{"id":"https://openalex.org/W4404501237","doi":"https://doi.org/10.3390/rs16224311","title":"Multi-Scenario Remote Sensing Image Forgery Detection Based on Transformer and Model Fusion","display_name":"Multi-Scenario Remote Sensing Image Forgery Detection Based on Transformer and Model Fusion","publication_year":2024,"publication_date":"2024-11-19","ids":{"openalex":"https://openalex.org/W4404501237","doi":"https://doi.org/10.3390/rs16224311"},"language":"en","primary_location":{"id":"doi:10.3390/rs16224311","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16224311","pdf_url":null,"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://doi.org/10.3390/rs16224311","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071607803","display_name":"Jinmiao Zhao","orcid":"https://orcid.org/0009-0005-4700-7183"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinmiao Zhao","raw_affiliation_strings":["Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China","Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China","Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024256567","display_name":"Zelin Shi","orcid":"https://orcid.org/0000-0001-7059-6477"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zelin Shi","raw_affiliation_strings":["Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China","Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042248392","display_name":"Chuang Yu","orcid":"https://orcid.org/0000-0003-3185-3578"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuang Yu","raw_affiliation_strings":["Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China","Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China","Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108058498","display_name":"Yunpeng Liu","orcid":"https://orcid.org/0000-0002-0959-0209"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunpeng Liu","raw_affiliation_strings":["Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China","Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024256567"],"corresponding_institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.0468,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78852369,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"16","issue":"22","first_page":"4311","last_page":"4311"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9976999759674072,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9976999759674072,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9905999898910522,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9901000261306763,"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/image-fusion","display_name":"Image fusion","score":0.5286539196968079},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.518184244632721},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5036818385124207},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.43102747201919556},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4276600182056427},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.42114049196243286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3889974057674408},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3198533058166504},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.25654029846191406}],"concepts":[{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5286539196968079},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.518184244632721},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5036818385124207},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.43102747201919556},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4276600182056427},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.42114049196243286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3889974057674408},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3198533058166504},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.25654029846191406},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16224311","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16224311","pdf_url":null,"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:865e57a3290d41c08c7b4e3ae6b789db","is_oa":true,"landing_page_url":"https://doaj.org/article/865e57a3290d41c08c7b4e3ae6b789db","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 22, p 4311 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16224311","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16224311","pdf_url":null,"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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W2008056655","https://openalex.org/W2108598243","https://openalex.org/W2158479016","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2531409750","https://openalex.org/W2549139847","https://openalex.org/W2803187616","https://openalex.org/W2909336075","https://openalex.org/W2946948417","https://openalex.org/W2962793481","https://openalex.org/W2962860144","https://openalex.org/W2963446712","https://openalex.org/W2964209573","https://openalex.org/W2991318208","https://openalex.org/W3031973383","https://openalex.org/W3035063907","https://openalex.org/W3093010840","https://openalex.org/W3096831136","https://openalex.org/W3124826036","https://openalex.org/W3138516171","https://openalex.org/W3157528469","https://openalex.org/W3158878203","https://openalex.org/W3174814557","https://openalex.org/W3182635745","https://openalex.org/W4226334005","https://openalex.org/W4282021368","https://openalex.org/W4285259796","https://openalex.org/W4285283611","https://openalex.org/W4312349930","https://openalex.org/W4312443924","https://openalex.org/W4312669261","https://openalex.org/W4312671791","https://openalex.org/W4382203396","https://openalex.org/W4386075803","https://openalex.org/W4386075856","https://openalex.org/W4386180675","https://openalex.org/W4386699372","https://openalex.org/W4389890887","https://openalex.org/W4400433598","https://openalex.org/W4401634048","https://openalex.org/W6739901393","https://openalex.org/W6839741364","https://openalex.org/W6854086509","https://openalex.org/W6856193813"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331","https://openalex.org/W2095903272"],"abstract_inverted_index":{"Recently,":[0],"remote":[1],"sensing":[2],"image":[3],"forgery":[4],"detection":[5,13],"has":[6,207],"received":[7],"widespread":[8],"attention.":[9],"To":[10],"improve":[11,133],"the":[12,44,56,85,93,100,106,115,130,134,137,145,161,169,191,194,204,216,229],"accuracy,":[14],"we":[15,27,42,64,98,148,172],"build":[16],"a":[17,32,118,174],"novel":[18],"scheme":[19,206,211],"based":[20],"on":[21,38,72,144,165,235],"Transformer":[22,77,80],"and":[23,82,88,153,185],"model":[24,28],"fusion.":[25],"Specifically,":[26],"this":[29,53,62],"task":[30,35,54],"as":[31,84],"binary":[33],"classification":[34,59],"that":[36,70,180,203],"focuses":[37],"global":[39,73],"information.":[40],"First,":[41],"explore":[43,149],"performance":[45],"of":[46,96,193,224,228],"various":[47],"excellent":[48,208],"feature":[49,112],"extraction":[50],"networks":[51,69,87],"in":[52,136,215,219],"under":[55],"constructed":[57],"unified":[58],"framework.":[60],"On":[61,168],"basis,":[63],"select":[65,154],"three":[66],"high-performance":[67],"Transformer-based":[68],"focus":[71],"information,":[74],"namely,":[75],"Swin":[76,79],"V1,":[78],"V2,":[81],"Twins,":[83],"backbone":[86],"fuse":[89],"them.":[90],"Secondly,":[91],"considering":[92],"small":[94],"number":[95],"samples,":[97],"use":[99],"public":[101],"ImageNet-1K":[102],"dataset":[103],"to":[104,108,132,140],"pre-train":[105],"network":[107,142,195],"learn":[109],"more":[110],"stable":[111],"expressions.":[113],"At":[114],"same":[116],"time,":[117],"circular":[119],"data":[120],"divide":[121],"strategy":[122,179],"is":[123],"proposed,":[124],"which":[125,158,189],"can":[126,159],"fully":[127],"utilize":[128],"all":[129],"samples":[131],"accuracy":[135],"competition.":[138],"Finally,":[139],"promote":[141],"optimization,":[143],"one":[146],"hand,":[147,171],"multiple":[150],"loss":[151],"functions":[152],"label":[155],"smooth":[156],"loss,":[157],"reduce":[160],"model\u2019s":[162],"excessive":[163],"dependence":[164],"training":[166],"data.":[167],"other":[170],"construct":[173],"combined":[175],"learning":[176],"rate":[177],"optimization":[178],"first":[181],"uses":[182],"step":[183],"degeneration":[184],"then":[186],"cosine":[187],"annealing,":[188],"reduces":[190],"risk":[192],"falling":[196],"into":[197],"local":[198],"optima.":[199],"Extensive":[200],"experiments":[201],"show":[202],"proposed":[205],"performance.":[209],"This":[210],"won":[212],"seventh":[213],"place":[214],"\u201cForgery":[217],"Detection":[218],"Multi-scenario":[220],"Remote":[221,240],"Sensing":[222,241],"Images":[223],"Typical":[225],"Objects\u201d":[226],"track":[227],"2024":[230],"ISPRS":[231],"TC":[232],"I":[233],"contest":[234],"Intelligent":[236],"Interpretation":[237],"for":[238],"Multi-modal":[239],"Application.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-02-28T09:26:25.869077","created_date":"2025-10-10T00:00:00"}
