{"id":"https://openalex.org/W4225910295","doi":"https://doi.org/10.1109/tgrs.2022.3170312","title":"A Collaborative Correlation-Matching Network for Multimodality Remote Sensing Image Classification","display_name":"A Collaborative Correlation-Matching Network for Multimodality Remote Sensing Image Classification","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4225910295","doi":"https://doi.org/10.1109/tgrs.2022.3170312"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3170312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3170312","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/A5065027008","display_name":"Wenping Ma","orcid":"https://orcid.org/0000-0001-8872-2195"},"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":"Wenping Ma","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0001-8872-2195","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100368149","display_name":"Na Li","orcid":"https://orcid.org/0000-0002-7869-6330"},"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":"Na Li","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-7869-6330","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058268359","display_name":"Hao Zhu","orcid":"https://orcid.org/0000-0003-4411-0933"},"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":"Hao Zhu","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0003-4411-0933","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010738592","display_name":"Kenan Sun","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":"Kenan Sun","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049165403","display_name":"Zhongle Ren","orcid":"https://orcid.org/0000-0002-5425-6437"},"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":"Zhongle Ren","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-5425-6437","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, 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":false,"raw_author_name":"Xu Tang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0003-1375-0778","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043022387","display_name":"Biao Hou","orcid":"https://orcid.org/0000-0002-1996-186X"},"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":"Biao Hou","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-1996-186X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, 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":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0003-3354-9617","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":1.4222,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.82129554,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9975000023841858,"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":0.9941999912261963,"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/multimodality","display_name":"Multimodality","score":0.7647697925567627},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7629679441452026},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6223008632659912},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6024230122566223},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5814732313156128},{"id":"https://openalex.org/keywords/panchromatic-film","display_name":"Panchromatic film","score":0.5691236257553101},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5662215948104858},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5472695827484131},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5471367835998535},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12989524006843567}],"concepts":[{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.7647697925567627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7629679441452026},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6223008632659912},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6024230122566223},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5814732313156128},{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.5691236257553101},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5662215948104858},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5472695827484131},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5471367835998535},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12989524006843567},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3170312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3170312","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":[{"display_name":"Peace, Justice and strong institutions","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G7678701110","display_name":null,"funder_award_id":"62006179","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8522733055","display_name":null,"funder_award_id":"62101405","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1583106483","https://openalex.org/W1983890202","https://openalex.org/W2007422950","https://openalex.org/W2036836025","https://openalex.org/W2038485909","https://openalex.org/W2038731361","https://openalex.org/W2048964123","https://openalex.org/W2092939357","https://openalex.org/W2116988482","https://openalex.org/W2132083787","https://openalex.org/W2158027388","https://openalex.org/W2158537567","https://openalex.org/W2160952634","https://openalex.org/W2171627515","https://openalex.org/W2194775991","https://openalex.org/W2519236071","https://openalex.org/W2739863421","https://openalex.org/W2758333383","https://openalex.org/W2793927960","https://openalex.org/W2806865914","https://openalex.org/W2884585870","https://openalex.org/W2900702559","https://openalex.org/W2948329096","https://openalex.org/W2949931722","https://openalex.org/W2963183385","https://openalex.org/W2964474048","https://openalex.org/W2966751049","https://openalex.org/W2991909137","https://openalex.org/W2997240345","https://openalex.org/W3004223502","https://openalex.org/W3022140654","https://openalex.org/W3023991509","https://openalex.org/W3040988483","https://openalex.org/W3041991648","https://openalex.org/W3042481550","https://openalex.org/W3043183554","https://openalex.org/W3048721516","https://openalex.org/W3115223653","https://openalex.org/W3115994626","https://openalex.org/W3134909147","https://openalex.org/W3146325045","https://openalex.org/W3159148793","https://openalex.org/W3176471072","https://openalex.org/W3183600011","https://openalex.org/W3188922649","https://openalex.org/W3209540366","https://openalex.org/W3210372881","https://openalex.org/W3213272555","https://openalex.org/W3216504652","https://openalex.org/W4205659311","https://openalex.org/W6638635224"],"related_works":["https://openalex.org/W1930929277","https://openalex.org/W2158394102","https://openalex.org/W2361746014","https://openalex.org/W1502637513","https://openalex.org/W2124952510","https://openalex.org/W2375311607","https://openalex.org/W2022261651","https://openalex.org/W2565514930","https://openalex.org/W2143372509","https://openalex.org/W3007156798"],"abstract_inverted_index":{"Recently,":[0],"with":[1,176],"the":[2,6,17,31,42,48,95,103,108,112,116,124,149,159,182],"increasing":[3],"availability":[4],"of":[5,151,162,181],"high-quality":[7],"panchromatic":[8],"(PAN)":[9],"and":[10,22,45,51,129,141,153],"multispectral":[11],"(MS)":[12],"remote":[13],"sensing":[14],"(RS)":[15],"images,":[16],"inherent":[18],"complementarity":[19],"between":[20,105,143],"PAN":[21,50],"MS":[23,52],"images":[24],"provides":[25],"a":[26,56,63,77],"wide":[27],"development":[28],"prospect":[29],"for":[30,68],"multimodality":[32,69,144,163,170],"RS":[33,70],"image":[34,71],"classification":[35],"task.":[36],"However,":[37],"how":[38],"to":[39,93,137,172],"cleverly":[40],"relieve":[41],"modal":[43],"differences":[44,104],"effectively":[46,157],"integrate":[47],"single-modality":[49,86],"features":[53,88,147,171,175],"is":[54,135,193],"still":[55],"challenge.":[57],"In":[58,111],"this":[59],"article,":[60],"we":[61,74,166],"design":[62],"collaborative":[64],"correlation-matching":[65],"network":[66],"(CCM-Net)":[67],"classification.":[72],"Concretely,":[73],"first":[75],"propose":[76],"bidirectional":[78],"dominant":[79,87],"feature":[80,109,113,119,126,131],"supervision":[81,91],"(Bi-DFS)":[82],"learning,":[83,122],"it":[84],"utilizes":[85],"as":[89],"supplementary":[90],"information":[92],"establish":[94,138],"joint":[96],"optimization":[97],"loss":[98],"function,":[99],"thereby":[100,156],"adaptively":[101],"narrowing":[102],"modalities":[106],"before":[107],"extraction.":[110],"extraction":[114],"stage,":[115],"interactive":[117,139],"correlation":[118,146],"matching":[120,127,132,140],"(ICFM)":[121],"composing":[123],"spatial":[125,152],"(Spa-FM)":[128],"spectral":[130],"(Spe-FM)":[133],"strategies,":[134],"proposed":[136,183],"enhancement":[142],"strong":[145],"from":[148],"perspective":[150],"spectral,":[154],"respectively,":[155],"alleviating":[158],"semantic":[160],"deviation":[161],"features.":[164],"Finally,":[165],"aggregate":[167],"finer":[168],"multilevel":[169],"obtain":[173],"top-level":[174],"high":[177],"discrimination.":[178],"The":[179],"effectiveness":[180],"algorithm":[184],"has":[185],"been":[186],"verified":[187],"on":[188],"multiple":[189],"datasets.":[190],"Our":[191],"code":[192],"available":[194],"at:https://github.com/Momuli/CCM-Net.git.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}