{"id":"https://openalex.org/W7131236501","doi":"https://doi.org/10.1109/vcip67698.2025.11396861","title":"Geospatially-Aware Multi-Modal Fusion for Satellite Image Manipulation Detection","display_name":"Geospatially-Aware Multi-Modal Fusion for Satellite Image Manipulation Detection","publication_year":2025,"publication_date":"2025-12-01","ids":{"openalex":"https://openalex.org/W7131236501","doi":"https://doi.org/10.1109/vcip67698.2025.11396861"},"language":null,"primary_location":{"id":"doi:10.1109/vcip67698.2025.11396861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip67698.2025.11396861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Visual Communications and Image Processing (VCIP)","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/A5108674958","display_name":"Matthew Chapman","orcid":null},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Matthew W Chapman","raw_affiliation_strings":["Newcastle University,School of Engineering,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newcastle University,School of Engineering,United Kingdom","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050475689","display_name":"Andrew Tewkesbury","orcid":null},"institutions":[{"id":"https://openalex.org/I103167339","display_name":"Airbus (Italy)","ror":"https://ror.org/00v8s1x79","country_code":"IT","type":"company","lineage":["https://openalex.org/I103167339","https://openalex.org/I4210121748"]},{"id":"https://openalex.org/I94706221","display_name":"Airbus (United Kingdom)","ror":"https://ror.org/02hbhxa68","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210121748","https://openalex.org/I94706221"]}],"countries":["GB","IT"],"is_corresponding":false,"raw_author_name":"Andrew Tewkesbury","raw_affiliation_strings":["Airbus Defense and Space Ltd,Space Digital,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Airbus Defense and Space Ltd,Space Digital,United Kingdom","institution_ids":["https://openalex.org/I103167339","https://openalex.org/I94706221"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050842977","display_name":"Doreen S. Boyd","orcid":"https://orcid.org/0000-0003-3040-552X"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Doreen S Boyd","raw_affiliation_strings":["University of Nottingham,School of Geography,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nottingham,School of Geography,United Kingdom","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091089738","display_name":"Bogus\u0142aw Obara","orcid":"https://orcid.org/0000-0003-4084-7778"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Boguslaw Obara","raw_affiliation_strings":["Newcastle University,School of Computing,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newcastle University,School of Computing,United Kingdom","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088113932","display_name":"Deepayan Bhowmik","orcid":"https://orcid.org/0000-0003-1762-1578"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Deepayan Bhowmik","raw_affiliation_strings":["Newcastle University,School of Computing,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newcastle University,School of Computing,United Kingdom","institution_ids":["https://openalex.org/I84884186"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.66194172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.15479999780654907,"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":0.15479999780654907,"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/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.13770000636577606,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.09430000185966492,"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/satellite","display_name":"Satellite","score":0.72079998254776},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6008999943733215},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.5444999933242798},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4221000075340271},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4081999957561493},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.40779998898506165},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4002000093460083},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.388700008392334}],"concepts":[{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.72079998254776},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6751999855041504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6359000205993652},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6008999943733215},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.5444999933242798},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4763000011444092},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4221000075340271},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4081999957561493},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.40779998898506165},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4002000093460083},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.388700008392334},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3885999917984009},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33489999175071716},{"id":"https://openalex.org/C2985301230","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite image","level":3,"score":0.31929999589920044},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.313400000333786},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.2971000075340271},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.29269999265670776},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.2912999987602234},{"id":"https://openalex.org/C2987528665","wikidata":"https://www.wikidata.org/wiki/Q854845","display_name":"Earth observation satellite","level":3,"score":0.2912999987602234},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.2671999931335449},{"id":"https://openalex.org/C145804949","wikidata":"https://www.wikidata.org/wiki/Q478123","display_name":"Situation awareness","level":2,"score":0.2596000134944916},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.25270000100135803},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip67698.2025.11396861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip67698.2025.11396861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321788","display_name":"Airbus","ror":"https://ror.org/023qdcg29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2009130368","https://openalex.org/W2017745767","https://openalex.org/W2412782625","https://openalex.org/W2948407537","https://openalex.org/W3012297845","https://openalex.org/W3158878203","https://openalex.org/W3174285742","https://openalex.org/W4293843080","https://openalex.org/W4312669261","https://openalex.org/W4312933868","https://openalex.org/W4313201808","https://openalex.org/W4386075803","https://openalex.org/W4390873054","https://openalex.org/W4402727293","https://openalex.org/W4403191730","https://openalex.org/W4404315593","https://openalex.org/W4407785579","https://openalex.org/W4409505044"],"related_works":[],"abstract_inverted_index":{"In":[0,107],"recent":[1],"years,":[2],"the":[3,20,31,112,159,162,176,196],"rapid":[4],"advancement":[5],"of":[6,23,33,114,119,161,189],"generative":[7],"AI":[8],"tools,":[9],"such":[10],"as":[11],"Stable":[12],"Diffusion":[13],"and":[14,30,73,75,84,144,168],"Generative":[15],"Adversarial":[16],"Networks,":[17],"have":[18,38],"enabled":[19],"realistic":[21,128],"manipulation":[22,137],"images,":[24,44,52,56,124],"raising":[25],"concerns":[26],"about":[27],"misinformation,":[28],"fraud,":[29],"integrity":[32],"imagery.":[34],"While":[35],"these":[36,61,97],"tools":[37],"been":[39],"predominantly":[40],"applied":[41],"to":[42,79,126,147,157,170,174],"conventional":[43],"there":[45,91],"is":[46,92],"a":[47,93,115,134,171,185,192],"substantial":[48,94],"risk":[49,95,177],"that":[50,90,96],"geospatial":[51],"in":[53,69,164],"particular":[54],"satellite":[55,123,152,165,181],"could":[57],"be":[58],"manipulated":[59,122,149,180],"using":[60],"tools.":[62],"Satellite":[63],"images":[64,98],"are":[65],"being":[66],"increasingly":[67],"utilized":[68],"journalism,":[70],"environmental":[71],"monitoring,":[72],"military":[74],"humanitarian":[76],"planning,":[77],"due":[78],"their":[80],"ever-increasing":[81],"spatial":[82],"resolution":[83],"accessibility.":[85],"Therefore,":[86],"we":[87,110,132],"can":[88],"determine":[89],"may":[99],"become":[100],"an":[101],"attractive":[102],"target":[103],"for":[104],"malicious":[105],"manipulation.":[106],"this":[108],"work,":[109],"introduce":[111],"development":[113],"novel":[116],"dataset":[117],"consisting":[118],"high-resolution":[120],"context-aware":[121],"designed":[125],"reflect":[127],"adversarial":[129],"scenarios.":[130],"Furthermore,":[131],"develop":[133],"multimodal,":[135],"geospatially-aware":[136],"detection":[138],"system,":[139],"which":[140],"utilizes":[141],"contextual":[142],"information":[143],"deep":[145],"learning":[146],"identify":[148],"regions":[150],"within":[151],"images.":[153,182],"Our":[154],"approach":[155],"aims":[156],"advance":[158],"state":[160],"art":[163],"image":[166],"forensics":[167],"contribute":[169],"robust":[172],"framework":[173],"mitigate":[175],"posed":[178],"by":[179],"We":[183],"report":[184],"macro-averaged":[186],"F1":[187],"score":[188],"0.82,":[190],"representing":[191],"43%":[193],"improvement":[194],"over":[195],"current":[197],"state-of-the-art":[198],"benchmark.":[199]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-02-25T00:00:00"}