{"id":"https://openalex.org/W4220774847","doi":"https://doi.org/10.3390/rs14061319","title":"Dual Modality Collaborative Learning for Cross-Source Remote Sensing Retrieval","display_name":"Dual Modality Collaborative Learning for Cross-Source Remote Sensing Retrieval","publication_year":2022,"publication_date":"2022-03-09","ids":{"openalex":"https://openalex.org/W4220774847","doi":"https://doi.org/10.3390/rs14061319"},"language":"en","primary_location":{"id":"doi:10.3390/rs14061319","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14061319","pdf_url":"https://www.mdpi.com/2072-4292/14/6/1319/pdf?version=1646820926","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/6/1319/pdf?version=1646820926","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101449769","display_name":"Jingjing Ma","orcid":"https://orcid.org/0000-0001-7562-4262"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Ma","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi\u2019an 710071, China","School of Artificial Intelligence, Xidian University, Xi'an 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009010051","display_name":"Duanpeng Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Duanpeng Shi","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi\u2019an 710071, China","School of Artificial Intelligence, Xidian University, Xi'an 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059262797","display_name":"Xu Tang","orcid":"https://orcid.org/0000-0003-1375-0778"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xu Tang","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi\u2019an 710071, China","School of Artificial Intelligence, Xidian University, Xi'an 710071, China"],"raw_orcid":"https://orcid.org/0000-0003-1375-0778","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049776440","display_name":"Xiangrong Zhang","orcid":"https://orcid.org/0000-0003-0379-2042"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangrong Zhang","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi\u2019an 710071, China","School of Artificial Intelligence, Xidian University, Xi'an 710071, China"],"raw_orcid":"https://orcid.org/0000-0003-0379-2042","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":"https://orcid.org/0000-0003-3354-9617"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Jiao","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi\u2019an 710071, China","School of Artificial Intelligence, Xidian University, Xi'an 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5059262797"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2618},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2618},"fwci":0.497,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.58847543,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"14","issue":"6","first_page":"1319","last_page":"1319"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991000294685364,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9984999895095825,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9916999936103821,"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":0.7811455726623535},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.6838581562042236},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5484838485717773},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5029148459434509},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.47921210527420044},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.46246594190597534},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4459449350833893},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4353817105293274},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2358626425266266}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7811455726623535},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6838581562042236},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5484838485717773},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5029148459434509},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.47921210527420044},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.46246594190597534},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4459449350833893},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4353817105293274},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2358626425266266},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs14061319","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14061319","pdf_url":"https://www.mdpi.com/2072-4292/14/6/1319/pdf?version=1646820926","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c9b981ba95a54dd5af11c163937a61a4","is_oa":false,"landing_page_url":"https://doaj.org/article/c9b981ba95a54dd5af11c163937a61a4","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 6, p 1319 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs14061319","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14061319","pdf_url":"https://www.mdpi.com/2072-4292/14/6/1319/pdf?version=1646820926","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4220774847.pdf","grobid_xml":"https://content.openalex.org/works/W4220774847.grobid-xml"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W1555459384","https://openalex.org/W1967539196","https://openalex.org/W1989316905","https://openalex.org/W2012592962","https://openalex.org/W2044465660","https://openalex.org/W2062251491","https://openalex.org/W2082293041","https://openalex.org/W2091510577","https://openalex.org/W2096733369","https://openalex.org/W2097117768","https://openalex.org/W2118187752","https://openalex.org/W2130866627","https://openalex.org/W2147238549","https://openalex.org/W2157319256","https://openalex.org/W2161346036","https://openalex.org/W2163605009","https://openalex.org/W2168955003","https://openalex.org/W2169648929","https://openalex.org/W2194775991","https://openalex.org/W2559668281","https://openalex.org/W2566630808","https://openalex.org/W2567850185","https://openalex.org/W2590149631","https://openalex.org/W2621526417","https://openalex.org/W2736154721","https://openalex.org/W2737260104","https://openalex.org/W2777534232","https://openalex.org/W2779054585","https://openalex.org/W2788846526","https://openalex.org/W2808134123","https://openalex.org/W2808376087","https://openalex.org/W2886702754","https://openalex.org/W2898008292","https://openalex.org/W2919115771","https://openalex.org/W2938495304","https://openalex.org/W2944294033","https://openalex.org/W2963446712","https://openalex.org/W2964130424","https://openalex.org/W2971541804","https://openalex.org/W2981537605","https://openalex.org/W2997056851","https://openalex.org/W3004827100","https://openalex.org/W3013317997","https://openalex.org/W3033235266","https://openalex.org/W3034519219","https://openalex.org/W3042481550","https://openalex.org/W3043183554","https://openalex.org/W3081867518","https://openalex.org/W3083166649","https://openalex.org/W3093905312","https://openalex.org/W3100245404","https://openalex.org/W3104399990","https://openalex.org/W3110846182","https://openalex.org/W3119589206","https://openalex.org/W3164747179","https://openalex.org/W3175759175","https://openalex.org/W3180302280","https://openalex.org/W3197715477","https://openalex.org/W3202874825","https://openalex.org/W3207169751","https://openalex.org/W4200004275","https://openalex.org/W4200468977","https://openalex.org/W4200528395","https://openalex.org/W4205723298","https://openalex.org/W4248646870","https://openalex.org/W6801106609","https://openalex.org/W6806016300"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W1537496349","https://openalex.org/W4243305035","https://openalex.org/W2379407973","https://openalex.org/W2125195795"],"abstract_inverted_index":{"Content-based":[0],"remote":[1],"sensing":[2],"(RS)":[3],"image":[4],"retrieval":[5,90,114],"(CBRSIR)":[6],"is":[7,54,95,110,161,176,208,245,259],"a":[8,64,122,155,169,232,251],"critical":[9],"way":[10,94],"to":[11,35,38,45,72,86,104,163,187,192,209],"organize":[12],"high-resolution":[13],"RS":[14],"(HRRS)":[15],"images":[16,28,71,106],"in":[17,52,127,261],"the":[18,39,46,55,88,100,139,151,165,173,179,189,193,201,211,220,240,256],"current":[19],"big":[20],"data":[21,47],"era.":[22],"The":[23,226],"increasing":[24],"volume":[25],"of":[26,181,242],"HRRS":[27,70,105,144],"from":[29,107,142,178,214],"different":[30,108,215],"satellites":[31],"and":[32,97,183,200,218,222],"sensors":[33],"leads":[34],"more":[36],"attention":[37],"cross-source":[40,89],"CSRSIR":[41],"(CS-CBRSIR)":[42],"problem.":[43],"Due":[44],"drift,":[48],"one":[49],"crucial":[50],"problem":[51],"CS-CBRSIR":[53,126,262],"modality":[56,132,174,198],"discrepancy.":[57],"Most":[58],"existing":[59,238],"methods":[60],"focus":[61],"on":[62,231],"finding":[63],"common":[65,156,170,194,223],"feature":[66,152,203],"space":[67,157],"for":[68,125,250],"various":[69],"address":[73],"this":[74,77,118,128],"issue.":[75],"In":[76],"space,":[78],"their":[79,184],"similarity":[80],"relations":[81],"can":[82],"be":[83],"measured":[84],"directly":[85],"obtain":[87],"results":[91,249],"straight.":[92],"This":[93],"feasible":[96],"reasonable,":[98],"however,":[99],"specific":[101,140,166,190,212,221],"information":[102,141],"corresponding":[103],"sources":[109,216],"always":[111],"ignored,":[112],"limiting":[113],"performance.":[115],"To":[116,136],"overcome":[117],"limitation,":[119],"we":[120,196],"develop":[121,197],"new":[123],"model":[124],"paper":[129],"named":[130],"dual":[131],"collaborative":[133],"learning":[134,159,204],"(DMCL).":[135],"fully":[137],"explore":[138],"diverse":[143],"images,":[145],"DMCL":[146,244,258],"first":[147],"introduces":[148],"ResNet50":[149],"as":[150],"extractor.":[153],"Then,":[154],"mutual":[158],"module":[160],"developed":[162],"map":[164],"features":[167,182,224],"into":[168],"space.":[171],"Here,":[172],"discrepancy":[175],"reduced":[177],"aspects":[180],"distributions.":[185],"Finally,":[186],"supplement":[188],"knowledge":[191,213],"features,":[195],"transformation":[199],"dual-modality":[202],"modules.":[205],"Their":[206],"function":[207],"transmit":[210],"mutually":[217],"fuse":[219],"adaptively.":[225],"comprehensive":[227],"experiments":[228],"are":[229],"conducted":[230],"public":[233,252],"dataset.":[234],"Compared":[235],"with":[236],"many":[237],"methods,":[239],"behavior":[241],"our":[243],"stronger.":[246],"These":[247],"encouraging":[248],"dataset":[253],"indicate":[254],"that":[255],"proposed":[257],"useful":[260],"tasks.":[263]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
