{"id":"https://openalex.org/W3206975715","doi":"https://doi.org/10.1109/igarss47720.2021.9553415","title":"Similarity Measure with Additional Modality Information for Multimodal Remote Sensing Images","display_name":"Similarity Measure with Additional Modality Information for Multimodal Remote Sensing Images","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3206975715","doi":"https://doi.org/10.1109/igarss47720.2021.9553415","mag":"3206975715"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9553415","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"},"type":"conference-paper","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/A5001582997","display_name":"Mykhail. M. Uss","orcid":null},"institutions":[{"id":"https://openalex.org/I23686167","display_name":"National Aerospace University \u2013 Kharkiv Aviation Institute","ror":"https://ror.org/048j5n646","country_code":"UA","type":"education","lineage":["https://openalex.org/I23686167"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Mykhail. M. Uss","raw_affiliation_strings":["National Aerospace University, Kharkov, Ukraine","National Aerospace University (Ukraine)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Aerospace University, Kharkov, Ukraine","institution_ids":["https://openalex.org/I23686167"]},{"raw_affiliation_string":"National Aerospace University (Ukraine)","institution_ids":["https://openalex.org/I23686167"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106691452","display_name":"Beno\u00eet Vozel","orcid":"https://orcid.org/0000-0002-1920-2847"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210100151","display_name":"Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique","ror":"https://ror.org/013q33h79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I28221208","https://openalex.org/I4210095849","https://openalex.org/I4210100151","https://openalex.org/I56067802","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Benoit Vozel","raw_affiliation_strings":["University of Rennes 1, IETR UMR CNRS 6164, France","IETR - Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique (Campus de Beaulieu B\u00e2timent 11D\r\n263 Av.G\u00e9n\u00e9ral Leclerc-CS 74205\r\n 35042 Rennes Cedex - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rennes 1, IETR UMR CNRS 6164, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210100151","https://openalex.org/I56067802"]},{"raw_affiliation_string":"IETR - Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique (Campus de Beaulieu B\u00e2timent 11D\r\n263 Av.G\u00e9n\u00e9ral Leclerc-CS 74205\r\n 35042 Rennes Cedex - France)","institution_ids":["https://openalex.org/I4210100151"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011325512","display_name":"Vladimir Lukin","orcid":"https://orcid.org/0000-0002-1443-9685"},"institutions":[{"id":"https://openalex.org/I23686167","display_name":"National Aerospace University \u2013 Kharkiv Aviation Institute","ror":"https://ror.org/048j5n646","country_code":"UA","type":"education","lineage":["https://openalex.org/I23686167"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Vladimir V. Lukin","raw_affiliation_strings":["National Aerospace University, Kharkov, Ukraine","National Aerospace University (Ukraine)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Aerospace University, Kharkov, Ukraine","institution_ids":["https://openalex.org/I23686167"]},{"raw_affiliation_string":"National Aerospace University (Ukraine)","institution_ids":["https://openalex.org/I23686167"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038728763","display_name":"Kacem Chehdi","orcid":"https://orcid.org/0000-0003-2659-812X"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210100151","display_name":"Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique","ror":"https://ror.org/013q33h79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I28221208","https://openalex.org/I4210095849","https://openalex.org/I4210100151","https://openalex.org/I56067802","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Kacem Chehdi","raw_affiliation_strings":["University of Rennes 1, IETR UMR CNRS 6164, France","IETR - Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique (Campus de Beaulieu B\u00e2timent 11D\r\n263 Av.G\u00e9n\u00e9ral Leclerc-CS 74205\r\n 35042 Rennes Cedex - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rennes 1, IETR UMR CNRS 6164, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210100151","https://openalex.org/I56067802"]},{"raw_affiliation_string":"IETR - Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique (Campus de Beaulieu B\u00e2timent 11D\r\n263 Av.G\u00e9n\u00e9ral Leclerc-CS 74205\r\n 35042 Rennes Cedex - France)","institution_ids":["https://openalex.org/I4210100151"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3245","last_page":"3248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9979000091552734,"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":0.9979000091552734,"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":0.9904999732971191,"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":0.9800999760627747,"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":0.7427574396133423},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6676690578460693},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.6071134805679321},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6038695573806763},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5676745176315308},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5497378706932068},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.525393545627594},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5194989442825317},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5136148929595947},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48358219861984253},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.45001310110092163},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3462832570075989},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34071844816207886},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22835475206375122},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19157081842422485},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11917299032211304}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7427574396133423},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6676690578460693},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.6071134805679321},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6038695573806763},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5676745176315308},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5497378706932068},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.525393545627594},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5194989442825317},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5136148929595947},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48358219861984253},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.45001310110092163},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3462832570075989},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34071844816207886},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22835475206375122},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19157081842422485},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11917299032211304}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss47720.2021.9553415","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-05226618v1","is_oa":false,"landing_page_url":"https://hal.science/hal-05226618","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Jul 2021, Brussels, France. pp.3245-3248, &#x27E8;10.1109/IGARSS47720.2021.9553415&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1836465849","https://openalex.org/W1983592655","https://openalex.org/W2025970222","https://openalex.org/W2147555557","https://openalex.org/W2151103935","https://openalex.org/W2158698691","https://openalex.org/W2219193941","https://openalex.org/W2290958930","https://openalex.org/W2589547048","https://openalex.org/W2737260104","https://openalex.org/W2949117887","https://openalex.org/W2951060728","https://openalex.org/W2963713828","https://openalex.org/W2964121744","https://openalex.org/W3008381818","https://openalex.org/W3028177366","https://openalex.org/W3145984249","https://openalex.org/W6631190155","https://openalex.org/W6638667902"],"related_works":["https://openalex.org/W2385859805","https://openalex.org/W2530972254","https://openalex.org/W4293226380","https://openalex.org/W2319693127","https://openalex.org/W308539617","https://openalex.org/W2072263576","https://openalex.org/W2474567666","https://openalex.org/W1940044583","https://openalex.org/W2806903871","https://openalex.org/W4320802053"],"abstract_inverted_index":{"This":[0],"paper":[1],"considers":[2],"the":[3,36,78,85,110,147],"problem":[4],"of":[5,31,38,65,100,137],"learning":[6],"efficient":[7,27],"similarity":[8],"measure":[9],"(SM)":[10],"for":[11,28,62,97,109,135],"multimodal":[12],"remote":[13],"sensing":[14],"(RS)":[15],"images.":[16],"It":[17],"is":[18,26,49,59],"desirable":[19],"to":[20,51,74,84],"have":[21],"a":[22],"single":[23],"SM":[24,43,54,95,106],"that":[25,47],"different":[29],"combinations":[30,64,99,136],"modes.":[32,66],"We":[33,45,104],"first":[34],"consider":[35],"influence":[37],"training":[39],"dataset":[40],"balancing":[41],"on":[42],"efficiency.":[44],"demonstrate":[46],"it":[48],"possible":[50],"improve":[52],"overall":[53],"performance.":[55],"However,":[56],"this":[57,70,92],"improvement":[58,108],"observed":[60],"only":[61],"some":[63],"To":[67],"cope":[68],"with":[69,151],"problem,":[71],"we":[72],"propose":[73],"include":[75],"information":[76],"about":[77],"modes":[79,101,138],"compared":[80],"as":[81],"additional":[82,93],"input":[83],"proposed":[86,148],"Convolutional":[87],"Neural":[88],"Network":[89],"(CNN).":[90],"With":[91],"information,":[94],"performance":[96,150],"all":[98],"was":[102],"improved.":[103],"confirm":[105],"efficiency":[107],"real":[111],"data":[112],"from":[113],"Sentinel":[114,121],"2,":[115,127],"Landsat":[116],"8,":[117],"Hyperion,":[118],"SIR-C,":[119],"and":[120,128,134,143,145],"1":[122],"platforms,":[123],"ASTER":[124],"Global":[125],"DEM":[126],"ALOS":[129],"World":[130],"30m":[131],"global":[132],"DEMs":[133],"including":[139],"optical-to-optical,":[140],"optical-to-radar,":[141],"optical-to-DEM":[142],"radar-to-DEM":[144],"compare":[146],"CNN":[149],"existing":[152],"SMs.":[153]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
