Xi\u2019an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi\u2019an, China","Key Laboratory of Spectral Imaging Technology CAS, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-7037-5188","affiliations":[{"raw_affiliation_string":"Key Laboratory of Spectral Imaging Technology CAS, Xi\u2019an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi\u2019an, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]},{"raw_affiliation_string":"Key Laboratory of Spectral Imaging Technology CAS, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":17.6253,"has_fulltext":false,"cited_by_count":228,"citation_normalized_percentile":{"value":0.99358654,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"58","issue":"1","first_page":"82","last_page":"96"},"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":0.9926999807357788,"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":0.9836000204086304,"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":0.8036271929740906},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7786483764648438},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6603469252586365},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6435062885284424},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6348404884338379},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5724461674690247},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47452083230018616},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4633387327194214},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.4278143048286438},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.337390273809433},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15811961889266968},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11840060353279114},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.08314305543899536}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8036271929740906},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7786483764648438},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6603469252586365},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6435062885284424},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6348404884338379},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5724461674690247},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47452083230018616},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4633387327194214},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.4278143048286438},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.337390273809433},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15811961889266968},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11840060353279114},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.08314305543899536},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2019.2931801","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2019.2931801","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:ir.opt.ac.cn:181661/93356","is_oa":true,"landing_page_url":"http://ir.opt.ac.cn/handle/181661/93356","pdf_url":null,"source":{"id":"https://openalex.org/S4377196962","display_name":"Institutional Repository of Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (Xian Institute of Optics and Precision Mechanics)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210144662","host_organization_name":"Xi'an Institute of Optics and Precision Mechanics","host_organization_lineage":["https://openalex.org/I4210144662"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u671f\u520a\u8bba\u6587"}],"best_oa_location":{"id":"pmh:oai:ir.opt.ac.cn:181661/93356","is_oa":true,"landing_page_url":"http://ir.opt.ac.cn/handle/181661/93356","pdf_url":null,"source":{"id":"https://openalex.org/S4377196962","display_name":"Institutional Repository of Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (Xian Institute of Optics and Precision Mechanics)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210144662","host_organization_name":"Xi'an Institute of Optics and Precision Mechanics","host_organization_lineage":["https://openalex.org/I4210144662"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u671f\u520a\u8bba\u6587"},"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2926447122","display_name":null,"funder_award_id":"QYZDB-SSW-JSC015","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G3696607175","display_name":null,"funder_award_id":"SKLST2017010","funder_id":"https://openalex.org/F4320335635","funder_display_name":"State Key Laboratory of Transient Optics and Photonics"},{"id":"https://openalex.org/G3810805587","display_name":null,"funder_award_id":"61806193","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6349446410","display_name":null,"funder_award_id":"XAB2017B26","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G7869768529","display_name":"\u9762\u5411\u5bf9\u8c61\u7684\u9ad8\u5149\u8c31\u5f02\u5e38\u68c0\u6d4b","funder_award_id":"61772510","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/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320335635","display_name":"State Key Laboratory of Transient Optics and Photonics","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W300523764","https://openalex.org/W1606858007","https://openalex.org/W1686810756","https://openalex.org/W1880213544","https://openalex.org/W1980038761","https://openalex.org/W2020912318","https://openalex.org/W2064675550","https://openalex.org/W2097117768","https://openalex.org/W2098676252","https://openalex.org/W2108598243","https://openalex.org/W2117539524","https://openalex.org/W2147672495","https://openalex.org/W2152705230","https://openalex.org/W2163605009","https://openalex.org/W2248723555","https://openalex.org/W2291068538","https://openalex.org/W2295537791","https://openalex.org/W2342662179","https://openalex.org/W2405680777","https://openalex.org/W2469277230","https://openalex.org/W2515866431","https://openalex.org/W2565639579","https://openalex.org/W2592962403","https://openalex.org/W2607558879","https://openalex.org/W2608988379","https://openalex.org/W2620179114","https://openalex.org/W2620429297","https://openalex.org/W2620629206","https://openalex.org/W2621526417","https://openalex.org/W2715220489","https://openalex.org/W2727875856","https://openalex.org/W2735768354","https://openalex.org/W2742141965","https://openalex.org/W2748984698","https://openalex.org/W2752782242","https://openalex.org/W2753799023","https://openalex.org/W2762941833","https://openalex.org/W2767581044","https://openalex.org/W2782266583","https://openalex.org/W2791349345","https://openalex.org/W2809436351","https://openalex.org/W2829067510","https://openalex.org/W2843623251","https://openalex.org/W2889192935","https://openalex.org/W2890732922","https://openalex.org/W2897819140","https://openalex.org/W2898941977","https://openalex.org/W2900081457","https://openalex.org/W2911305027","https://openalex.org/W2911584214","https://openalex.org/W2944302759","https://openalex.org/W2948329096","https://openalex.org/W2962917547","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W3103410140","https://openalex.org/W3103856189","https://openalex.org/W3105577662","https://openalex.org/W3106090851","https://openalex.org/W3106250896","https://openalex.org/W3106334569","https://openalex.org/W6636412649","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6697161373","https://openalex.org/W6763262187","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2610189143","https://openalex.org/W2911497689","https://openalex.org/W2952813363","https://openalex.org/W2963346891","https://openalex.org/W4360783045","https://openalex.org/W2770149305","https://openalex.org/W3167930666","https://openalex.org/W3014952856","https://openalex.org/W3010730661","https://openalex.org/W2565656575"],"abstract_inverted_index":{"Remote":[0],"sensing":[1],"(RS)":[2],"scene":[3,202],"classification":[4,20,44,75,203],"is":[5,94,118,128,134,169],"a":[6,37,90,122,131,166],"challenging":[7],"task":[8],"due":[9],"to":[10,96,136,152,171],"various":[11],"land":[12],"covers":[13],"contained":[14],"in":[15,175],"RS":[16,19,201],"scenes.":[17],"Recent":[18],"methods":[21,48,198],"demonstrate":[22],"that":[23],"aggregating":[24],"the":[25,50,59,98,103,112,143,147,158,176,180,196],"multilayer":[26,51,63,139,154],"convolutional":[27,38,52,64,67,116,126,140,155],"features,":[28],"which":[29],"are":[30,150,186],"extracted":[31],"from":[32],"different":[33],"hierarchical":[34,60,99],"layers":[35],"of":[36,62,114,125],"neural":[39],"network,":[40],"can":[41,193],"effectively":[42],"improve":[43],"accuracy.":[45],"However,":[46],"these":[47],"treat":[49],"features":[53,68,127,156],"as":[54],"equally":[55],"important":[56],"and":[57,84,102,121,146,161,165,183,209],"ignore":[58],"structure":[61],"features.":[65,141],"Multilayer":[66],"not":[69],"only":[70],"provide":[71],"complementary":[72],"information":[73,81,105,174],"for":[74,188],"but":[76],"also":[77],"bring":[78],"some":[79],"interference":[80,104,173],"(e.g.,":[82],"redundancy":[83],"mutual":[85],"exclusion).":[86],"In":[87],"this":[88],"paper,":[89],"gated":[91,167],"bidirectional":[92,132,177],"network":[93],"proposed":[95,135,191],"integrate":[97],"feature":[100,117,160,182,185],"aggregation":[101],"elimination":[106],"into":[107,157],"an":[108],"end-to-end":[109],"network.":[110],"First,":[111],"performance":[113],"each":[115],"quantitatively":[119],"analyzed":[120],"superior":[123],"combination":[124],"selected.":[129],"Then,":[130],"connection":[133],"hierarchically":[137],"aggregate":[138,153],"Both":[142],"top\u2013down":[144],"direction":[145,149],"bottom\u2013up":[148],"considered":[151],"semantic-assist":[159,181],"appearance-assist":[162,184],"feature,":[163],"respectively,":[164],"function":[168],"utilized":[170],"eliminate":[172],"connection.":[178],"Finally,":[179],"merged":[187],"classification.":[189],"The":[190],"method":[192],"compete":[194],"with":[195],"state-of-the-art":[197],"on":[199],"four":[200],"data":[204],"sets":[205],"(AID,":[206],"UC-Merced,":[207],"WHU-RS19,":[208],"OPTIMAL-31).":[210]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":26},{"year":2023,"cited_by_count":52},{"year":2022,"cited_by_count":50},{"year":2021,"cited_by_count":47},{"year":2020,"cited_by_count":22},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}