{"id":"https://openalex.org/W7225255091","doi":"https://doi.org/10.6084/m9.figshare.34914732","title":"DINOSAR: large-scale Sar self-supervised pretraining with content-aware view construction","display_name":"DINOSAR: large-scale Sar self-supervised pretraining with content-aware view construction","publication_year":2026,"publication_date":"2026-11-04","ids":{"openalex":"https://openalex.org/W7225255091","doi":"https://doi.org/10.6084/m9.figshare.34914732"},"language":"en","primary_location":{"id":"doi:10.6084/m9.figshare.34914732","doi":"https://doi.org/10.6084/m9.figshare.34914732","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.34914732","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"JournalArticle"},"volume":null,"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.6084/m9.figshare.34914732","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5160696636","display_name":"Yan Tang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yan Tang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5150710406","display_name":"Yifeng Jin","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yifeng Jin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5150647090","display_name":"Zekai Miao","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zekai Miao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5160716544","display_name":"Min Ji","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Min Ji","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5160705553","display_name":"Yu Duan","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu Duan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075035573","display_name":"Shaoming Zhang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shaoming Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5160619737","display_name":"Jianmei Wang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianmei Wang","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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.81142283,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.8490999937057495,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.8490999937057495,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10689","display_name":"Remote-Sensing Image Classification","score":0.0471000000834465,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.03150000050663948,"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/synthetic-aperture-radar-imagery","display_name":"synthetic aperture radar images","score":0.8889999985694885},{"id":"https://openalex.org/keywords/self-supervised-pretraining","display_name":"self-supervised pre-training","score":0.8989999890327454},{"id":"https://openalex.org/keywords/self-distillation","display_name":"self-distillation","score":0.6930000185966492},{"id":"https://openalex.org/keywords/scattering-structures","display_name":"scattering structures","score":0.4230000078678131},{"id":"https://openalex.org/keywords/sar-object-detection","display_name":"SAR object detection","score":0.5580000281333923},{"id":"https://openalex.org/keywords/cross-modal-retrieval","display_name":"cross-modal retrieval","score":0.8370000123977661},{"id":"https://openalex.org/keywords/transferable-representations","display_name":"transferable representations","score":0.5}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7829999923706055},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6208000183105469},{"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/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5835999846458435},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5788999795913696},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4778999984264374},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4584999978542328},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4345000088214874},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4320000112056732},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4196000099182129},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4124999940395355},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40149998664855957},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.38909998536109924},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.36959999799728394},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.3626999855041504},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35190001130104065},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.35179999470710754},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.34790000319480896},{"id":"https://openalex.org/C39399123","wikidata":"https://www.wikidata.org/wiki/Q1348989","display_name":"Earth observation","level":3,"score":0.3456000089645386},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.337799996137619},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33399999141693115},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.3075999915599823},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.30649998784065247},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.3052000105381012},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3050999939441681},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2660999894142151},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2637999951839447}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.6084/m9.figshare.34914732","doi":"https://doi.org/10.6084/m9.figshare.34914732","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.34914732","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"JournalArticle"},{"id":"doi:10.6084/m9.figshare.34914732.v1","doi":"https://doi.org/10.6084/m9.figshare.34914732.v1","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.34914732.v1","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"JournalArticle"}],"best_oa_location":{"id":"doi:10.6084/m9.figshare.34914732","doi":"https://doi.org/10.6084/m9.figshare.34914732","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.34914732","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"JournalArticle"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7223223672","https://openalex.org/W4387427770","https://openalex.org/W7164035317","https://openalex.org/W4387303314","https://openalex.org/W4387829032","https://openalex.org/W4388469817","https://openalex.org/W4402916465","https://openalex.org/W4400333126","https://openalex.org/W4221161776","https://openalex.org/W4417530921"],"abstract_inverted_index":{"Self-supervised":[0],"learning":[1,8],"(SSL)":[2],"provides":[3],"a":[4,74,85,115,165,171],"scalable":[5],"approach":[6],"to":[7],"transferable":[9],"representations":[10],"from":[11,89,126],"unlabeled":[12],"synthetic":[13],"aperture":[14],"radar":[15],"(SAR)":[16],"imagery.":[17,134],"A":[18],"common":[19],"SSL":[20],"strategy":[21],"is":[22],"label-free":[23],"self-distillation,":[24],"which":[25],"derives":[26,84],"supervision":[27],"by":[28,102],"aligning":[29],"randomly":[30],"cropped":[31],"global":[32,98],"and":[33,45,96,99,108,129,141,157,170,182,186],"local":[34,100],"views.":[35],"However,":[36],"in":[37],"SAR":[38,75,122],"imagery,":[39],"informative":[40],"scattering":[41,104],"structures":[42],"are":[43],"sparsely":[44],"unevenly":[46],"distributed,":[47],"so":[48],"random":[49],"view":[50,180],"construction":[51,181],"may":[52],"miss":[53],"target":[54],"content":[55,87],"or":[56],"repeatedly":[57],"sample":[58],"the":[59,64,176],"same":[60],"strong":[61,146],"scatterers,":[62],"weakening":[63],"consistency":[65],"signal.":[66],"To":[67],"address":[68],"these":[69],"challenges,":[70],"we":[71],"propose":[72],"DINOSAR,":[73],"self-supervised":[76],"pretraining":[77,123],"framework":[78],"with":[79],"content-aware":[80,179],"multi-crop":[81],"(CAMC).":[82],"CAMC":[83],"structural":[86],"map":[88],"multi-scale":[90],"ratio-gradient":[91],"responses,":[92],"extracts":[93],"scene-adaptive":[94],"anchors,":[95],"selects":[97],"views":[101],"balancing":[103],"strength,":[105],"anchor":[106],"proximity,":[107],"coverage":[109],"diversity.":[110],"We":[111],"also":[112],"construct":[113],"UniSAR-7M,":[114],"multi-source":[116],"corpus":[117],"of":[118,178,183],"approximately":[119],"seven":[120],"million":[121],"samples":[124],"assembled":[125],"public":[127],"datasets":[128],"openly":[130],"released":[131],"commercial":[132],"satellite":[133],"Across":[135],"classification,":[136],"object":[137],"detection,":[138],"semantic":[139],"segmentation,":[140],"cross-modal":[142],"retrieval,":[143],"DINOSAR":[144],"achieves":[145],"transfer":[147],"performance,":[148],"including":[149],"77.02%":[150],"frozen":[151],"k-NN":[152],"accuracy":[153],"on":[154,160],"ATRNet-STAR":[155],"SOC-40":[156],"55.28":[158],"AP":[159],"SARDet-100K.":[161],"Controlled":[162],"comparisons":[163],"against":[164],"matched":[166],"Random-crop":[167],"DINO":[168],"baseline":[169],"SAR-1M-only":[172],"variant":[173],"further":[174],"confirm":[175],"benefits":[177],"UniSAR-7M\u2019s":[184],"scale":[185],"diversity,":[187],"respectively.":[188]},"counts_by_year":[],"updated_date":"2026-11-06T12:05:46.655746","created_date":"2026-11-05T00:00:00"}
