{"id":"https://openalex.org/W4402264773","doi":"https://doi.org/10.1109/igarss53475.2024.10640764","title":"Flood Simulation: Integrating UAS Imagery and Ai-Generated Data With Diffusion Model","display_name":"Flood Simulation: Integrating UAS Imagery and Ai-Generated Data With Diffusion Model","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402264773","doi":"https://doi.org/10.1109/igarss53475.2024.10640764"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10640764","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10640764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","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/A5063376085","display_name":"Xinyue Hu","orcid":"https://orcid.org/0009-0008-3629-7877"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiyang Hu","raw_affiliation_strings":["Lehigh University,Computer Science and Engineering,Bethlehem,PA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lehigh University,Computer Science and Engineering,Bethlehem,PA,USA","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010792548","display_name":"Maryam Rahnemoonfar","orcid":"https://orcid.org/0000-0001-9358-2836"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maryam Rahnemoonfar","raw_affiliation_strings":["Lehigh University,Computer Science and Engineering,Bethlehem,PA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lehigh University,Computer Science and Engineering,Bethlehem,PA,USA","institution_ids":["https://openalex.org/I186143895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I186143895"],"apc_list":null,"apc_paid":null,"fwci":4.4863,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.94576212,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"565","last_page":"568"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.9778000116348267,"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/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9753000140190125,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6705153584480286},{"id":"https://openalex.org/keywords/flood-myth","display_name":"Flood myth","score":0.6358001232147217},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5245711803436279},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.4751736521720886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4117741286754608},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3521080017089844},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34621530771255493},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3204270303249359},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10177260637283325},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.06873413920402527}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6705153584480286},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.6358001232147217},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5245711803436279},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.4751736521720886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4117741286754608},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3521080017089844},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34621530771255493},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3204270303249359},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10177260637283325},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.06873413920402527},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10640764","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10640764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2796299567","https://openalex.org/W2885902532","https://openalex.org/W3042772413","https://openalex.org/W3175205795","https://openalex.org/W3212516020","https://openalex.org/W4312933868","https://openalex.org/W4319336200","https://openalex.org/W4360884927","https://openalex.org/W4383099316","https://openalex.org/W4386076425","https://openalex.org/W6679045638","https://openalex.org/W6753810085"],"related_works":["https://openalex.org/W2394377911","https://openalex.org/W63519562","https://openalex.org/W3020755331","https://openalex.org/W2593813247","https://openalex.org/W4386724243","https://openalex.org/W4388268408","https://openalex.org/W4387816319","https://openalex.org/W2016618709","https://openalex.org/W4380088563","https://openalex.org/W4249839349"],"abstract_inverted_index":{"The":[0,29],"primary":[1],"goal":[2],"of":[3,31,107,124],"early":[4],"disaster":[5],"impact":[6],"assessments":[7],"is":[8],"to":[9],"gather":[10],"georeferenced":[11],"data":[12,24,39,59,80,85],"about":[13],"affected":[14],"areas.":[15],"Floods,":[16],"a":[17,45,114,121],"major":[18],"natural":[19],"calamity,":[20],"pose":[21],"challenges":[22],"in":[23,41,117],"collection":[25],"and":[26,58,75],"response":[27],"coordination.":[28],"use":[30],"Unmanned":[32],"Aerial":[33],"Systems":[34],"(UAS)":[35],"has":[36],"significantly":[37],"improved":[38],"acquisition":[40],"flood-impacted":[42],"regions,":[43],"offering":[44],"cost-effective":[46],"method":[47],"for":[48,71,78,111],"obtaining":[49],"high-quality":[50],"images.":[51,127],"However,":[52],"issues":[53],"like":[54],"accurate":[55,88],"image":[56],"description":[57],"scarcity":[60],"remain.":[61],"Addressing":[62],"these,":[63],"we":[64],"propose":[65],"two":[66],"novel":[67],"methods:":[68],"GPT":[69,82],"models":[70,77,83,92],"precise":[72],"image-to-text":[73],"conversion":[74],"diffusion":[76,91],"flood":[79,99],"simulation.":[81],"enhance":[84],"quality":[86],"with":[87],"descriptions,":[89],"while":[90],"extend":[93],"our":[94,102],"dataset":[95,110],"by":[96],"simulating":[97],"diverse":[98,122],"scenarios,":[100],"enriching":[101],"training":[103],"resources.":[104],"Further":[105],"analysis":[106],"this":[108],"augmented":[109],"similarity":[112],"demonstrates":[113],"wide-ranging":[115],"variety":[116],"the":[118],"data,":[119],"highlighting":[120],"array":[123],"elements":[125],"within":[126]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}