{"id":"https://openalex.org/W4381187625","doi":"https://doi.org/10.1145/3577163.3595101","title":"Comprehensive Dataset of Synthetic and Manipulated Overhead Imagery for Development and Evaluation of Forensic Tools","display_name":"Comprehensive Dataset of Synthetic and Manipulated Overhead Imagery for Development and Evaluation of Forensic Tools","publication_year":2023,"publication_date":"2023-06-19","ids":{"openalex":"https://openalex.org/W4381187625","doi":"https://doi.org/10.1145/3577163.3595101"},"language":"en","primary_location":{"id":"doi:10.1145/3577163.3595101","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3577163.3595101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 ACM Workshop on Information Hiding and Multimedia Security","raw_type":"proceedings-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/A5020660749","display_name":"Brandon B. May","orcid":"https://orcid.org/0000-0002-9914-2441"},"institutions":[{"id":"https://openalex.org/I4210157070","display_name":"Systems and Technology Research (United States)","ror":"https://ror.org/055he9s77","country_code":"US","type":"company","lineage":["https://openalex.org/I4210157070"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brandon B. May","raw_affiliation_strings":["STR, Woburn, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STR, Woburn, MA, USA","institution_ids":["https://openalex.org/I4210157070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065379886","display_name":"Kirill Trapeznikov","orcid":null},"institutions":[{"id":"https://openalex.org/I4210157070","display_name":"Systems and Technology Research (United States)","ror":"https://ror.org/055he9s77","country_code":"US","type":"company","lineage":["https://openalex.org/I4210157070"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kirill Trapeznikov","raw_affiliation_strings":["STR, Woburn, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STR, Woburn, MA, USA","institution_ids":["https://openalex.org/I4210157070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066587882","display_name":"Shengbang Fang","orcid":"https://orcid.org/0000-0003-0317-6813"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shengbang Fang","raw_affiliation_strings":["Drexel University, Philadelphia, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Drexel University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023433042","display_name":"Matthew C. Stamm","orcid":"https://orcid.org/0000-0002-3986-4039"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Stamm","raw_affiliation_strings":["Drexel University, Philadelphia, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Drexel University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I72816309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4491,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62804727,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"145","last_page":"150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9725000262260437,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9713000059127808,"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":0.8106613159179688},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.7538846731185913},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6392822265625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5907762050628662},{"id":"https://openalex.org/keywords/zoom","display_name":"Zoom","score":0.5523421168327332},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5025150775909424},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.4827513098716736},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.47029778361320496},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41988348960876465},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3683604598045349},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3387097716331482},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.08035534620285034},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07738286256790161}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8106613159179688},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.7538846731185913},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6392822265625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5907762050628662},{"id":"https://openalex.org/C124913957","wikidata":"https://www.wikidata.org/wiki/Q1232548","display_name":"Zoom","level":3,"score":0.5523421168327332},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5025150775909424},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.4827513098716736},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.47029778361320496},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41988348960876465},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3683604598045349},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3387097716331482},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.08035534620285034},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07738286256790161},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3577163.3595101","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3577163.3595101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 ACM Workshop on Information Hiding and Multimedia Security","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5600000023841858,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W79315950","https://openalex.org/W1983586459","https://openalex.org/W2802701183","https://openalex.org/W2888338418","https://openalex.org/W2967473420","https://openalex.org/W2995695852","https://openalex.org/W3034530968","https://openalex.org/W3035061161","https://openalex.org/W3035574324","https://openalex.org/W3036167779","https://openalex.org/W3088527134","https://openalex.org/W3111523766","https://openalex.org/W3135367836","https://openalex.org/W3158878203","https://openalex.org/W3162926177","https://openalex.org/W3166396011","https://openalex.org/W3205031241","https://openalex.org/W4212774754","https://openalex.org/W4221149691","https://openalex.org/W4224035735","https://openalex.org/W4226125322","https://openalex.org/W4226317937","https://openalex.org/W4226339344","https://openalex.org/W4281485151","https://openalex.org/W4296565758","https://openalex.org/W4308165186","https://openalex.org/W4312497550","https://openalex.org/W4312933868","https://openalex.org/W6604756355","https://openalex.org/W6637568146","https://openalex.org/W6771275388","https://openalex.org/W6779823529","https://openalex.org/W6795288823","https://openalex.org/W6846824663"],"related_works":["https://openalex.org/W2788595494","https://openalex.org/W2244676099","https://openalex.org/W3172556642","https://openalex.org/W4377088509","https://openalex.org/W4384517922","https://openalex.org/W3035069238","https://openalex.org/W3182611934","https://openalex.org/W4225274307","https://openalex.org/W2514264328","https://openalex.org/W3145367191"],"abstract_inverted_index":{"We":[0,51,76,107],"present":[1],"a":[2,32],"first":[3],"of":[4,8,15,21,40,48,59,90,96,121],"its":[5],"kind":[6],"dataset":[7,19,118],"overhead":[9,28],"imagery":[10,29,66,81],"for":[11],"development":[12],"and":[13,25,44,70,74,86,99,123,129],"evaluation":[14],"forensic":[16],"tools.":[17],"Our":[18],"consists":[20],"real,":[22],"fully":[23,64,122],"synthetic":[24,65],"partially":[26,124],"manipulated":[27,91,125],"generated":[30,71],"from":[31],"custom":[33],"diffusion":[34],"model":[35,54],"trained":[36],"on":[37,45,68,112],"two":[38,46],"sets":[39],"different":[41],"zoom":[42],"levels":[43],"sources":[47],"pristine":[49],"data.":[50],"developed":[52],"our":[53,117],"to":[55],"support":[56,78],"controllable":[57],"generation":[58],"multiple":[60],"manipulation":[61,105,127],"categories":[62],"including":[63,119],"conditioned":[67],"real":[69],"base":[72],"maps,":[73],"location.":[75],"also":[77,108],"partial":[79],"in-painted":[80],"with":[82,87],"same":[83],"conditioning":[84],"options":[85],"several":[88,113],"types":[89],"content.":[92],"The":[93],"data":[94],"consist":[95],"raw":[97],"images":[98],"ground":[100],"truth":[101],"annotations":[102],"describing":[103],"the":[104],"parameters.":[106],"report":[109],"benchmark":[110],"performance":[111],"tasks":[114],"supported":[115],"by":[116],"detection":[120],"imagery,":[126],"localization":[128],"classification.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}