{"id":"https://openalex.org/W7160413178","doi":"https://doi.org/10.48550/arxiv.2605.03610","title":"deSEO: Physics-Aware Dataset Creation for High-Resolution Satellite Image Shadow Removal","display_name":"deSEO: Physics-Aware Dataset Creation for High-Resolution Satellite Image Shadow Removal","publication_year":2026,"publication_date":"2026-05-05","ids":{"openalex":"https://openalex.org/W7160413178","doi":"https://doi.org/10.48550/arxiv.2605.03610"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.03610","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.03610","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.03610","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135511286","display_name":"Lorenzo Beltrame","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Beltrame, Lorenzo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135446466","display_name":"Jules Salzinger","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Salzinger, Jules","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135430192","display_name":"Filip Svoboda","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Svoboda, Filip","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135454366","display_name":"Phillipp Fanta-Jende","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fanta-Jende, Phillipp","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135501550","display_name":"Jasmin Lampert","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lampert, Jasmin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135504059","display_name":"Radu Timofte","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Timofte, Radu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5079258186","display_name":"Marco K\u00f6rner","orcid":"https://orcid.org/0000-0002-9186-4175"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K\u00f6rner, Marco","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.19990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.19990000128746033,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.1257999986410141,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.06199999898672104,"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/shadow","display_name":"Shadow (psychology)","score":0.7125999927520752},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.6148999929428101},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5898000001907349},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5419999957084656},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.492000013589859},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.44909998774528503},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.41940000653266907},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3937999904155731}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7950999736785889},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7457000017166138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7178999781608582},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.7125999927520752},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.6148999929428101},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5898000001907349},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5419999957084656},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.492000013589859},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.44909998774528503},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.41940000653266907},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4059999883174896},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3937999904155731},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.387800008058548},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3626999855041504},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.3495999872684479},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.3465000092983246},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.33640000224113464},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.3353999853134155},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.2946000099182129},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2881999909877777},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C99695388","wikidata":"https://www.wikidata.org/wiki/Q350514","display_name":"Raised-relief map","level":3,"score":0.25220000743865967}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.03610","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.03610","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.03610","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.03610","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":"article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5361537933349609}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Shadows":[0],"cast":[1,205],"by":[2],"terrain":[3],"and":[4,19,34,63,80,125,133,139,176,210,216,231],"tall":[5],"structures":[6],"remain":[7],"a":[8,78,108,117,122,166,182,186],"major":[9],"obstacle":[10],"for":[11,40,97,233],"high-resolution":[12],"satellite":[13,29,70,98,194,237],"image":[14],"analysis,":[15],"degrading":[16],"classification,":[17],"detection,":[18],"3D":[20,44],"reconstruction":[21],"performance.":[22],"Public":[23],"resources":[24],"offering":[25],"geometry-consistent":[26],"paired":[27,95,162,229],"shadow/shadow-free":[28],"imagery":[30],"are":[31,38],"essentially":[32],"missing,":[33],"most":[35],"Earth-observation":[36],"datasets":[37,52],"designed":[39],"shadow":[41,99,104,234],"detection":[42,105],"or":[43,56,59],"modelling":[45],"rather":[46,67],"than":[47,68],"removal.":[48],"Existing":[49],"deep":[50],"shadow-removal":[51],"either":[53],"target":[54],"ground-level":[55],"aerial":[57],"scenes":[58],"rely":[60],"on":[61,219],"unpaired":[62],"weakly":[64],"supervised":[65],"formulations":[66],"explicit":[69],"pairs.":[71],"We":[72],"address":[73],"this":[74,161],"gap":[75],"with":[76,128],"deSEO,":[77],"geometry-aware":[79,228],"physics-informed":[81],"methodology":[82],"that,":[83],"to":[84,93,148,160,191],"the":[85,91,102,201,225],"best":[86],"of":[87,185,204],"our":[88],"knowledge,":[89],"is":[90],"first":[92,226],"derive":[94],"supervision":[96,153],"removal":[100,235],"from":[101],"S-EO":[103],"dataset":[106,230],"through":[107],"fully":[109],"replicable":[110],"pipeline.":[111],"For":[112],"each":[113],"tile,":[114],"deSEO":[115,222],"selects":[116],"minimally":[118],"shadowed":[119,129],"acquisition":[120],"as":[121],"weak":[123],"reference":[124],"pairs":[126],"it":[127],"counterparts":[130],"using":[131],"temporal":[132],"geometric":[134],"filtering,":[135],"Jacobian-based":[136],"orientation":[137],"normalisation,":[138],"LoFTR-RANSAC":[140],"registration.":[141],"A":[142],"per-pixel":[143],"validity":[144],"mask":[145],"restricts":[146],"learning":[147],"reliably":[149],"aligned":[150],"regions,":[151],"enabling":[152],"despite":[154],"residual":[155,172],"off-nadir":[156],"parallax.":[157],"In":[158,180],"addition":[159],"dataset,":[163],"we":[164],"develop":[165],"DSM-aware":[167],"deshadowing":[168],"model":[169,198],"that":[170],"combines":[171],"translation,":[173],"perceptual":[174,217],"objectives,":[175],"mask-constrained":[177],"adversarial":[178],"learning.":[179],"contrast,":[181],"direct":[183],"adaptation":[184],"UAV-based":[187],"SRNet/pix2pix":[188],"architecture":[189],"fails":[190],"converge":[192],"under":[193],"viewpoint":[195],"variability.":[196],"Our":[197],"consistently":[199],"reduces":[200],"visual":[202],"impact":[203],"shadows":[206],"across":[207],"diverse":[208],"illumination":[209],"viewing":[211],"conditions,":[212],"achieving":[213],"improved":[214],"structural":[215],"fidelity":[218],"held-out":[220],"scenes.":[221],"therefore":[223],"provides":[224],"reproducible,":[227],"baseline":[232],"in":[236],"Earth":[238],"observation.":[239]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-07T00:00:00"}