{"id":"https://openalex.org/W4387802362","doi":"https://doi.org/10.1109/igarss52108.2023.10282881","title":"Knowledge Transfer and Model Compression for Misaligned Building Labels","display_name":"Knowledge Transfer and Model Compression for Misaligned Building Labels","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387802362","doi":"https://doi.org/10.1109/igarss52108.2023.10282881"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10282881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10282881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007445923","display_name":"Bipul Neupane","orcid":"https://orcid.org/0000-0002-5331-9897"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Bipul Neupane","raw_affiliation_strings":["The University of Melbourne,FEIT,Department of Infrastructure Engineering,VIC,Australia,3010"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Melbourne,FEIT,Department of Infrastructure Engineering,VIC,Australia,3010","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084255329","display_name":"Jagannath Aryal","orcid":"https://orcid.org/0000-0002-4875-2127"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jagannath Aryal","raw_affiliation_strings":["The University of Melbourne,FEIT,Department of Infrastructure Engineering,VIC,Australia,3010"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Melbourne,FEIT,Department of Infrastructure Engineering,VIC,Australia,3010","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075301188","display_name":"Abbas Rajabifard","orcid":"https://orcid.org/0000-0002-4256-3173"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Abbas Rajabifard","raw_affiliation_strings":["The University of Melbourne,FEIT,Department of Infrastructure Engineering,VIC,Australia,3010"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Melbourne,FEIT,Department of Infrastructure Engineering,VIC,Australia,3010","institution_ids":["https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165779595"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3632","last_page":"3635"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9983999729156494,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9937999844551086,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/nadir","display_name":"Nadir","score":0.8011358976364136},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7506349086761475},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6987555623054504},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6970478892326355},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"Knowledge transfer","score":0.6221746802330017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5654740333557129},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.5507869124412537},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5344630479812622},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.5057291984558105},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5031928420066833},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4915359914302826},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4719972610473633},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4699029326438904},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.46867331862449646},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24123460054397583},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14766520261764526},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.13985472917556763},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.08543932437896729},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07967519760131836}],"concepts":[{"id":"https://openalex.org/C88575799","wikidata":"https://www.wikidata.org/wiki/Q145825","display_name":"Nadir","level":3,"score":0.8011358976364136},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7506349086761475},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6987555623054504},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6970478892326355},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.6221746802330017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5654740333557129},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.5507869124412537},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5344630479812622},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.5057291984558105},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5031928420066833},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4915359914302826},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4719972610473633},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4699029326438904},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.46867331862449646},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24123460054397583},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14766520261764526},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13985472917556763},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.08543932437896729},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07967519760131836},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss52108.2023.10282881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10282881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8199999928474426,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W149023494","https://openalex.org/W1821462560","https://openalex.org/W1901129140","https://openalex.org/W2774320778","https://openalex.org/W2900765460","https://openalex.org/W2996290406","https://openalex.org/W3015788359","https://openalex.org/W3129544296","https://openalex.org/W4225288408","https://openalex.org/W4306166990","https://openalex.org/W4308867920","https://openalex.org/W6638523607"],"related_works":["https://openalex.org/W1936443018","https://openalex.org/W3114051225","https://openalex.org/W2495312616","https://openalex.org/W2053295005","https://openalex.org/W2043483232","https://openalex.org/W2052056785","https://openalex.org/W2989793328","https://openalex.org/W2979979995","https://openalex.org/W1524657574","https://openalex.org/W2098596049"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"networks":[2],"(CNNs)":[3],"have":[4],"achieved":[5],"high":[6],"precision":[7],"in":[8,37],"the":[9,35,38,46,49,54,126],"extraction":[10],"of":[11,48,128],"low-rise":[12],"buildings":[13],"from":[14,87,93],"very":[15],"high-resolution":[16],"(VHR)":[17],"remote":[18],"sensing":[19],"images.":[20,102],"However,":[21],"there":[22],"are":[23],"two":[24,66],"major":[25],"challenges":[26],"with":[27,77,100],"high-rise":[28,110],"buildings:":[29],"i)":[30],"off-nadir":[31,88,101],"aerial":[32],"images":[33],"causing":[34],"misalignment":[36],"high-risers":[39],"and":[40,43,73,96,105,111,120,131,144],"their":[41],"labels,":[42],"(ii)":[44,90],"finding":[45],"CNN":[47],"right":[50],"size":[51],"fit":[52],"for":[53,65],"available":[55],"data.":[56],"To":[57],"address":[58],"these":[59],"challenges,":[60],"we":[61],"develop":[62],"a":[63],"workflow":[64],"knowledge":[67,71,118],"transfer":[68],"techniques":[69],"namely,":[70],"distillation":[72,119],"supervised":[74,121],"domain":[75,122,133],"adaptation":[76,123],"three":[78],"new":[79],"multi-resolution":[80],"urban":[81],"building":[82],"datasets:":[83],"(i)":[84],"teacher":[85],"data":[86,92,99,107],"images,":[89,95],"student":[91,104],"orthorectified":[94],"(iii)":[97],"evaluation":[98,106],"The":[103,114],"include":[108],"complex":[109],"skyscrapers":[112],"buildings.":[113],"results":[115],"show":[116],"that":[117],"can":[124],"minimise":[125],"effects":[127],"misaligned":[129],"labels":[130],"possible":[132],"shifts":[134],"while":[135],"also":[136],"compressing":[137],"network":[138],"parameters":[139],"by":[140],"at":[141],"least":[142],"74.99%":[143],"99.5%.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}