{"id":"https://openalex.org/W2948182274","doi":"https://doi.org/10.1109/jstars.2019.2916560","title":"Registration of Multimodal Remote Sensing Image Based on Deep Fully Convolutional Neural Network","display_name":"Registration of Multimodal Remote Sensing Image Based on Deep Fully Convolutional Neural Network","publication_year":2019,"publication_date":"2019-06-04","ids":{"openalex":"https://openalex.org/W2948182274","doi":"https://doi.org/10.1109/jstars.2019.2916560","mag":"2948182274"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2019.2916560","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2019.2916560","pdf_url":null,"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":false,"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":null,"license_id":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100399334","display_name":"Han Zhang","orcid":"https://orcid.org/0000-0002-7725-5322"},"institutions":[{"id":"https://openalex.org/I4210151975","display_name":"Northwest Institute of Nuclear Technology","ror":"https://ror.org/04svrh266","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210151975"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Han Zhang","raw_affiliation_strings":["Remote Sensing Data Processing Lab, Northwest Institute of Nuclear Technology, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-7725-5322","affiliations":[{"raw_affiliation_string":"Remote Sensing Data Processing Lab, Northwest Institute of Nuclear Technology, Xi'an, China","institution_ids":["https://openalex.org/I4210151975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102013700","display_name":"Weiping Ni","orcid":"https://orcid.org/0000-0002-0640-3922"},"institutions":[{"id":"https://openalex.org/I4210151975","display_name":"Northwest Institute of Nuclear Technology","ror":"https://ror.org/04svrh266","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210151975"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiping Ni","raw_affiliation_strings":["Northwest Institute of Nuclear Technology, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwest Institute of Nuclear Technology, Xi'an, China","institution_ids":["https://openalex.org/I4210151975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050761437","display_name":"Weidong Yan","orcid":"https://orcid.org/0000-0003-1226-8621"},"institutions":[{"id":"https://openalex.org/I4210151975","display_name":"Northwest Institute of Nuclear Technology","ror":"https://ror.org/04svrh266","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210151975"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Yan","raw_affiliation_strings":["Remote Sensing Data Processing Lab, Northwest Institute of Nuclear Technology, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Remote Sensing Data Processing Lab, Northwest Institute of Nuclear Technology, Xi'an, China","institution_ids":["https://openalex.org/I4210151975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023203007","display_name":"Deliang Xiang","orcid":"https://orcid.org/0000-0003-0152-6621"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Deliang Xiang","raw_affiliation_strings":["Division of Geoinformatics, KTH Royal Institute of Technology, Stockholm, Sweden"],"raw_orcid":"https://orcid.org/0000-0003-0152-6621","affiliations":[{"raw_affiliation_string":"Division of Geoinformatics, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051459019","display_name":"Junzheng Wu","orcid":"https://orcid.org/0000-0002-1825-8988"},"institutions":[{"id":"https://openalex.org/I4210151975","display_name":"Northwest Institute of Nuclear Technology","ror":"https://ror.org/04svrh266","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210151975"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junzheng Wu","raw_affiliation_strings":["Remote Sensing Data Processing Lab, Northwest Institute of Nuclear Technology, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Remote Sensing Data Processing Lab, Northwest Institute of Nuclear Technology, Xi'an, China","institution_ids":["https://openalex.org/I4210151975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100748474","display_name":"Xiaoliang Yang","orcid":"https://orcid.org/0000-0002-9353-8373"},"institutions":[{"id":"https://openalex.org/I4210151975","display_name":"Northwest Institute of Nuclear Technology","ror":"https://ror.org/04svrh266","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210151975"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoliang Yang","raw_affiliation_strings":["Remote Sensing Data Processing Lab, Northwest Institute of Nuclear Technology, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Remote Sensing Data Processing Lab, Northwest Institute of Nuclear Technology, Xi'an, China","institution_ids":["https://openalex.org/I4210151975"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100945435","display_name":"Bian Hui","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151975","display_name":"Northwest Institute of Nuclear Technology","ror":"https://ror.org/04svrh266","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210151975"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Bian","raw_affiliation_strings":["Remote Sensing Data Processing Lab, Northwest Institute of Nuclear Technology, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Remote Sensing Data Processing Lab, Northwest Institute of Nuclear Technology, Xi'an, China","institution_ids":["https://openalex.org/I4210151975"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100399334"],"corresponding_institution_ids":["https://openalex.org/I4210151975"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":5.8172,"has_fulltext":false,"cited_by_count":137,"citation_normalized_percentile":{"value":0.96900654,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"12","issue":"8","first_page":"3028","last_page":"3042"},"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":0.9993000030517578,"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":0.9993000030517578,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.991599977016449,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7996212244033813},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7675396203994751},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7185754776000977},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6165224313735962},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5780243873596191},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5455328226089478},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5405861139297485},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.49936866760253906},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4799123704433441},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47940489649772644},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47853001952171326},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3764594793319702}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7996212244033813},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7675396203994751},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7185754776000977},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6165224313735962},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5780243873596191},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5455328226089478},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5405861139297485},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.49936866760253906},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4799123704433441},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47940489649772644},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47853001952171326},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3764594793319702},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2019.2916560","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2019.2916560","pdf_url":null,"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":false,"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":null,"license_id":null,"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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W764651262","https://openalex.org/W1505641881","https://openalex.org/W1599132067","https://openalex.org/W1677409904","https://openalex.org/W1869500417","https://openalex.org/W1901447884","https://openalex.org/W1929856797","https://openalex.org/W1966599063","https://openalex.org/W2000850369","https://openalex.org/W2025768430","https://openalex.org/W2026312024","https://openalex.org/W2030233108","https://openalex.org/W2048710758","https://openalex.org/W2058409096","https://openalex.org/W2064321946","https://openalex.org/W2104985274","https://openalex.org/W2111308925","https://openalex.org/W2117228865","https://openalex.org/W2126060993","https://openalex.org/W2128237624","https://openalex.org/W2134244141","https://openalex.org/W2139309694","https://openalex.org/W2144796873","https://openalex.org/W2145072179","https://openalex.org/W2147555557","https://openalex.org/W2151103935","https://openalex.org/W2161035581","https://openalex.org/W2161969291","https://openalex.org/W2177274842","https://openalex.org/W2219193941","https://openalex.org/W2320444803","https://openalex.org/W2345643369","https://openalex.org/W2470394683","https://openalex.org/W2489710028","https://openalex.org/W2501907080","https://openalex.org/W2589547048","https://openalex.org/W2598666589","https://openalex.org/W2604920239","https://openalex.org/W2608922915","https://openalex.org/W2618039218","https://openalex.org/W2737094507","https://openalex.org/W2737260104","https://openalex.org/W2760923572","https://openalex.org/W2764034829","https://openalex.org/W2769050002","https://openalex.org/W2781542913","https://openalex.org/W2781778455","https://openalex.org/W2782522152","https://openalex.org/W2786355301","https://openalex.org/W2791873954","https://openalex.org/W2884721812","https://openalex.org/W2898832277","https://openalex.org/W2900468052","https://openalex.org/W2900765460","https://openalex.org/W2963157250","https://openalex.org/W2963713828","https://openalex.org/W2963729050","https://openalex.org/W3145984249","https://openalex.org/W4289744446","https://openalex.org/W6637400245","https://openalex.org/W6640083356","https://openalex.org/W6675679973","https://openalex.org/W6679057852","https://openalex.org/W6681554747","https://openalex.org/W6738345448","https://openalex.org/W6753737009","https://openalex.org/W6755733606","https://openalex.org/W6764350350"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W4293226380","https://openalex.org/W2357409937","https://openalex.org/W2978674666","https://openalex.org/W2074430941","https://openalex.org/W2113096305","https://openalex.org/W2580722822","https://openalex.org/W2772305933","https://openalex.org/W1486338765"],"abstract_inverted_index":{"Multimodal":[0],"image":[1,55,64,118,146],"registration":[2,147],"is":[3,27,59,71,124,148,165],"the":[4,21,44,60,83,87,100,106,111,115,151,183],"fundamental":[5],"technique":[6],"for":[7,53,128,134,140],"scene":[8],"analysis":[9],"with":[10,76],"series":[11],"remote":[12],"sensing":[13],"images":[14,35],"of":[15,36,63,85,99,170],"different":[16,37],"spectrum":[17],"region.":[18],"Due":[19],"to":[20,30,43,50],"highly":[22],"nonlinear":[23],"radiometric":[24],"relationship,":[25],"it":[26],"quite":[28],"challenging":[29],"find":[31],"common":[32],"features":[33],"between":[34,90,114],"modal":[38],"types.":[39],"This":[40],"paper":[41],"resorts":[42],"deep":[45,141],"neural":[46],"network,":[47],"and":[48,74,92,159,177],"tries":[49],"learn":[51],"descriptors":[52],"multimodal":[54,144],"patch":[56],"matching,":[57],"which":[58,81],"key":[61],"issue":[62],"registration.":[65],"A":[66,137],"Siamese":[67,101],"fully":[68],"convolutional":[69,107],"network":[70,102,164],"set":[72],"up":[73],"trained":[75],"a":[77,168],"novel":[78],"loss":[79],"function,":[80],"adopts":[82],"strategy":[84],"maximizing":[86],"feature":[88,142,156],"distance":[89],"positive":[91],"hard":[93],"negative":[94],"samples.":[95],"The":[96,120,162],"two":[97,116],"branches":[98],"are":[103],"connected":[104],"by":[105],"operation,":[108],"resulting":[109],"in":[110],"similarity":[112,121],"score":[113,122],"input":[117],"patches.":[119],"value":[123],"used,":[125],"not":[126],"only":[127],"correspondence":[129],"point":[130,157],"location,":[131],"but":[132],"also":[133],"outlier":[135,160],"identification.":[136],"generalized":[138],"workflow":[139],"based":[143],"RS":[145],"constructed,":[149],"including":[150],"training":[152],"data":[153],"curation,":[154],"candidate":[155],"generation,":[158],"removal.":[161],"proposed":[163],"tested":[166],"on":[167],"variety":[169],"optical,":[171],"near":[172],"infrared,":[173,175],"thermal":[174],"SAR,":[176],"map":[178],"images.":[179],"Experiment":[180],"results":[181],"verify":[182],"superiority":[184],"over":[185],"other":[186],"state-of-the-art":[187],"approaches.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":29},{"year":2023,"cited_by_count":33},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":26},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}