{"id":"https://openalex.org/W4387800351","doi":"https://doi.org/10.48550/arxiv.2310.11622","title":"High-Resolution Building and Road Detection from Sentinel-2","display_name":"High-Resolution Building and Road Detection from Sentinel-2","publication_year":2023,"publication_date":"2023-10-17","ids":{"openalex":"https://openalex.org/W4387800351","doi":"https://doi.org/10.48550/arxiv.2310.11622"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2310.11622","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.11622","pdf_url":"https://arxiv.org/pdf/2310.11622","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2310.11622","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016793787","display_name":"Wojciech Sirko","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sirko, Wojciech","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087447268","display_name":"Emmanuel Asiedu Brempong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brempong, Emmanuel Asiedu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104185950","display_name":"Juliana T. C. Marcos","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marcos, Juliana T. C.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002260292","display_name":"Abigail Annkah","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Annkah, Abigail","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093096736","display_name":"Abel Korme","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Korme, Abel","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093096737","display_name":"Mohammed Alewi Hassen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hassen, Mohammed Alewi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085523874","display_name":"Krishna Sapkota","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sapkota, Krishna","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032503161","display_name":"Tomer Shekel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shekel, Tomer","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093096738","display_name":"Abdoulaye Diack","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Diack, Abdoulaye","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051514360","display_name":"Sella Nevo","orcid":"https://orcid.org/0000-0002-4743-3634"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nevo, Sella","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111952013","display_name":"Jason Hickey","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hickey, Jason","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5072071366","display_name":"John A. Quinn","orcid":"https://orcid.org/0000-0002-6485-2945"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Quinn, John","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5016793787"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9997000098228455,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9965999722480774,"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/computer-science","display_name":"Computer science","score":0.6766470670700073},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6559029817581177},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.595300018787384},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.5879835486412048},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.559096097946167},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.5534008741378784},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5467244386672974},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5284901857376099},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5009105205535889},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4888893663883209},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41404759883880615},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.20519864559173584},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09133929014205933}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6766470670700073},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6559029817581177},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.595300018787384},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.5879835486412048},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.559096097946167},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.5534008741378784},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5467244386672974},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5284901857376099},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5009105205535889},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4888893663883209},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41404759883880615},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.20519864559173584},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09133929014205933},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2310.11622","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.11622","pdf_url":"https://arxiv.org/pdf/2310.11622","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2310.11622","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2310.11622","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2310.11622","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.11622","pdf_url":"https://arxiv.org/pdf/2310.11622","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2025681766","https://openalex.org/W2765548132","https://openalex.org/W2159897444","https://openalex.org/W2542402767","https://openalex.org/W3023086044","https://openalex.org/W4212954839","https://openalex.org/W2142226356","https://openalex.org/W3210000161"],"abstract_inverted_index":{"Mapping":[0],"buildings":[1,132],"and":[2,17,42,141],"roads":[3],"automatically":[4],"with":[5,54,147,176],"remote":[6],"sensing":[7],"typically":[8],"requires":[9],"high-resolution":[10,72,110,177],"imagery,":[11],"which":[12,67,133],"is":[13,47],"expensive":[14],"to":[15,36,56,59,70,94,108],"obtain":[16],"often":[18],"sparsely":[19],"available.":[20],"In":[21],"this":[22],"work":[23,124,154],"we":[24,88,91,103],"demonstrate":[25],"how":[26],"multiple":[27],"10":[28],"m":[29],"resolution":[30,40],"Sentinel-2":[31,57,126,163],"images":[32,58],"can":[33],"be":[34,174],"used":[35],"generate":[37],"50":[38],"cm":[39],"building":[41,101,145],"road":[43],"segmentation":[44,102],"masks.":[45],"This":[46,153],"done":[48,175],"by":[49],"training":[50],"a":[51,64,166],"`student'":[52],"model":[53,66,112],"access":[55,69],"reproduce":[60],"the":[61,75,81,85,98,109],"predictions":[62,76],"of":[63,84,97,114,168],"`teacher'":[65],"has":[68],"corresponding":[71],"imagery.":[73,179],"While":[74],"do":[77],"not":[78],"have":[79],"all":[80],"fine":[82],"detail":[83],"teacher":[86,111],"model,":[87],"find":[89],"that":[90,123,170],"are":[92],"able":[93],"retain":[95],"much":[96],"performance:":[99],"for":[100,129,143,159,165],"achieve":[104],"79.0\\%":[105],"mIoU,":[106],"compared":[107],"accuracy":[113],"85.5\\%":[115],"mIoU.":[116],"We":[117],"also":[118],"describe":[119],"two":[120],"related":[121],"methods":[122],"on":[125],"imagery:":[127],"one":[128,142],"counting":[130],"individual":[131],"achieves":[134],"$R^2":[135],"=":[136],"0.91$":[137],"against":[138],"true":[139],"counts":[140],"predicting":[144],"height":[146],"1.5":[148],"meter":[149],"mean":[150],"absolute":[151],"error.":[152],"opens":[155],"up":[156],"new":[157],"possibilities":[158],"using":[160],"freely":[161],"available":[162],"imagery":[164],"range":[167],"tasks":[169],"previously":[171],"could":[172],"only":[173],"satellite":[178]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}