{"id":"https://openalex.org/W7137832815","doi":"https://doi.org/10.48550/arxiv.2603.13524","title":"Hide and Seek: Investigating Redundancy in Earth Observation Imagery","display_name":"Hide and Seek: Investigating Redundancy in Earth Observation Imagery","publication_year":2026,"publication_date":"2026-03-13","ids":{"openalex":"https://openalex.org/W7137832815","doi":"https://doi.org/10.48550/arxiv.2603.13524"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.13524","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.13524","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"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.2603.13524","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129651979","display_name":"Tasos Papazafeiropoulos","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Papazafeiropoulos, Tasos","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056442117","display_name":"Nikolaos Ioannis Bountos","orcid":"https://orcid.org/0000-0003-1615-0196"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bountos, Nikolaos Ioannis","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129710993","display_name":"Nikolas Papadopoulos","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Papadopoulos, Nikolas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5102851038","display_name":"Ioannis Papoutsis","orcid":"https://orcid.org/0000-0002-2845-9791"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Papoutsis, Ioannis","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":0.5394999980926514,"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":0.5394999980926514,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.20319999754428864,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.061000000685453415,"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/redundancy","display_name":"Redundancy (engineering)","score":0.8734999895095825},{"id":"https://openalex.org/keywords/earth-observation","display_name":"Earth observation","score":0.5307000279426575},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.47530001401901245},{"id":"https://openalex.org/keywords/data-redundancy","display_name":"Data redundancy","score":0.41040000319480896},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.3684000074863434},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.28029999136924744},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.27900001406669617}],"concepts":[{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.8734999895095825},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6096000075340271},{"id":"https://openalex.org/C39399123","wikidata":"https://www.wikidata.org/wiki/Q1348989","display_name":"Earth observation","level":3,"score":0.5307000279426575},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.47530001401901245},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4262999892234802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41589999198913574},{"id":"https://openalex.org/C7545210","wikidata":"https://www.wikidata.org/wiki/Q838123","display_name":"Data redundancy","level":2,"score":0.41040000319480896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.396699994802475},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.3684000074863434},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.28029999136924744},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.27900001406669617},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.274399995803833},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.2703000009059906},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.26249998807907104},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25760000944137573},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.13524","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.13524","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.13524","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.13524","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"growing":[1],"availability":[2],"of":[3,36,93,99,121,126,162,169],"Earth":[4],"Observation":[5],"(EO)":[6],"data":[7,38,49,109,164],"and":[8,57,68,90,113,136,151,182],"recent":[9],"advances":[10],"in":[11,18,107],"Computer":[12],"Vision":[13],"have":[14],"driven":[15],"rapid":[16],"progress":[17,31],"machine":[19],"learning":[20],"for":[21,178],"EO,":[22],"producing":[23],"domain-specific":[24,84],"models":[25],"at":[26,123,133],"ever-increasing":[27],"scales.":[28],"Yet":[29],"this":[30,78,94],"risks":[32],"overlooking":[33],"fundamental":[34],"properties":[35],"EO":[37,48,100,108,163,185],"that":[39,47,105,155],"distinguish":[40],"it":[41,116],"from":[42],"other":[43],"domains.":[44],"We":[45],"argue":[46],"exhibit":[50],"a":[51,61,82,124,159],"multidimensional":[52],"redundancy":[53,106,157],"(spectral,":[54],"temporal,":[55],"spatial,":[56],"semantic)":[58],"which":[59],"has":[60],"more":[62,179],"pronounced":[63],"impact":[64],"on":[65],"the":[66,87,127,176],"domain":[67],"its":[69],"applications":[70],"than":[71,166],"what":[72],"current":[73],"literature":[74],"reflects.":[75],"To":[76],"validate":[77],"hypothesis,":[79],"we":[80],"conduct":[81],"systematic":[83],"investigation":[85],"examining":[86],"existence,":[88],"consistency,":[89],"practical":[91],"implications":[92],"phenomenon":[95],"across":[96,143],"key":[97],"dimensions":[98],"variability.":[101],"Our":[102],"findings":[103],"confirm":[104],"is":[110,158],"both":[111,134],"substantial":[112],"pervasive:":[114],"exploiting":[115],"yields":[117],"comparable":[118],"performance":[119],"($\\approx98.5\\%$":[120],"baseline)":[122],"fraction":[125],"computational":[128],"cost":[129],"($\\approx4\\times$":[130],"fewer":[131],"GFLOPs),":[132],"training":[135],"inference.":[137],"Crucially,":[138],"these":[139],"gains":[140],"are":[141],"consistent":[142],"tasks,":[144],"geospatial":[145],"locations,":[146],"sensors,":[147],"ground":[148],"sampling":[149],"distances,":[150],"architectural":[152],"designs;":[153],"suggesting":[154],"multi-faceted":[156],"structural":[160],"property":[161],"rather":[165],"an":[167],"artifact":[168],"specific":[170],"experimental":[171],"choices.":[172],"These":[173],"results":[174],"lay":[175],"groundwork":[177],"efficient,":[180],"scalable,":[181],"accessible":[183],"large-scale":[184],"models.":[186]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-18T00:00:00"}
