{"id":"https://openalex.org/W4389104749","doi":"https://doi.org/10.1109/tgrs.2023.3336471","title":"CDLNet: Collaborative Dictionary Learning Network for Remote Sensing Image Scene Classification","display_name":"CDLNet: Collaborative Dictionary Learning Network for Remote Sensing Image Scene Classification","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4389104749","doi":"https://doi.org/10.1109/tgrs.2023.3336471"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3336471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3336471","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031436739","display_name":"Yibo Zhao","orcid":"https://orcid.org/0000-0002-2688-2684"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yibo Zhao","raw_affiliation_strings":["Jiangsu Provincial Engineering Laboratory for Pattern Recognition and Computational Intelligence, School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","School of Artificial Intelligence and Computer Science, Jiangsu Provincial Engineering Laboratory for Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Provincial Engineering Laboratory for Pattern Recognition and Computational Intelligence, School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangsu Provincial Engineering Laboratory for Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018617993","display_name":"Jianjun Liu","orcid":"https://orcid.org/0000-0003-0778-9094"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjun Liu","raw_affiliation_strings":["Jiangsu Provincial Engineering Laboratory for Pattern Recognition and Computational Intelligence, School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","School of Artificial Intelligence and Computer Science, Jiangsu Provincial Engineering Laboratory for Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Provincial Engineering Laboratory for Pattern Recognition and Computational Intelligence, School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangsu Provincial Engineering Laboratory for Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031361250","display_name":"Zebin Wu","orcid":"https://orcid.org/0000-0002-7162-0202"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zebin Wu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031436739"],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":null,"apc_paid":null,"fwci":37.6916,"has_fulltext":false,"cited_by_count":239,"citation_normalized_percentile":{"value":0.99851108,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9940999746322632,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8393189907073975},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.6879758834838867},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.561404287815094},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.509606122970581},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.492404580116272},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4749584197998047},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.45102307200431824},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.44777485728263855},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43066757917404175},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4157693684101105},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4050198197364807},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35921090841293335}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8393189907073975},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.6879758834838867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.561404287815094},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.509606122970581},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.492404580116272},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4749584197998047},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.45102307200431824},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.44777485728263855},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43066757917404175},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4157693684101105},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4050198197364807},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35921090841293335},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3336471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3336471","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2923923988","display_name":null,"funder_award_id":"62071204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3613945951","display_name":null,"funder_award_id":"2021M691275","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4536002861","display_name":null,"funder_award_id":"BK20201338","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"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/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1980038761","https://openalex.org/W1984309565","https://openalex.org/W1994616650","https://openalex.org/W2005368619","https://openalex.org/W2020912318","https://openalex.org/W2030754587","https://openalex.org/W2086866337","https://openalex.org/W2097117768","https://openalex.org/W2132467081","https://openalex.org/W2151103935","https://openalex.org/W2153425333","https://openalex.org/W2161969291","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2515866431","https://openalex.org/W2561238782","https://openalex.org/W2592962403","https://openalex.org/W2621526417","https://openalex.org/W2752782242","https://openalex.org/W2783165089","https://openalex.org/W2890732922","https://openalex.org/W2962217138","https://openalex.org/W2962749812","https://openalex.org/W2962858109","https://openalex.org/W2963495494","https://openalex.org/W2969689033","https://openalex.org/W2986888765","https://openalex.org/W3004916592","https://openalex.org/W3015063979","https://openalex.org/W3017622525","https://openalex.org/W3022140654","https://openalex.org/W3025719176","https://openalex.org/W3034552520","https://openalex.org/W3043257208","https://openalex.org/W3047889186","https://openalex.org/W3100892511","https://openalex.org/W3101627915","https://openalex.org/W3105577662","https://openalex.org/W3113299742","https://openalex.org/W3119125170","https://openalex.org/W3128592650","https://openalex.org/W3155649272","https://openalex.org/W3168462391","https://openalex.org/W3183140681","https://openalex.org/W3183804933","https://openalex.org/W3196729209","https://openalex.org/W3196798006","https://openalex.org/W3204169305","https://openalex.org/W3208146808","https://openalex.org/W3212386989","https://openalex.org/W3212888835","https://openalex.org/W3213288046","https://openalex.org/W3214907058","https://openalex.org/W4213253308","https://openalex.org/W4214910799","https://openalex.org/W4226285265","https://openalex.org/W4226291728","https://openalex.org/W4285817614","https://openalex.org/W4288391265","https://openalex.org/W4288391342","https://openalex.org/W4289752563","https://openalex.org/W4361802383","https://openalex.org/W4384917168","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6730179637","https://openalex.org/W6799321896"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W4306886878","https://openalex.org/W4390871823","https://openalex.org/W4309346246"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"deep":[3],"learning-based":[4],"methods":[5,47,70],"have":[6,17],"been":[7],"extensively":[8],"utilized":[9],"in":[10,32,85,235],"remote":[11],"sensing":[12],"image":[13],"scene":[14,29],"classification":[15,44],"and":[16,25,36,220],"achieved":[18],"remarkable":[19],"performance.":[20],"The":[21,204,240],"wide":[22],"geographical":[23],"coverage":[24],"resolution":[26],"differences":[27],"of":[28,43,52,66,94,101,125,135,169,200,228],"images":[30],"result":[31],"significant":[33],"within-class":[34,218],"diversity":[35,219],"between-class":[37,221],"similarity,":[38],"hindering":[39],"the":[40,50,62,67,75,86,91,98,114,131,136,167,173,183,198,225,229],"further":[41,196],"improvement":[42],"accuracy.":[45],"Attention-based":[46],"automatically":[48,78],"estimate":[49],"importance":[51],"local":[53,95,170],"regions":[54],"by":[55,151,223],"learning":[56,109,133,227],"weight":[57,80],"assignments,":[58],"which":[59,146,165],"effectively":[60,216],"enhance":[61,197],"feature":[63,175,202],"extraction":[64],"capability":[65],"network.":[68,137],"However,":[69],"that":[71,213],"solely":[72],"rely":[73],"on":[74,179,207],"network":[76,110],"to":[77,97,118,129,172,195],"learn":[79],"assignments":[81],"may":[82],"introduce":[83],"biases":[84],"attention":[87,132,162,190,199,226],"calculations.":[88],"By":[89],"analyzing":[90],"specific":[92],"contribution":[93,168],"features":[96,121,150,171],"key":[99,126,176,185],"components":[100],"global":[102,120,148,160,174],"semantics,":[103],"we":[104,139,157],"propose":[105,158],"a":[106,123,141,153,159],"collaborative":[107,115],"dictionary":[108],"(CDLNet).":[111],"CDLNet":[112,214],"utilizes":[113],"representation":[116],"method":[117],"decompose":[119],"into":[122],"set":[124],"semantic":[127,142,149,161,186],"vectors":[128],"guide":[130],"process":[134],"Specifically,":[138],"design":[140],"summarization":[143],"module":[144,163],"(SSM),":[145],"reconstructs":[147],"optimizing":[152,224],"low-redundancy":[154],"dictionary.":[155],"Next,":[156],"(GSAM),":[164],"calculates":[166],"information":[177],"based":[178],"their":[180],"correlation":[181],"with":[182,237],"reconstructed":[184],"set.":[187],"Finally,":[188],"an":[189],"transfer":[191],"loss":[192],"is":[193,242],"introduced":[194],"low-level":[201],"maps.":[203],"experimental":[205],"results":[206],"three":[208],"publicly":[209,243],"available":[210,244],"datasets":[211],"demonstrate":[212],"can":[215],"improve":[217],"similarity":[222],"network,":[230],"thereby":[231],"achieving":[232],"great":[233],"promotion":[234],"comparison":[236],"state-of-the-art":[238],"methods.":[239],"implementation":[241],"at":[245],"https://github.com/liuofficial/CDLNet.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":145},{"year":2024,"cited_by_count":71},{"year":2023,"cited_by_count":11}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}