{"id":"https://openalex.org/W7165686860","doi":"https://doi.org/10.48550/arxiv.2606.23356","title":"Changing Modalities: Adapting Remote Sensing Models to New Satellites and Sensors","display_name":"Changing Modalities: Adapting Remote Sensing Models to New Satellites and Sensors","publication_year":2026,"publication_date":"2026-06-22","ids":{"openalex":"https://openalex.org/W7165686860","doi":"https://doi.org/10.48550/arxiv.2606.23356"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.23356","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.23356","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.23356","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125570072","display_name":"Tim G. Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Tim G.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139147637","display_name":"Anthony Fuller","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fuller, Anthony","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065203625","display_name":"Geoff Pleiss","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pleiss, Geoff","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5023786468","display_name":"Evan Shelhamer","orcid":"https://orcid.org/0000-0002-5228-3095"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shelhamer, Evan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.24050000309944153,"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":0.24050000309944153,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.07370000332593918,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.07069999724626541,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/modality","display_name":"Modality (human\u2013computer interaction)","score":0.8752999901771545},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.8105000257492065},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5856000185012817},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.5809000134468079},{"id":"https://openalex.org/keywords/retraining","display_name":"Retraining","score":0.5192999839782715},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.34450000524520874},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.30250000953674316},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.29100000858306885}],"concepts":[{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.8752999901771545},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.8105000257492065},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7257999777793884},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5856000185012817},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.5809000134468079},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.5192999839782715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5059999823570251},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.40299999713897705},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36079999804496765},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.34450000524520874},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.30250000953674316},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2831000089645386},{"id":"https://openalex.org/C3020606620","wikidata":"https://www.wikidata.org/wiki/Q179661","display_name":"Treatment modality","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.271699994802475},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.26660001277923584},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.265500009059906},{"id":"https://openalex.org/C2780660688","wikidata":"https://www.wikidata.org/wiki/Q25052564","display_name":"Multimodal learning","level":2,"score":0.2628999948501587},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.25380000472068787},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.23356","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.23356","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.23356","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.23356","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5766595602035522,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Machine":[0],"learning":[1,97],"models":[2,62],"for":[3,87],"remote":[4],"sensing":[5],"are":[6,118],"trained":[7,95],"and":[8,25,66,76,105,138],"deployed":[9],"on":[10,37],"a":[11,38,98,102,121,133,141],"static":[12],"set":[13],"of":[14,43,59],"modalities.":[15],"However,":[16],"as":[17],"we":[18],"equip":[19],"newer":[20],"satellites":[21],"with":[22,45,84],"novel":[23],"sensors":[24],"retire":[26],"old":[27],"ones,":[28],"practitioners":[29],"may":[30],"wish":[31],"to":[32,63,136],"deploy":[33],"an":[34,82],"existing":[35,61],"model":[36,100],"substitution,":[39],"superset,":[40],"or":[41,51],"subset":[42],"modalities":[44,65,130],"minimal":[46],"retraining":[47],"given":[48],"data":[49,108],"availability":[50],"practical":[52,134],"computational":[53],"constraints.":[54],"We":[55,79],"study":[56],"the":[57],"setting":[58],"updating":[60],"changing":[64,90,142],"identify":[67],"three":[68,89],"main":[69],"scenarios:":[70],"Modality":[71],"Transfer":[72],"(substitution),":[73],"Addition":[74],"(superset),":[75],"Peeking":[77],"(subset).":[78],"propose":[80],"DeluluNet,":[81],"architecture":[83],"modular":[85],"components":[86],"all":[88],"modality":[91,110,113],"scenarios.":[92],"DeluluNet":[93,123],"is":[94],"end-to-end,":[96],"multi-modal":[99],"from":[101,115],"unimodal":[103],"teacher":[104],"unlabeled":[106],"multimodal":[107],"via":[109],"hallucination--predicting":[111],"missing":[112],"representations":[114],"those":[116],"that":[117],"present.":[119],"As":[120],"result,":[122],"can":[124],"keep":[125],"predicting":[126],"even":[127],"when":[128],"input":[129],"change,":[131],"providing":[132],"alternative":[135],"re-labeling":[137],"re-training":[139],"in":[140],"world.":[143]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-24T00:00:00"}
