{"id":"https://openalex.org/W3132184743","doi":"https://doi.org/10.1109/jstars.2021.3058691","title":"A Triplet Nonlocal Neural Network With Dual-Anchor Triplet Loss for High-Resolution Remote Sensing Image Retrieval","display_name":"A Triplet Nonlocal Neural Network With Dual-Anchor Triplet Loss for High-Resolution Remote Sensing Image Retrieval","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3132184743","doi":"https://doi.org/10.1109/jstars.2021.3058691","mag":"3132184743"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2021.3058691","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2021.3058691","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09353191.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09353191.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082788444","display_name":"Maoding Zhang","orcid":"https://orcid.org/0000-0002-8099-8055"},"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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Maoding Zhang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-8099-8055","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101639319","display_name":"Qimin Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qimin Cheng","raw_affiliation_strings":["School of Electronics Information and Communications, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-6713-7544","affiliations":[{"raw_affiliation_string":"School of Electronics Information and Communications, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101737593","display_name":"Fang Luo","orcid":"https://orcid.org/0000-0003-3281-9574"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Luo","raw_affiliation_strings":["Department of Computer Science and Technology, Wuhan University of Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102018322","display_name":"Lan Ye","orcid":"https://orcid.org/0000-0002-6306-8702"},"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":"Lan Ye","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":4,"corresponding_author_ids":["https://openalex.org/A5082788444"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":4.6793,"has_fulltext":true,"cited_by_count":51,"citation_normalized_percentile":{"value":0.95300261,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"14","issue":null,"first_page":"2711","last_page":"2723"},"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":0.9987999796867371,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9966999888420105,"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/discriminative-model","display_name":"Discriminative model","score":0.748629093170166},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7201547622680664},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5586651563644409},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5567411184310913},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.537590503692627},{"id":"https://openalex.org/keywords/cross-entropy","display_name":"Cross entropy","score":0.5280138850212097},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5190446972846985},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5032355189323425},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49887704849243164},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.49284911155700684},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4849698543548584},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.46297094225883484},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43776577711105347},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4309346079826355},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4212121069431305},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4142424464225769},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3332751393318176}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.748629093170166},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7201547622680664},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5586651563644409},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5567411184310913},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.537590503692627},{"id":"https://openalex.org/C167981619","wikidata":"https://www.wikidata.org/wiki/Q1685498","display_name":"Cross entropy","level":3,"score":0.5280138850212097},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5190446972846985},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5032355189323425},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49887704849243164},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.49284911155700684},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4849698543548584},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.46297094225883484},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43776577711105347},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4309346079826355},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4212121069431305},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4142424464225769},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3332751393318176},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2021.3058691","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2021.3058691","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09353191.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bbdf70622b0249e8a392a19122d2d4e1","is_oa":true,"landing_page_url":"https://doaj.org/article/bbdf70622b0249e8a392a19122d2d4e1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 2711-2723 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2021.3058691","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2021.3058691","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09353191.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G4252305548","display_name":null,"funder_award_id":"41771454","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6366554838","display_name":null,"funder_award_id":"41771452","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G967177310","display_name":null,"funder_award_id":"42090012","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3132184743.pdf","grobid_xml":"https://content.openalex.org/works/W3132184743.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W1560922506","https://openalex.org/W1569769495","https://openalex.org/W1686810756","https://openalex.org/W1980038761","https://openalex.org/W1989316905","https://openalex.org/W2091510577","https://openalex.org/W2096733369","https://openalex.org/W2097117768","https://openalex.org/W2108598243","https://openalex.org/W2161346036","https://openalex.org/W2163605009","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2435623039","https://openalex.org/W2515440612","https://openalex.org/W2515866431","https://openalex.org/W2567850185","https://openalex.org/W2626107033","https://openalex.org/W2734790001","https://openalex.org/W2763822693","https://openalex.org/W2808859004","https://openalex.org/W2843623251","https://openalex.org/W2886702754","https://openalex.org/W2888159112","https://openalex.org/W2913741863","https://openalex.org/W2914023516","https://openalex.org/W2918316070","https://openalex.org/W2931053602","https://openalex.org/W2938495304","https://openalex.org/W2942105743","https://openalex.org/W2950974964","https://openalex.org/W2962798326","https://openalex.org/W2963091558","https://openalex.org/W2963386851","https://openalex.org/W2993616601","https://openalex.org/W2996180937","https://openalex.org/W2999304331","https://openalex.org/W3016406224","https://openalex.org/W3021148811","https://openalex.org/W3025867857","https://openalex.org/W3033852610","https://openalex.org/W3034274506","https://openalex.org/W3040169375","https://openalex.org/W3044461098","https://openalex.org/W3045603631","https://openalex.org/W3098774942","https://openalex.org/W3099206234","https://openalex.org/W3105409087","https://openalex.org/W3105475654","https://openalex.org/W3105577662","https://openalex.org/W3111046936","https://openalex.org/W3113301809","https://openalex.org/W3115107254","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6764386301","https://openalex.org/W6787371766"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2994927414"],"abstract_inverted_index":{"Conventional":[0],"deep-learning-based":[1],"retrieval":[2,42],"models":[3],"are":[4],"generally":[5],"trained":[6],"under":[7],"the":[8,21,26,33,41,46,50,64,73,79,104,125,152,157,165,174],"framework":[9],"of":[10,28,36,49,154],"scene":[11],"classification":[12],"with":[13,67,108],"cross-entropy":[14],"loss,":[15],"this":[16,82],"way":[17],"focuses":[18],"only":[19,62],"on":[20,117,179],"output":[22],"probability":[23],"corresponding":[24],"to":[25,45,78,150],"label":[27],"input":[29,158],"samples,":[30],"while":[31],"ignoring":[32,72],"predictive":[34],"information":[35,155],"other":[37,138],"categories,":[38],"which":[39],"makes":[40],"accuracy":[43],"susceptible":[44],"intraclass":[47],"difference":[48],"image":[51],"samples.":[52,159],"And":[53],"conventional":[54],"methods":[55],"often":[56],"used":[57],"fixed-size":[58],"convolution":[59],"kernels":[60],"that":[61,92,129,164],"consider":[63],"local":[65],"area":[66],"fixed":[68],"sizes,":[69],"thus":[70],"largely":[71],"global":[74],"information.":[75],"In":[76,141],"response":[77],"above":[80],"problems,":[81],"article":[83],"constructs":[84],"a":[85,145],"triplet":[86,147,168,176],"nonlocal":[87,98],"neural":[88],"network":[89,106],"(T-NLNN)":[90],"model":[91],"combines":[93],"deep":[94],"metric":[95],"learning":[96,134],"and":[97,124,136],"operation.":[99],"The":[100,160],"proposed":[101,166],"T-NLNN":[102,116,130],"follows":[103],"three-branch":[105],"design,":[107],"shared":[109],"weights":[110],"in":[111,156],"each":[112],"branch.":[113],"We":[114],"evaluate":[115],"three":[118],"public":[119],"high-resolution":[120],"remote":[121],"sensing":[122],"datasets,":[123],"experimental":[126,161],"results":[127,162],"suggest":[128],"has":[131],"discriminative":[132],"feature":[133],"ability":[135],"outperforms":[137],"existing":[139],"algorithms.":[140],"addition,":[142],"we":[143],"propose":[144],"dual-anchor":[146,167],"loss":[148,169,177],"function":[149,170,178],"facilitate":[151],"utilization":[153],"prove":[163],"works":[171],"better":[172],"than":[173],"traditional":[175],"all":[180],"datasets.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":4}],"updated_date":"2026-05-31T08:46:17.908082","created_date":"2025-10-10T00:00:00"}
