{"id":"https://openalex.org/W4402260084","doi":"https://doi.org/10.1109/igarss53475.2024.10640473","title":"CornerRegNet: Building Segmentation from Overhead Imagery Using Oriented Corners in Deep Networks","display_name":"CornerRegNet: Building Segmentation from Overhead Imagery Using Oriented Corners in Deep Networks","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402260084","doi":"https://doi.org/10.1109/igarss53475.2024.10640473"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10640473","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10640473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 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/A5041649923","display_name":"Mohammad Moein Sheikholeslami","orcid":"https://orcid.org/0000-0003-4592-826X"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohammad Moein Sheikholeslami","raw_affiliation_strings":["York University,Department of Earth and Space Science and Engineering,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"York University,Department of Earth and Space Science and Engineering,Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067299517","display_name":"Muhammad Kamran","orcid":"https://orcid.org/0000-0002-2943-9098"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Muhammad Kamran","raw_affiliation_strings":["York University,Department of Earth and Space Science and Engineering,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"York University,Department of Earth and Space Science and Engineering,Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047331654","display_name":"Andreas Wichmann","orcid":null},"institutions":[{"id":"https://openalex.org/I10889393","display_name":"Jade University of Applied Sciences","ror":"https://ror.org/02vvvm705","country_code":"DE","type":"education","lineage":["https://openalex.org/I10889393"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Wichmann","raw_affiliation_strings":["Jade University,Institute for Applied Photogrammetry and Geoinformatics,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jade University,Institute for Applied Photogrammetry and Geoinformatics,Germany","institution_ids":["https://openalex.org/I10889393"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036846355","display_name":"Gunho Sohn","orcid":"https://orcid.org/0000-0002-5127-8358"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Gunho Sohn","raw_affiliation_strings":["York University,Department of Earth and Space Science and Engineering,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"York University,Department of Earth and Space Science and Engineering,Canada","institution_ids":["https://openalex.org/I192455969"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1102,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72566372,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"4642","last_page":"4647"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9994999766349792,"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":0.9994999766349792,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7272199392318726},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6842458844184875},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6810464262962341},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6000707149505615},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.519656777381897},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44312217831611633},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34882885217666626}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7272199392318726},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6842458844184875},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6810464262962341},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6000707149505615},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.519656777381897},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44312217831611633},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34882885217666626},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10640473","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10640473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2047935350","https://openalex.org/W2194775991","https://openalex.org/W2963150697","https://openalex.org/W2981989409","https://openalex.org/W3015634290","https://openalex.org/W3035288577","https://openalex.org/W3047485635","https://openalex.org/W3096168491","https://openalex.org/W3104369000","https://openalex.org/W3171450708","https://openalex.org/W3217355560","https://openalex.org/W4361195764","https://openalex.org/W4387623710"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2952348651","https://openalex.org/W2375742443","https://openalex.org/W2149381099","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W4298131179","https://openalex.org/W4200520489","https://openalex.org/W1522196789"],"abstract_inverted_index":{"The":[0],"increasing":[1],"demand":[2],"for":[3,13],"high-resolution":[4],"maps":[5],"across":[6],"various":[7],"applications":[8],"has":[9],"driven":[10],"the":[11,35,87,105,108,115],"need":[12],"building":[14,56,68],"segmentation":[15],"vectors":[16,75],"from":[17,58],"overhead":[18],"imagery.":[19],"Nevertheless,":[20],"current":[21],"deep":[22,47,62],"neural":[23,49],"networks":[24],"commonly":[25],"output":[26,109],"raster":[27],"data,":[28],"necessitating":[29],"extensive":[30],"post-processing":[31],"and":[32,38,72,89,100,114,125,142],"often":[33],"compromising":[34],"fidelity,":[36],"regularity,":[37],"simplicity":[39],"of":[40],"buildings.":[41],"This":[42],"paper":[43],"proposes":[44],"a":[45,61,90,135],"novel":[46],"convolutional":[48],"network,":[50],"CornerRegNet,":[51],"which":[52],"directly":[53],"extracts":[54],"delineated":[55],"polygons":[57],"images.":[59],"Specifically,":[60],"model":[63],"is":[64,84,111],"designed":[65],"to":[66,77,122,129],"predict":[67],"footprint":[69],"masks,":[70],"corners,":[71,107],"corresponding":[73],"orientation":[74],"pointing":[76],"adjacent":[78],"corners.":[79],"Then,":[80],"an":[81],"initial":[82],"polygon":[83,110],"reconstructed":[85],"using":[86,97],"predictions,":[88],"graph":[91],"convolution":[92],"network":[93],"repeatedly":[94],"refines":[95],"it":[96],"both":[98],"semantic":[99],"geometric":[101,116],"features.":[102],"Initialized":[103],"by":[104],"predicted":[106],"inherently":[112],"simple,":[113],"information":[117],"in":[118],"oriented":[119],"corners":[120],"leads":[121],"more":[123],"regular":[124],"accurate":[126],"results.":[127],"Compared":[128],"state-of-the-art":[130],"methods,":[131],"our":[132],"approach":[133],"demonstrates":[134],"highly":[136],"competitive":[137],"performance":[138],"on":[139],"SpaceNet":[140],"Vegas":[141],"CrowdAI":[143],"datasets.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}