{"id":"https://openalex.org/W7160301103","doi":"https://doi.org/10.1109/wacv61042.2026.00029","title":"MAESTRO: Masked AutoEncoders for Multimodal, Multitemporal, and Multispectral Earth Observation Data","display_name":"MAESTRO: Masked AutoEncoders for Multimodal, Multitemporal, and Multispectral Earth Observation Data","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7160301103","doi":"https://doi.org/10.1109/wacv61042.2026.00029"},"language":null,"primary_location":{"id":"doi:10.1109/wacv61042.2026.00029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","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/A5025945401","display_name":"Antoine Labatie","orcid":null},"institutions":[{"id":"https://openalex.org/I1327553481","display_name":"Institut national de l\u2019information g\u00e9ographique et foresti\u00e8re","ror":"https://ror.org/05jxfge78","country_code":"FR","type":"government","lineage":["https://openalex.org/I1327553481"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Antoine Labatie","raw_affiliation_strings":["Institut National de 1&#x2019;Information g&#x00E9;ographique et foresti&#x00E8;re (IGN),France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut National de 1&#x2019;Information g&#x00E9;ographique et foresti&#x00E8;re (IGN),France","institution_ids":["https://openalex.org/I1327553481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052372103","display_name":"Michael Vaccaro","orcid":null},"institutions":[{"id":"https://openalex.org/I1327553481","display_name":"Institut national de l\u2019information g\u00e9ographique et foresti\u00e8re","ror":"https://ror.org/05jxfge78","country_code":"FR","type":"government","lineage":["https://openalex.org/I1327553481"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Michael Vaccaro","raw_affiliation_strings":["Institut National de 1&#x2019;Information g&#x00E9;ographique et foresti&#x00E8;re (IGN),France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut National de 1&#x2019;Information g&#x00E9;ographique et foresti&#x00E8;re (IGN),France","institution_ids":["https://openalex.org/I1327553481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135288956","display_name":"Nina Lardiere","orcid":null},"institutions":[{"id":"https://openalex.org/I1327553481","display_name":"Institut national de l\u2019information g\u00e9ographique et foresti\u00e8re","ror":"https://ror.org/05jxfge78","country_code":"FR","type":"government","lineage":["https://openalex.org/I1327553481"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nina Lardiere","raw_affiliation_strings":["Institut National de 1&#x2019;Information g&#x00E9;ographique et foresti&#x00E8;re (IGN),France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut National de 1&#x2019;Information g&#x00E9;ographique et foresti&#x00E8;re (IGN),France","institution_ids":["https://openalex.org/I1327553481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001740814","display_name":"Anatol Garioud","orcid":"https://orcid.org/0000-0003-2944-7335"},"institutions":[{"id":"https://openalex.org/I1327553481","display_name":"Institut national de l\u2019information g\u00e9ographique et foresti\u00e8re","ror":"https://ror.org/05jxfge78","country_code":"FR","type":"government","lineage":["https://openalex.org/I1327553481"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Anatol Garioud","raw_affiliation_strings":["Institut National de 1&#x2019;Information g&#x00E9;ographique et foresti&#x00E8;re (IGN),France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut National de 1&#x2019;Information g&#x00E9;ographique et foresti&#x00E8;re (IGN),France","institution_ids":["https://openalex.org/I1327553481"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034200234","display_name":"Nicolas Gonthier","orcid":"https://orcid.org/0000-0002-9236-5394"},"institutions":[{"id":"https://openalex.org/I1327553481","display_name":"Institut national de l\u2019information g\u00e9ographique et foresti\u00e8re","ror":"https://ror.org/05jxfge78","country_code":"FR","type":"government","lineage":["https://openalex.org/I1327553481"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicolas Gonthier","raw_affiliation_strings":["Institut National de 1&#x2019;Information g&#x00E9;ographique et foresti&#x00E8;re (IGN),France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut National de 1&#x2019;Information g&#x00E9;ographique et foresti&#x00E8;re (IGN),France","institution_ids":["https://openalex.org/I1327553481"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1327553481"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.50630828,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"212","last_page":"224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.23360000550746918,"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":0.23360000550746918,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.179299995303154,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.0706000030040741,"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/earth-observation","display_name":"Earth observation","score":0.4812000095844269},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.477400004863739},{"id":"https://openalex.org/keywords/earth","display_name":"Earth (classical element)","score":0.32280001044273376},{"id":"https://openalex.org/keywords/earth-observation-satellite","display_name":"Earth observation satellite","score":0.30059999227523804},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.2912999987602234}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6686999797821045},{"id":"https://openalex.org/C39399123","wikidata":"https://www.wikidata.org/wiki/Q1348989","display_name":"Earth observation","level":3,"score":0.4812000095844269},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.477400004863739},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4023999869823456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3901999890804291},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3433000147342682},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33500000834465027},{"id":"https://openalex.org/C26148502","wikidata":"https://www.wikidata.org/wiki/Q2488752","display_name":"Earth (classical element)","level":2,"score":0.32280001044273376},{"id":"https://openalex.org/C2987528665","wikidata":"https://www.wikidata.org/wiki/Q854845","display_name":"Earth observation satellite","level":3,"score":0.30059999227523804},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.2912999987602234},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.2655999958515167}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv61042.2026.00029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7469048500061035,"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":72,"referenced_works":["https://openalex.org/W3125914437","https://openalex.org/W3144483443","https://openalex.org/W3159481202","https://openalex.org/W3185151088","https://openalex.org/W4214644404","https://openalex.org/W4220917101","https://openalex.org/W4226241688","https://openalex.org/W4242710000","https://openalex.org/W4288391486","https://openalex.org/W4294891446","https://openalex.org/W4312552594","https://openalex.org/W4312795296","https://openalex.org/W4312804044","https://openalex.org/W4313156423","https://openalex.org/W4319594870","https://openalex.org/W4366377626","https://openalex.org/W4385245566","https://openalex.org/W4385801728","https://openalex.org/W4386065702","https://openalex.org/W4386071525","https://openalex.org/W4386076428","https://openalex.org/W4386083042","https://openalex.org/W4388448546","https://openalex.org/W4388543795","https://openalex.org/W4390872394","https://openalex.org/W4390874379","https://openalex.org/W4390874514","https://openalex.org/W4392309149","https://openalex.org/W4393906060","https://openalex.org/W4394838889","https://openalex.org/W4394862745","https://openalex.org/W4396982199","https://openalex.org/W4399344797","https://openalex.org/W4402667899","https://openalex.org/W4402716251","https://openalex.org/W4402727177","https://openalex.org/W4402734376","https://openalex.org/W4402916465","https://openalex.org/W4403635970","https://openalex.org/W4403888438","https://openalex.org/W4404313516","https://openalex.org/W4404708688","https://openalex.org/W4409263216","https://openalex.org/W4409348648","https://openalex.org/W4409704554","https://openalex.org/W4409917472","https://openalex.org/W4412929262","https://openalex.org/W4413145633","https://openalex.org/W4413146067","https://openalex.org/W4413146734","https://openalex.org/W4413554243","https://openalex.org/W4414197865","https://openalex.org/W4414198294","https://openalex.org/W4414199183","https://openalex.org/W4415800723","https://openalex.org/W4417248811","https://openalex.org/W4417305260","https://openalex.org/W7082400430","https://openalex.org/W7124858794","https://openalex.org/W7128795869","https://openalex.org/W7133192139","https://openalex.org/W7133201458","https://openalex.org/W7133231359","https://openalex.org/W7133238359","https://openalex.org/W7133239857","https://openalex.org/W7133241228","https://openalex.org/W7156371306","https://openalex.org/W7160052313","https://openalex.org/W7160083512","https://openalex.org/W7160139956","https://openalex.org/W7160162932","https://openalex.org/W7160175131"],"related_works":[],"abstract_inverted_index":{"Self-supervised":[0],"learning":[1],"holds":[2],"great":[3],"promise":[4],"for":[5,42],"remote":[6],"sensing,":[7],"but":[8],"standard":[9],"self-supervised":[10],"methods":[11],"must":[12],"be":[13],"adapted":[14],"to":[15],"the":[16,61],"unique":[17],"characteristics":[18],"of":[19,35,60],"Earth":[20,47,84],"observation":[21,48,85],"data.":[22,49],"We":[23],"take":[24],"a":[25,32,57,69,74,78],"step":[26],"in":[27,87],"this":[28],"direction":[29],"by":[30],"conducting":[31],"comprehensive":[33],"benchmark":[34],"fusion":[36,66],"strategies":[37],"and":[38,45,68,90],"target":[39],"normalization":[40,70],"schemes":[41],"multimodal,":[43],"multitemporal,":[44],"multispectral":[46],"Based":[50],"on":[51,82,97,102,109],"our":[52],"findings,":[53],"we":[54],"introduce":[55],"MAESTRO,":[56],"novel":[58],"adaptation":[59],"Masked":[62],"Autoencoder":[63],"with":[64],"optimized":[65],"mechanisms":[67],"scheme":[71],"that":[72,99],"incorporates":[73],"spectral":[75],"prior":[76],"as":[77],"self-supervisory":[79],"signal.":[80],"Evaluated":[81],"four":[83],"datasets":[86],"both":[88],"intra-":[89],"cross-dataset":[91],"settings,":[92],"MAESTRO":[93],"achieves":[94],"state-of-the-art":[95],"performance":[96],"tasks":[98],"strongly":[100],"rely":[101],"multitemporal":[103],"dynamics,":[104],"while":[105],"also":[106],"remaining":[107],"competitive":[108],"others.Code:":[110],"https://github.com/ignf/maestro":[111]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-05-06T00:00:00"}
