{"id":"https://openalex.org/W4415936853","doi":"https://doi.org/10.48550/arxiv.2511.00357","title":"Transfer Learning for Onboard Cloud Segmentation in Thermal Earth Observation: From Landsat to a CubeSat Constellation","display_name":"Transfer Learning for Onboard Cloud Segmentation in Thermal Earth Observation: From Landsat to a CubeSat Constellation","publication_year":2025,"publication_date":"2025-11-01","ids":{"openalex":"https://openalex.org/W4415936853","doi":"https://doi.org/10.48550/arxiv.2511.00357"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2511.00357","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.00357","pdf_url":"https://arxiv.org/pdf/2511.00357","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2511.00357","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120271132","display_name":"Niklas W\u00f6lki","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"W\u00f6lki, Niklas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058025087","display_name":"Lukas Kondmann","orcid":"https://orcid.org/0000-0002-2253-6936","observed_orcids":["https://orcid.org/0000-0002-2253-6936"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kondmann, Lukas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013453572","display_name":"Christian Molli\u00e8re","orcid":"https://orcid.org/0000-0002-0145-8748","observed_orcids":["https://orcid.org/0000-0002-0145-8748"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Molli\u00e8re, Christian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Langer, Martin","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Langer, Martin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065036136","display_name":"Julia Gottfriedsen","orcid":"https://orcid.org/0000-0002-7984-2133","observed_orcids":["https://orcid.org/0000-0002-7984-2133"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gottfriedsen, Julia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5062987908","display_name":"Martin Werner","orcid":"https://orcid.org/0000-0002-6951-8022","observed_orcids":["https://orcid.org/0000-0002-6951-8022"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Werner, Martin","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":0.5371000170707703,"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":0.5371000170707703,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.34619998931884766,"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/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.023000000044703484,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cubesat","display_name":"CubeSat","score":0.8429999947547913},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.7739999890327454},{"id":"https://openalex.org/keywords/cloud-detection","display_name":"cloud detection","score":0.7689999938011169},{"id":"https://openalex.org/keywords/u-net","display_name":"U-Net","score":0.7900000214576721},{"id":"https://openalex.org/keywords/lightweight-neural-networks","display_name":"lightweight neural networks","score":0.7139999866485596},{"id":"https://openalex.org/keywords/tensorrt","display_name":"TensorRT","score":0.7400000095367432},{"id":"https://openalex.org/keywords/nvidia-jetson-nano","display_name":"Jetson Nano","score":0.902999997138977},{"id":"https://openalex.org/keywords/limited-labeled-data","display_name":"limited labeled data","score":0.4390000104904175}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7674000263214111},{"id":"https://openalex.org/C2775936636","wikidata":"https://www.wikidata.org/wiki/Q1142930","display_name":"CubeSat","level":3,"score":0.732699990272522},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6621000170707703},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6463000178337097},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5170000195503235},{"id":"https://openalex.org/C206887242","wikidata":"https://www.wikidata.org/wiki/Q830457","display_name":"Cloud cover","level":3,"score":0.498199999332428},{"id":"https://openalex.org/C70352696","wikidata":"https://www.wikidata.org/wiki/Q8928","display_name":"Constellation","level":2,"score":0.4620000123977661},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.4361000061035156},{"id":"https://openalex.org/C199194280","wikidata":"https://www.wikidata.org/wiki/Q3268898","display_name":"Cloud top","level":3,"score":0.4244999885559082},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4050999879837036},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.38089999556541443},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3614000082015991},{"id":"https://openalex.org/C204530211","wikidata":"https://www.wikidata.org/wiki/Q752823","display_name":"Thermal","level":2,"score":0.3467999994754791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3325999975204468},{"id":"https://openalex.org/C39399123","wikidata":"https://www.wikidata.org/wiki/Q1348989","display_name":"Earth observation","level":3,"score":0.32339999079704285},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3012999892234802},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.29660001397132874},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.2854999899864197},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.2827000021934509},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2797999978065491},{"id":"https://openalex.org/C2781448682","wikidata":"https://www.wikidata.org/wiki/Q1093125","display_name":"Cirrus","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2750000059604645},{"id":"https://openalex.org/C2781051052","wikidata":"https://www.wikidata.org/wiki/Q889737","display_name":"Ground segment","level":3,"score":0.2727000117301941},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.2526000142097473}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2511.00357","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.00357","pdf_url":"https://arxiv.org/pdf/2511.00357","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2511.00357","doi":"https://doi.org/10.48550/arxiv.2511.00357","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.00357","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,"listed_in":[],"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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2511.00357","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.00357","pdf_url":"https://arxiv.org/pdf/2511.00357","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5378999710083008,"id":"https://metadata.un.org/sdg/9"}],"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/W3206673181","https://openalex.org/W3093350394","https://openalex.org/W4287928558","https://openalex.org/W4417044351","https://openalex.org/W7053230503","https://openalex.org/W3080852396","https://openalex.org/W6911740450","https://openalex.org/W4205910275","https://openalex.org/W4414789974","https://openalex.org/W3158742449"],"abstract_inverted_index":{"Onboard":[0],"cloud":[1,40,55,142],"segmentation":[2,56],"is":[3],"a":[4,29,62,65,85,92,111],"critical":[5],"yet":[6],"underexplored":[7],"task":[8],"in":[9,91,118,148],"thermal":[10,31,54],"Earth":[11],"observation":[12],"(EO),":[13],"particularly":[14],"for":[15,57],"CubeSat":[16],"missions":[17],"constrained":[18],"by":[19,49],"limited":[20],"hardware":[21],"and":[22,33,81,114,134],"spectral":[23],"information.":[24],"CubeSats":[25],"often":[26],"rely":[27],"on":[28,73,122],"single":[30],"band":[32],"lack":[34],"sufficient":[35],"labeled":[36],"data,":[37],"making":[38],"conventional":[39],"masking":[41,143],"techniques":[42],"infeasible.":[43],"This":[44],"work":[45],"addresses":[46],"these":[47],"challenges":[48],"applying":[50],"transfer":[51],"learning":[52],"to":[53,101,110],"the":[58,71,74,96,108],"FOREST-2":[59],"CubeSat,":[60],"using":[61],"UNet":[63],"with":[64,84],"lightweight":[66,135],"MobileNet":[67],"encoder.":[68],"We":[69,106],"pretrain":[70],"model":[72,109],"public":[75,132],"Landsat-7":[76],"Cloud":[77],"Cover":[78],"Assessment":[79],"Dataset":[80],"fine-tune":[82],"it":[83],"small":[86],"set":[87],"of":[88],"mission-specific":[89],"samples":[90],"joint-training":[93],"setup,":[94],"improving":[95],"macro":[97],"F1":[98],"from":[99],"0.850":[100],"0.877":[102],"over":[103],"FOREST-2-only":[104],"baselines.":[105],"convert":[107],"TensorRT":[112],"engine":[113],"demonstrate":[115],"full-image":[116],"inference":[117],"under":[119],"5":[120],"seconds":[121],"an":[123],"NVIDIA":[124],"Jetson":[125],"Nano.":[126],"These":[127],"results":[128],"show":[129],"that":[130],"leveraging":[131],"datasets":[133],"architectures":[136],"can":[137],"enable":[138],"accurate,":[139],"efficient":[140],"thermal-only":[141],"on-orbit,":[144],"supporting":[145],"real-time":[146],"decision-making":[147],"data-limited":[149],"EO":[150],"missions.":[151]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2025-11-05T00:00:00"}