{"id":"https://openalex.org/W4403331717","doi":"https://doi.org/10.23919/fusion59988.2024.10706502","title":"Leveraging Generative Deep Learning Models for Enhanced Change Detection in Heterogeneous Remote Sensing Data","display_name":"Leveraging Generative Deep Learning Models for Enhanced Change Detection in Heterogeneous Remote Sensing Data","publication_year":2024,"publication_date":"2024-07-08","ids":{"openalex":"https://openalex.org/W4403331717","doi":"https://doi.org/10.23919/fusion59988.2024.10706502"},"language":"en","primary_location":{"id":"doi:10.23919/fusion59988.2024.10706502","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fusion59988.2024.10706502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Information Fusion (FUSION)","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/A5048002814","display_name":"Moslem Ouled Sghaier","orcid":"https://orcid.org/0000-0002-2877-3318"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Moslem Ouled Sghaier","raw_affiliation_strings":["OODA Technologies Inc.,Montreal,Quebec,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"OODA Technologies Inc.,Montreal,Quebec,Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068775955","display_name":"Melita Hadzagic","orcid":"https://orcid.org/0000-0002-1490-8082"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Melita Hadzagic","raw_affiliation_strings":["OODA Technologies Inc.,Montreal,Quebec,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"OODA Technologies Inc.,Montreal,Quebec,Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102830364","display_name":"Jun Ye Yu","orcid":"https://orcid.org/0000-0003-4533-2693"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Ye Yu","raw_affiliation_strings":["OODA Technologies Inc.,Montreal,Quebec,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"OODA Technologies Inc.,Montreal,Quebec,Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107013299","display_name":"Sofia Shton","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sofia Shton","raw_affiliation_strings":["OODA Technologies Inc.,Montreal,Quebec,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"OODA Technologies Inc.,Montreal,Quebec,Canada","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083616594","display_name":"Elisa Shahbazian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Elisa Shahbazian","raw_affiliation_strings":["OODA Technologies Inc.,Montreal,Quebec,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"OODA Technologies Inc.,Montreal,Quebec,Canada","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5739,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72124985,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.8621000051498413,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.8621000051498413,"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"}},{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.8008000254631042,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.7645000219345093,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7333472371101379},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6476367115974426},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.6341617107391357},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5755432844161987},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.557918906211853},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.47585031390190125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4758070409297943},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.40915510058403015},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40894484519958496},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33797919750213623},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10800641775131226},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.0711061954498291}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7333472371101379},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6476367115974426},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.6341617107391357},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5755432844161987},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.557918906211853},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.47585031390190125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4758070409297943},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.40915510058403015},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40894484519958496},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33797919750213623},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10800641775131226},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0711061954498291}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/fusion59988.2024.10706502","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fusion59988.2024.10706502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Information Fusion (FUSION)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334436","display_name":"Canadian Space Agency","ror":"https://ror.org/03a1gte98"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2548107336","https://openalex.org/W2587922254","https://openalex.org/W2593414223","https://openalex.org/W2766049824","https://openalex.org/W2787879829","https://openalex.org/W2908048833","https://openalex.org/W2942836410","https://openalex.org/W2969081030","https://openalex.org/W2981650297","https://openalex.org/W2982987214","https://openalex.org/W3011559544","https://openalex.org/W3011936344","https://openalex.org/W3015371551","https://openalex.org/W3016115252","https://openalex.org/W3016947168","https://openalex.org/W3017092406","https://openalex.org/W3033554993","https://openalex.org/W3037587714","https://openalex.org/W3047753558","https://openalex.org/W3048064159","https://openalex.org/W3113331579","https://openalex.org/W3120611686","https://openalex.org/W3154634026","https://openalex.org/W3183600011","https://openalex.org/W6811008586"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W2087346071","https://openalex.org/W4238433571","https://openalex.org/W2967848559","https://openalex.org/W4299831724"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"introduce":[4],"an":[5],"innovative":[6],"approach":[7],"for":[8,105],"Change":[9],"Detection":[10],"(CD)":[11],"in":[12,139],"heterogeneous":[13,141],"(multimodal)":[14],"multi-temporal":[15],"remote":[16],"sensing":[17],"(RS)":[18],"images":[19,107],"employing":[20],"deep":[21,30],"features":[22],"comparison":[23],"through":[24],"the":[25,53,78,89,92,126,130],"utilization":[26],"of":[27,52,66,111,129],"two":[28,93],"advanced":[29],"learning":[31],"models:":[32],"Generative":[33],"Adversarial":[34],"Networks":[35],"(GANs)":[36],"and":[37,60,119],"autoencoders.":[38],"First,":[39],"Deep":[40],"Convolutional":[41],"GANs":[42],"are":[43,58],"implemented":[44],"to":[45,62,134],"convert":[46],"multimodal":[47],"image(s)":[48,51],"into":[49],"synthetic":[50],"same":[54],"modality.":[55],"Subsequently,":[56],"autoencoders":[57],"trained":[59],"employed":[61],"extract":[63],"compressed":[64,95],"representations":[65],"both":[67],"initial":[68],"images.":[69],"Finally,":[70],"a":[71],"change":[72],"map":[73],"is":[74],"obtained":[75],"by":[76],"combining/fusing":[77],"original":[79],"image":[80,86],"with":[81],"its":[82],"corresponding":[83],"generated":[84],"change-free":[85],"resulting":[87],"from":[88],"difference":[90],"between":[91],"learned":[94],"representations.":[96],"Our":[97],"proposed":[98,131],"CD":[99,103,137],"technique":[100],"can":[101],"accommodate":[102],"algorithms":[104],"RS":[106,142],"expressing":[108],"any":[109],"type":[110],"change.":[112],"Experimental":[113],"evaluations":[114],"on":[115],"very":[116],"high-resolution":[117],"optical":[118],"Synthetic":[120],"Aperture":[121],"Radar":[122],"(SAR)":[123],"imagery":[124],"validate":[125],"enhanced":[127],"performance":[128],"method":[132],"compared":[133],"existing":[135],"state-of-the-art":[136],"techniques":[138],"handling":[140],"data.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
